Data engineer jobs in Moore, OK

Oracle Cloud Infrastructure (OCI) is a pioneering force in cloud technology, merging the agility of startups with the robustness of an enterprise software leader. Within OCI, the Oracle Ai Infra / Gen AI Cloud Engineering team spearheads innovative solutions at the convergence of artificial intelligence and cloud infrastructure. As part of this team, you'll contribute to large-scale cloud solutions utilizing cutting-edge machine learning technologies, aimed at addressing complex global challenges. Join us to create innovative solutions using top-notch machine learning technologies to solve global challenges. We're looking for an experienced Principal Applied Data/Computational Scientist to join our Cloud Engineering team for strategic customers. In this role, you'll collaborate with applied scientists and product managers to design, develop, and deploy tailored Gen-AI solutions with an emphasis on Large Language Models (LLMs), Agents, MCP and Retrieval Augmented Generation (RAG) with large OpenSearch clusters. You will be responsible for identifying, solutioning, and implementing AI solutions to the corresponding GPU IaaS or PaaS. **Qualifications and experience** + Doctoral or master's degree in computer science or equivalent technical field with 10+ years of experience + Able to optimally communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations). + Demonstrated experience in designing and implementing scalable AI models and solutions for production, relevant professional experience as end-to-end solutions engineer or architect (data engineering, data science and ML engineering is a plus), with evidence of close collaborations with PM and Dev teams. + Experience with OpenSearch, Vector databases, PostgreSQL and Kafka Streaming. + Practical experience with setting up and finetuning large OpenSearch Clusters. + Experience in setting up data ingestion pipelines with OpenSearch. + Experience with search algorithms, indexing, optimizing latency and response times. + Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. + Familiarity with Agents and Agent frameworks and Model Context Protocol (MCP) + Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. + Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. + Ability and passion to mentor and develop junior machine learning engineers. + Proficient in Python and shell scripting tools. **Preferred Qualifications** : + PhD/Masters in related field with 5+ years relevant experience + Experience with RAG based solutions architecture. Familiarity in OpenSearch and Vector stores as a knowledge store + Knowledge of LLM and experience delivering, Generative AI And Agent models are a significant plus. + Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. + Experience with semantic search, multi-modal search and conversational search. + Experience in working on a public cloud environment, and in-depth knowledge of IaaS/PaaS industry and competitive capabilities. Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc. + Experience with LLM fine-tuning, especially the latest parameter efficient fine-tuning technologies and multi-task serving technologies. + Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. + Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers). + Experience in diagnosing, fixing, and resolving issues in AI model training and serving. **Responsibilities** **Responsibilities** As part of the **OCI Gen AI Cloud Engineering team** for strategic customers team, you will be responsible for developing innovative Gen AI and data services for our strategic customers. As a Principal Applied Data/Computational Scientist , you'll lead the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle's cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers. + Work directly with key customers and accompany them on their Gen AI journey - understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers. + You will dive deep into model structure to optimize model performance and scalability. + You will build state of art solutions with brand new technologies in this fast-evolving area. + You will configure large scale OpenSearch clusters, setting up ingestion pipelines to get the data into the OpenSearch. + You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned. + Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. + Be an enthusiastic, self-motivated, and a great collaborator. + Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $113,100 to $185,100 per annum. May be eligible for equity. Eligible for commission with an estimated pay mix of 70/30. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 13. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 15. Masters or Ph.D. Degree in a quantitative field 16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 17. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. *What you'll be doing* * Perform analyses on products to answer open-ended questions and provide strategic recommendations. * Design and guide experiments/analysis to measure impact and drive product improvements. * Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis. *What we look for in you:* * At least a BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥2+ years of relevant experience. * Experience driving impact for a digital product with an iterative development cycle. * Understanding of statistical concepts and practical experience applying them (in A|B testing, causal inference, ML, etc.). * Experience in data analyses using SQL. * Experience in programming/modeling in Python. * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 \#LI-Remote *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $152,405-$179,300 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *AI Disclosure* For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

*****CANDIDATE MUST BE US Citizen (due to contractual/access requirements)***** available within the U.S.** In this role, you will be a key contributor to our data infrastructure, responsible for the design, development, and maintenance of efficient, reliable, and high-quality data flow and storage. Your expertise will drive real-time data ingestion and transformation processes, structuring data from diverse sources using Cloud platforms (Azure, GCP, AWS), Databases (BigQuery, Azure Data Explorer), and streaming technologies like Cribl, Kafka, and Azure Event Hubs. A primary responsibility will be creating impactful visualizations and dashboards for internal and enterprise reporting, leveraging tools like Power BI and Tableau to translate business needs into actionable insights. This role requires strong proficiency in scripting/query languages (KQL, SQL, Python, JavaScript) and strong skills in building and optimizing data pipelines, ensuring data quality and integrity throughout the data lifecycle. **ESSENTIAL RESPONSIBILITIES** + Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems + Develop and maintain data models, databases, and data warehouses to support business intelligence and analytics needs + Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs + Monitor work against production schedule,provide progress updates, and report any issues or technical difficulties to lead developers regularly + Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations. + Collaborate on the design and implementation of data security measures, including access controls, encryption, and data masking + Mentor other associate and intermediate data engineers as needed + Perform data analysis and provide insights to support decision-making across various departments + Stay current with industry trends and emerging technologies in data engineering, recommending new tools and best practices as needed + Other duties as assigned or requested. **EXPERIENCE** **Required** + 5 years of experience in design and analysis of algorithms, data structures, and design patterns in the building and deploying of scalable, highly available systems + 5 years of experience in a data engineering, ETL development, or data management role. + 5 years of experience in SQL and experience with database technologies (e.g., MySQL, PostgreSQL, MongoDB). + 5 years of experience in data warehousing concepts and experience with data warehouse solutions (e.g., Snowflake, Redshift, BigQuery) **Preferred** + 7 years of experience with data pipeline and workflow management tools (e.g., Apache Airflow, AWS Glue, Azure Data Factory). + 7 years of experience defining system architectures and exploring technical feasibility trade-offs for optimizing short term execution while planning for long term technical capabilities + 7 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare + 7 years of experience with cloud platforms (AWS, Azure, GCP) and their respective data services + 7 years of experience in data governance, data quality, and data security best practices + 7 years of experience translating requirements, design mockups, prototypes or user stories into technical designs + 7 years of experience in producing data-related code that is fault-tolerant, efficient, and maintainable + 7 years of experience structuring and transforming data from multiple source systems. + 7 years of experience creating data visualizations and dashboards using Power BI or Tableau for internal and external audiences. + 7 years of experience using Cribl as a steaming and transformation solution. **SKILLS** + Demonstrated ability to achieve stretch goals in a highly innovative and fast-paced environment + Adaptability: Strong ability to take on diverse tasks and projects, adapting to the evolving needs of the organization + Analytical Thinking: Strong analytical skills with a focus on detail and accuracy + Interest and ability to learn other data development technologies/languages as needed + Technical Proficiency: Comfortable with a range of data tools and technologies, with a willingness to learn new skills as needed + Strong track record in designing and implementing large-scale data sources + Strong sense of ownership, urgency, and drive + Demonstrated passion for user experience and improving usability + Team Collaboration: A team player who can work effectively in cross-functional environments + Experience and willingness to mentor junior data engineers and help develop their skills and leadership **EDUCATION** **Required** + Bachelor's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field **Preferred** + Master's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field **LICENSES or CERTIFICATIONS** **Required** + None **Preferred** + None **Language (Other than English):** None **Travel Requirement:** 0% - 25% **PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS** **Position Type** Office- or Remote-based Teaches / trains others Occasionally Travel from the office to various work sites or from site-to-site Rarely Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required No Lifting: up to 10 pounds Constantly Lifting: 10 to 25 pounds Occasionally Lifting: 25 to 50 pounds Rarely **_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._ **_Compliance Requirement_** _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._ _As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._ _Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._ **Pay Range Minimum:** $78,900.00 **Pay Range Maximum:** $147,500.00 _Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._ Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law. We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below. For accommodation requests, please contact HR Services Online at ***************************** California Consumer Privacy Act Employees, Contractors, and Applicants Notice Req ID: J273322

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. **POSITION SUMMARY** We are seeking a highly skilled and experienced Senior Privacy Engineer to join our Data Protection team. The Privacy Engineer will be responsible for embedding privacy by design principles into our systems and data-handling processes. This role requires a strong technical background combined with a deep understanding of privacy regulations. The successful candidate will design, build, and maintain the technical controls that protect personal data and ensure the company's continuous compliance. **_What we expect of you -_** + Act as the technical subject matter expert on privacy, guiding product and engineering teams from the initial design phase through launch to ensure new features and systems are built with privacy controls integrated. + Design and implement privacy-enhancing technologies (PETs), such as data anonymization, pseudonymization, encryption, masking, and differential privacy techniques. + Conduct privacy threat modeling, data flow analysis, technical reviews and Privacy Impact Assessments (PIAs) on systems, architecture, and code to identify and mitigate privacy risks, system vulnerabilities, and regulatory compliance gaps. + Build, maintain, and integrate internal tools for privacy automation, such as automated data discovery, classification, consent management, and policy enforcement across our technology stack. + Work with application and data engineering teams to enforce privacy requirements throughout the entire data lifecycle, including data collection, storage, processing, access, retention, and deletion. + Collaborate with engineering, product, legal, and compliance teams to translate privacy and regulatory requirements (e.g., GDPR, CCPA, HIPAA) into technical designs, policies, and guardrails. + Monitor and research new privacy-enhancing technologies, evolving global regulations, and industry best practices. + Evaluate, prototype, and operationalize advanced privacy technologies (e.g. synthetic data, privacy-preserving analytics, homomorphic encryption, secure multiparty computation). + Provide mentorship and guidance to other engineers on privacy-aware development practices, secure coding, and data lifecycle protection. **REQUIRED QUALIFICATIONS** + 5+ years of hands-on experience in security engineering, privacy engineering, privacy enhancing technologies or related fields. + 5+ years of experience with privacy and data protection regulations (GDPR, CCPA, HIPAA, etc.) and translating them into technical requirements. + 3+ years of experience in one or more programming or scripting languages (e.g. Python, Java, Go, Rust, or similar). + 3+ years of experience in designing and implementing cryptographic or data protection systems (e.g. encryption, tokenization, key management). + 3+ years of experience in performing privacy threat modeling, data flow mapping, and conducting DPIAs/PIAs. + 3+ years of experience in working in CI/CD environments, Infrastructure as Code (IaC), and automating security/privacy checks. **PREFERRED QUALIFICATIONS** + Professional Certifications such as CDPSE, CIPP, CIPT, CIPM, CISSP, or equivalent. + Experience building and scaling privacy platforms or features in a fast-paced environment. + Familiarity with Data Loss Prevention (DLP) systems and data mapping tools. + Familiarity with cloud platforms (AWS, Azure, GCP) and various data technologies (SQL, NoSQL databases, data lakes, etc.). + Excellent communication and ability to explain complex technical and legal concepts to diverse audiences. + Experience in healthcare, insurance, or highly regulated industries. **EDUCATION** Bachelor's degree or equivalent experience (High School Diploma and 4 years relevant experience). **BUSINESS OVERVIEW** Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. **Anticipated Weekly Hours** 40 **Time Type** Full time **Pay Range** The typical pay range for this role is: $83,430.00 - $222,480.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. **Great benefits for great people** We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: + **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** . + **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. + **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 12/31/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. We are Boeing Global Services (BGS) Engineering team creating and implementing innovative technologies that make the impossible possible and enabling the future of aerospace. We provide engineering design and support, including aftermarket modifications, and are innovating to make product and services safety even stronger. Join us and put your passion, determination, and skill to work building the future! #TheFutureIsBuiltHere #ChangeTheWorld Join an exciting and growing team in performing complex analysis of aviation data. As modern aircraft produce increasing amounts of data in operations and maintenance, analytics are used to turn that data into insights to improve performance, enable smarter services, increase productivity, and make flying safer. The Boeing Company is currently seeking an Experienced/Lead Engineering Data Scientist to join the Boeing Global Services (BGS) Government Services Analytics team located in Hazelwood, MO, Colorado Springs, CO, or Oklahoma City, OK. In this position you will work with an industry-leading team of data scientists, support US and international customers, and collaborate with engineering teams to create innovative health management solutions for government aircraft platforms. As an experienced/lead data scientist, you will play a crucial role in creating new analytics models that provide aftermarket services for our military customers. Your primary responsibility will be leading the design and development of machine learning models using a wide array of methods to empower aircraft users with valuable insights. This role requires a resourceful, self-driven, outcome-oriented individual with the ability to collaborate respectfully and communicate effectively. The ideal candidate will have advanced knowledge and work history in machine learning, natural language processing (NLP), and retrieval augmented generation (RAG), proven experience in leading data science projects, and a successful track record of deploying machine learning models in a production environment. This position is onsite. The selected candidate will be required to perform work onsite at one of the listed location options. Position Responsibilities: * Lead the design and development of advanced machine learning models and algorithms to solve complex problems as aftermarket services for military customers. * Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards. * Conduct data analysis and exploration to identify patterns, trends, and insights that drive decision-making and improve aircraft health management. * Apply advanced statistical techniques and predictive modeling to develop predictive maintenance strategies and optimize aircraft performance. * Utilize natural language processing, data cleansing, and preprocessing techniques to ensure data quality and integrity for accurate analysis and modeling. * Evaluate and apply modern RAG techniques to generate domain-specific insights from complex customer data, enhancing decision-making and user experience. * Implement and deploy machine learning models into production systems, working closely with software engineering teams to integrate into customer environments. * Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts. * Continuously evaluate and improve existing models and algorithms to enhance their accuracy, efficiency, and scalability. * Ensure data security, privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge. * Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations. * Mentor and provide guidance to junior data scientists and contribute to the development of best practices and standards for data science within the organization. This position requires the ability to obtain a SECRETUS Security Clearance Post-Start for which the US Government requires US Citizenship. To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Our teams are currently searching for a broad range of levels including Experienced and Lead. Basic Qualifications (Required Skills/Experience): * Bachelor's degree from an accredited course of study in Mathematics, Data Science, Computer Science, Engineering, Physics or similar discipline * 5+ years of professional experience in data science, artificial intelligence, or machine learning * 5+ years of experience in Python for data science applications * Experience leading technical teams or projects Preferred Qualifications (Desired Skills/Experience): * Advanced degree (Master's or Doctorate) in Data Science, Engineering, Computer Science, Mathematics, or another similar technical background * 10+ years of professional experience in data science, artificial intelligence, or machine learning * 3+ years of experience in natural language processing * 3+ years of experience in SQL * Proficient with data visualization tools, such as Tableau. * Proficient in deep learning frameworks such as PyTorch and TensorFlow * Experience with generative AI models, including LLMs and RAG, for building knowledge-driven solutions. * Engineering domain knowledge relating to aircraft maintenance, design, or testing * Experience integrating models into customer environments, both on-prem and in cloud environments * Experience working in an agile software development team Relocation: This position offers relocation assistance. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. All information provided will be checked and may be verified. Shift: This position is for 1st shift. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Experienced: $106,250 - $154,100 Lead: $124,100 - $180,550 Export Control Requirements: U.S. Government Export Control Status: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Applications for this position will be accepted until Dec. 23, 2025 Export Control Requirements: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Read more Shows the full job description for sighted users Apply Now Save JobRemove Job

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Home (***************************** »Job Details **Data Architect** Information Technology (************************************************************ Technology) Language English Apply Now (*********************************************************************************************************** **Summary** We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world's best brands, today and into the future. We're solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we're the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The Concentrix Technical Products and Services team is the driving force behind Concentrix's transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we're proud to be recognized with awards such as "World's Best Workplaces," "Best Companies for Career Growth," and "Best Company Culture," year after year. Join us and be part of this journey towards greater opportunities and brighter futures. **Description** **Data Architect** **Job Location:** USA, East Coast (or) Remote - willing to work in EST timings **Job Summary:** We are seeking an experienced Data Architect to design and build the unified data model supporting our Operational Data Store (ODS) initiative. This is a working architect role requiring both strategic data modeling expertise and hands-on technical execution. The ideal candidate will bridge domain-level data ownership (Data Mesh principles) with enterprise-wide integration (Data Fabric patterns), creating a unified data layer that respects source system context while enabling cross-domain analytics and operations. This role requires someone who can define the architectural vision while personally building data models, writing transformation logic, and validating implementations against source systems. This is a remote, work at home opportunity in the US. **Key Responsibilities:** + Design and build the unified data model for the Operational Data Store, balancing domain-specific context with enterprise integration requirements. + Define the architectural approach for federating domain data products into a cohesive enterprise data layer without creating monolithic dependencies. + Develop data transformation specifications, mapping rules, and working examples that preserve domain semantics while enabling cross-domain consistency. + Establish canonical data models that integrate across domain boundaries while respecting source system ownership and business context. + Perform source system analysis, data profiling, and gap assessments to understand domain data products and their integration requirements. + Write and validate SQL queries, transformation logic, and data quality rules to prove out architectural decisions before handoff. + Define system of record ownership across domains and maintain accurate data lineage documentation for federated data sources. + Design integration patterns that allow domains to evolve independently while maintaining enterprise data consistency. + Collaborate directly with Data Engineers during implementation, troubleshooting data quality issues and refining transformation logic. + Partner with domain stakeholders and enterprise architects to align domain data products with cross-domain analytics and operational needs. + Establish federated data governance standards that balance domain autonomy with enterprise consistency requirements. + Conduct architecture reviews focusing on data integrity, performance optimization, and scalability of the ODS. + Ensure compliance with data privacy regulations, security standards, and audit requirements in financial services. + Stay current with industry trends in Data Mesh, Data Fabric, and regulatory changes in the FinTech sector. **Required Qualifications:** + Bachelor's or master's degree in computer science, Information Systems, Data Science, or related field. + 10+ years of experience in data management with at least 5+ years in data architecture roles. + Strong understanding of Data Mesh principles (domain ownership, data as product, federated governance) and Data Fabric concepts (unified access, integration layer, cross-domain visibility). + Proven expertise in logical and physical data modeling using tools such as ERwin, PowerDesigner, or similar. + Experience designing canonical data models that integrate multiple domain data sources while preserving business context. + Strong hands-on SQL skills with ability to write complex queries for data profiling, validation, and transformation. + Experience building Operational Data Stores, data warehouses, or enterprise data hubs with multiple source system integrations. + Demonstrated ability to perform data profiling, source system analysis, and data quality assessments independently. + Hands-on experience developing data transformation specifications and mapping documentation that engineers can implement. + Working knowledge of ETL/ELT patterns and data pipeline architecture. + Familiarity with event streaming platforms (Kafka, Kinesis) for real time data ingestion scenarios. + Solid understanding of data governance, metadata management, and data lineage practices. **Preferred Qualifications:** + Demonstrates judgment and flexibility - positively deals with shifting priorities and rapid change of environments. + Experience in financial services, insurance, or large scale enterprise data platforms. + Experience implementing Data Mesh architectures or federated data governance models. + Proficiency with Python or similar scripting language for data analysis and validation. + Familiarity with cloud data services (AWS Glue, Azure Data Factory, Snowflake, Databricks). + Knowledge of data catalog and lineage tools (Collibra, Alation, Apache Atlas). + Exposure to domain-driven design principles applied to data architecture. + Understanding of regulatory requirements (SOX, GDPR, CCPA) as they apply to data management. + Experience mentoring Data Engineers and establishing team technical standards. At Concentrix, we provide customer experience solutions that may involve handling sensitive data. As part of our hiring process, all candidates must undergo a background check in accordance with applicable law, which will include identity verification and employment eligibility. The base salary for this position is $106,087-$197,020 , plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays and paid learning days. The deadline to apply for this position is: 12/15/2025 \#LI-Remote \#Remote

ProSidian is a Management and Operations Consulting Services Firm focusing on providing value to clients through tailored solutions based on industry leading practices. ProSidian services focus on the broad spectrum of Risk Management, Compliance, Business Process, IT Effectiveness, Energy & Sustainability, and Talent Management. We help forward thinking clients solve problems and improve operations. Launched by former Big 4 Management Consultants; our multidisciplinary teams bring together the talents of nearly 190 professionals globally to complete a wide variety of engagements for Private Companies, Fortune 1,000 Enterprises, and Government Agencies of all sizes. Our Services are deployed across the enterprise, target drivers of economic profit (growth, margin and efficiency), and are aligned at the intersections of assets, processes, policies and people delivering value. ProSidian clients represent a broad spectrum of industries to include but are not limited to Energy, Manufacturing, Chemical, Retail, Healthcare, Telecommunications, Hospitality, Pharmaceuticals, Banking & Financial Services, Transportation, Federal and State Government Agencies. Learn More About ProSidian Consulting at ****************** Job Description ProSidian Seeks a Data Scientist/Statistician (Level 1) - Aerospace Medical Research (AMR9) headquartered near CONUS - Oklahoma City, OK to support requirements for Aerospace and Defense Sector Clients. This CONUS - Oklahoma City, OK - Data Scientist/Statistician (Level 1) - Aerospace Medical Research (AMR9) Contract Contingent position currently best aligns with the Data Scientist/Statistician (Level 1) Labor Category. Ideal candidates exhibit the ability to visualize, analyze, and convert data and experiences to meet performance challenges while confidently engaging in productive “Jugaad” and dialogue targeting mission success. ProSidian Team Members work to provide Gov't. - Federal (USA) Sector related Human Capital Solutions for Aerospace Medical Research and Technical Support Services on behalf of The Civil Aerospace Medical Institute (CAMI). Data Scientist/Statistician (Level 1) - Aerospace Medical Research (AMR9) Candidates shall work to support requirements for (Aerospace Medical Research Services) and shall work as part of a team in support of Aerospace Medical Research efforts. The candidate will complete tasks and activities contributing to deliverables and core mission functions in the Aerospace Medical Research space. Must perform work as required, with typical tasks such as: - Perform analysis of genetic/genomic datasets for the Functional Genomics team, including command-line operations in a Linux operating system (e.g., Red Hat Linux or Scientific Linux). - Find packages to implement assigned analyses, and perform feature/variable testing and selection under supervision of the Functional Genomics team. - Use packages in R/CRAN and other software as needed. - Review software documentation and be responsible for proper implementation of software. Typical analyses of datasets may include basic processing and QA/QC of sequence or microarray files, mapping genetic sequences to a reference genome/transcriptome and performing differential expression analysis; microarray analysis; analyzing genetic variants or SNPs; analyzing chromatin accessibility; analyzing microbiome datasets; performing functional enrichment analyses; and constructing network/pathway diagrams. - Write basic scripts and commands, and include sufficient annotation to allow future use of scripts by other team members. - Provide all scripts, codes, and results to the Functional Genomics team. - Document analytical methods used, including descriptions of names and versions of software along with features used. - Input information about methods in laboratory notebooks and the electronic journal system of the Functional Genomics team. - Aid other members of the Functional Genomics team with compiling scripts or drafting code upon request. - installing software packages and updates/patches as appropriate. - Keep data, files, and code backed up. - Obtain and maintain Collaborative Institutional Training Initiative (CITI Program) certification in human subjects research including Biomedical (Biomed) coursework, and related certification when necessitated by individual projects. #TechnicalCrossCuttingJobs #AerospaceMedicalResearch #Jugaad #AerospaceMedical Qualifications High School diploma required. 2 years relevant experience to include: writing scripts and running -commands in a Linux or Unix operating system; experience with R/CRAN for statistical analysis; experience with Python; experience with bioinformatics analyses such as mapping sequence reads. Adequate verbal/written communication skills to explain their computations to members of the team. U.S. Citizenship Required - You must be a United States Citizen Excellent oral and written communication skills (This employer participates in the e-Verify program) Proficient with Microsoft Office Products (Microsoft Word, Excel, PowerPoint, Publisher, & Adobe) All ProSidian staff must be determined eligible for a “Facility Access Authorization” (also referred to as an “Employment Authorization”) by the USG's designated Security Office. Other Requirements and Conditions of Employment Apply May be required to complete a Financial Disclosure Statement Must be able to submit to and qualify for varying levels of background investigative requirements, up to a Top Secret or DOE "Q" clearance. #TechnicalCrossCuttingJobs #AerospaceMedicalResearch #Jugaad #AerospaceMedical Additional Information As a condition of employment, all employees are required to fulfill all requirements of the roles for which they are employed; establish, manage, pursue, and fulfill annual goals and objectives with at least three (3) Goals for each of the firms Eight Prosidian Global Competencies [1 - Personal Effectiveness | 2 - Continuous Learning | 3 - Leadership | 4 - Client Service | 5 - Business Management | 6 - Business Development | 7 - Technical Expertise | 8 - Innovation & Knowledge Sharing (Thought Leadership)]; and to support all business development and other efforts on behalf of ProSidian Consulting. CORE COMPETENCIES Teamwork - ability to foster teamwork collaboratively as a participant, and effectively as a team leader Leadership - ability to guide and lead colleagues on projects and initiatives Business Acumen - understanding and insight into how organizations perform, including business processes, data, systems, and people Communication - ability to effectively communicate to stakeholders of all levels orally and in writing Motivation - persistent in pursuit of quality and optimal client and company solutions Agility - ability to quickly understand and transition between different projects, concepts, initiatives, or work streams Judgment - exercises prudence and insight in decision-making process while mindful of other stakeholders and long-term ramifications Organization - ability to manage projects and activity, and prioritize tasks ----------- ------------ ------------ OTHER REQUIREMENTS Business Tools - understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint and Word, and proficient with Adobe Acrobat, data analytic tools, and Visio with the ability to quickly learn other tools as necessary. Commitment - to work with smart, interesting people with diverse backgrounds to solve the biggest challenges across private, public and social sectors Curiosity - the ideal candidate exhibits an inquisitive nature and the ability to question the status quo among a community of people they enjoy and teams that work well together Humility - exhibits grace in success and failure while doing meaningful work where skills have impact and make a difference Willingness - to constantly learn, share, and grow and to view the world as their classroom ------------ ------------ ------------ BENEFITS AND HIGHLIGHTS ProSidian Employee Benefits and Highlights: Your good health and well-being are important to ProSidian Consulting. At ProSidian, we invest in our employees to help them stay healthy and achieve work-life balance. That's why we are also pleased to offer the Employee Benefits Program, designed to promote your health and personal welfare. Our growing list of benefits currently include the following for Full Time Employees: Competitive Compensation: Pay range begins in the competitive ranges with Group Health Benefits, Pre-tax Employee Benefits, and Performance Incentives. For medical and dental benefits, the Company contributes a fixed dollar amount each month towards the plan you elect. Contributions are deducted on a Pre-tax basis. Group Medical Health Insurance Benefits: ProSidian partners with BC/BS, to offer a range of medical plans, including high-deductible health plans or PPOs. ||| Group Dental Health Insurance Benefits: ProSidian dental carriers - Delta, Aetna, Guardian, and MetLife. Group Vision Health Insurance Benefits: ProSidian offers high/low vision plans through 2 carriers: Aetna and VSP. 401(k) Retirement Savings Plan: 401(k) Retirement Savings Plans help you save for your retirement for eligible employees. A range of investment options are available with a personal financial planner to assist you. The Plan is a pre-tax Safe Harbor 401(k) Retirement Savings Plan with a company match. Vacation and Paid Time-Off (PTO) Benefits: Eligible employees use PTO for vacation, a doctor's appointment, or any number of events in your life. Currently these benefits include Vacation/Sick days - 2 weeks/3 days | Holidays - 10 ProSidian and Government Days are given. Pre-Tax Payment Programs: Pre-Tax Payment Programs currently exist in the form of a Premium Only Plan (POP). These Plans offer a full Flexible Spending Account (FSA) Plan and a tax benefit for eligible employees. Purchasing Discounts & Savings Plans: We want you to achieve financial success. We offer a Purchasing Discounts & Savings Plan through The Corporate Perks Benefit Program. This provides special discounts for eligible employees on products and services you buy on a daily basis. Security Clearance: Due to the nature of our consulting engagements there are Security Clearance requirements for Engagement Teams handling sensitive Engagements in the Federal Marketplace. A Security Clearance is a valued asset in your professional portfolio and adds to your credentials. ProSidian Employee & Contractor Referral Bonus Program: ProSidian Consulting will pay up to 5k for all referrals employed for 90 days for candidates submitted through our Referral Program. Performance Incentives: Due to the nature of our consulting engagements there are performance incentives associated with each new client that each employee works to pursue and support. Flexible Spending Account: FSAs help you pay for eligible out-of-pocket health care and dependent day care expenses on a pre-tax basis. You determine your projected expenses for the Plan Year and then elect to set aside a portion of each paycheck into your FSA. Supplemental Life/Accidental Death and Dismemberment Insurance: If you want extra protection for yourself and your eligible dependents, you have the option to elect supplemental life insurance. D&D covers death or dismemberment from an accident only. Short- and Long-Term Disability Insurance: Disability insurance plans are designed to provide income protection while you recover from a disability. ---------- ------------ ------------ ADDITIONAL INFORMATION - See Below Instructions On The Best Way To Apply ProSidian Consulting is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, or Vietnam era, or other eligible veteran status, or any other protected factor. All your information will be kept confidential according to EEO guidelines. ProSidian Consulting has made a pledge to the Hiring Our Heroes Program of the U.S. Chamber of Commerce Foundation and the “I Hire Military” Initiative of The North Carolina Military Business Center (NCMBC) for the State of North Carolina. All applicants are encouraged to apply regardless of Veteran Status. Furthermore, we believe in "HONOR ABOVE ALL" - be successful while doing things the right way. The pride comes out of the challenge; the reward is excellence in the work. FOR EASY APPLICATION USE OUR CAREER SITE LOCATED ON ************************* OR SEND YOUR RESUME'S, BIOS, AND SALARY EXPECTATION / RATES TO ***********************. ONLY CANDIDATES WITH REQUIRED CRITERIA ARE CONSIDERED. Be sure to place the job reference code in the subject line of your email. Be sure to include your name, address, telephone number, total compensation package, employment history, and educational credentials.

Job Details Experienced Oklahoma City Office - Oklahoma City, OK Full Time 4 Year Degree NoneDescription The Company Founded in 2006, Revenue Management Solutions has a bold mission to change the healthcare technology landscape by delivering innovative solutions to help solve the complex challenges facing our customers. Our pursuit of this mission is the driving force that brings us to work each day. We believe in embracing new ideas, challenging ourselves and failing forward. We have assembled a team and created a culture where we respect and celebrate individual talents and team wins. With 15+ years in the business of Healthcare Remittance Processing, RMS has continued to advance the Healthcare Revenue Cycle with automated solutions that have put us at the top of our field. If you are looking to join a team where your work can be personally and professionally rewarding, don't just join a company with a mission. Join a mission with a company behind it. We offer top health, dental, vision and 401k benefits Location Revenue Management Solutions, LLC is based in Oklahoma City, Oklahoma. Oklahoma City is a great place to live because it offers affordable living, limited traffic, and wonderful people. Key Responsibilities and Qualifications Job Description The Data Scientist will apply statistical theory and methods to collect, interpret, and summarize data as well as make predictions and recommend actions based on data. Key Responsibilities Conducts statistical analyses to develop strategies Builds predictive models and machine-learning algorithms Identifies data patterns and trends Proposes solutions and strategies to business challenges Presents information using data visualization techniques Documents all processes and research Other duties and responsibilities as assigned Qualifications Excellent verbal and written communication skills Excellent organizational skills and attention to detail Able to multitask, prioritize, and manage time effectively Strong math skills Problem-solving aptitude Education/Experience Bachelor's degree in computer science, statistics, applied math or related field required. Master's degree preferred Extensive background in data mining and statistical analysis At least two years' experience with SQL and statistical software packages (Python, R, SAS) required Experience using business intelligence tools and data frameworks Physical Requirements While performing the duties of this Job, the employee is regularly required to communicate verbally and in the written form. The employee is physically required to utilize a laptop and other electronic devices effectively. The employee must lift and/or move up to 20 pounds (laptop computer, bag, and accessories). Specific vision abilities required by this job include close vision and distance vision. Why Should You Apply? Great benefits Work-life Balance Exciting atmosphere Industry leading technology All candidates are subject to background and drug screens per company policy

Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development * *Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future.* Welcome to Love's: The Lead Data Scientist is a hands-on analytics leader responsible for advancing marketing and customer analytics across Love's convenience store network. This role blends deep technical expertise with people leadership, owning high-impact analytical initiatives that influence revenue growth, customer experience, and marketing effectiveness. Job Functions: Develop deep understanding of Love's business, including products, strategy, customers, and performance, and guide your team in aligning analytics initiatives with business priorities Collaborate with Marketing and other business units to understand needs and design analytical approaches, then lead your team in implementing advanced analytics and machine learning solutions for key domains such as marketing and operations to deliver actionable insights Contribute to the development of enterprise-wide analytics strategy and roadmap, representing the team's perspective Utilize statistical programming languages (R, Python, SAS) to manipulate data and extract insights from large datasets, ensuring team members follow best practices Apply advanced statistical techniques (e.g., A/B testing) and machine learning methods (e.g., time series forecasting, clustering) to solve business problems Supervise and develop a team of data scientists, analysts, and/or analytics engineers by setting goals, managing performance, providing feedback, and fostering a collaborative, high-performing environment Promote best practices in data science methodologies, modeling, experimentation, documentation, and model governance across the team Prioritize team workload and manage delivery timelines in alignment with strategic objectives Identify gaps in measurement and data solutions and lead efforts to recommend and implement improvements that maximize analytics impact Communicate complex insights clearly to stakeholders through presentations, reports, and visualizations, coaching team members on effective storytelling Partner with data engineering to ensure scalable and robust data infrastructure that supports team objectives Stay current with industry trends and emerging tools, introducing innovative techniques into the team's practice Experience and Qualifications: BA/BS minimum, Masters preferred, in a relevant field, such as business analytics, mathematics, statistics, finance, economics, management information systems, computer science, engineering or other quantitative fields. 6+ years of experience preferred in retail, sales, marketing, data, IT, or operations with exposure to reporting and analytics In-depth, hands-on knowledge of data science tools preferred Proven experience with troubleshooting principles and issue resolution technique Skills and Physical Demands: 6+ years of experience querying data from relational databases using SQL, using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities, and extracting insights from large databases, translating data and insights into actionable solutions and presenting findings Competency using R, Python, or other similar statistical software to develop analytical solutions Experience with data wrangling, data cleaning and prep Proven ability to juggle multiple workstreams as needed Data modelling and business analytics experience especially within the retail or marketing domain Excel proficiency including simple formulas and pivot tables Understanding of data warehouse principles and database structures Data visualization skills and ability to present technical solutions to non-technical audience 1+ years of experience with mentoring or leading analytical projects Natural curiosity that welcomes and embraces change and willingness to try new things Excellent written, oral and interpersonal skills Ability to devise an analytical approach to solving business problems Capacity to explain and simplify complex analytics for a wide range of audiences Work effectively within a team-oriented and collaborative environment Keen attention to detail Highly motivated self-starter Must be authorized to work in the U.S. without sponsorship Our Culture: Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture. Love's is an Equal Opportunity Employer. Veterans encouraged to apply. Job Category: Corporate

Responsible for department data analytics, collecting large amounts of data, interpreting data, aiding in departmental data issues, and other data-driven initiatives for the department. * Meets with team members regarding projects * Collects and interprets data and aid in all department data needs * Automates and integrates processes * Develops processes for formulation of data-driven solutions for improvements * Develops complex models that integrate business rules and requirements * Creates machine learning models * Communicates and meets with teams and interested parties * Shares complex ideas verbally and visually in an understandable manner with non-technical stakeholders * Performs other duties as needed to successfully fulfill the functions of the position. Required Education: Bachelor's degree in related field, AND: * 48 months experience in Data Science, Predictive, or Advanced Analytics or related experience. Equivalency/Substitution: Will accept 48 months of experience in lieu of the Bachelor's degree for a total of 96 months of related experience. Skills: * Ability to use data visualization tools * Advanced knowledge of data querying languages, and statistical or mathematical software * Advanced knowledge in writing algorithms, and knowing when to apply them * Ability to understand statistics, multi-variable calculus, and linear algebra * Ability to communicate verbally and in writing * Ability to lead other employees Certifications: None Working Conditions: * Physical: * Sits for prolonged periods of time. * Ability to engage in repetitive motion. * Manual dexterity. * Communicate effectively. * Environmental: * Standard Office Work Environment. Departmental Preferences: * Experience with data visualization tools (Tableau, Power BI, etc.). * Knowledge of machine learning or predictive modeling techniques in a healthcare context. * Familiarity with quality improvement methodologies (e.g., Six Sigma, Lean). * Prior experience supporting grant-funded clinical research or academic medical centers * Master of Science degree in Data Science, Biostatistics, Epidemiology, Health Informatics, or other related field. Why You Belong at the University of Oklahoma: The University of Oklahoma values our community's unique talents, perspectives, and experiences. At OU, we aspire to harness our innovation, creativity, and collaboration for the advancement of people everywhere. You Belong Here! Equal Employment Opportunity Statement: The University, in compliance with all applicable federal and state laws and regulations, does not discriminate on the basis of race, color, national origin, sex, sexual orientation, marital status, genetic information, gender identity/expression (consistent with applicable law), age (40 or older), religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes but is not limited to admissions, employment, housing, financial aid, and educational services.

**A Day in the Life:** The **Senior Data Engineer, PySpark** will be responsible for building and maintaining data pipelines and workflows that support ML, BI, analytics, and software products. This individual will work closely with data scientists, data engineers, analysts, software developers and SME's within the business to deliver new and exciting products and services. The main objectives are to develop data pipelines and fully automated workflows to drive operational efficiency and effectiveness by enabling data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to business teams and leaders to highlight potential risks and opportunities that initiate the drive for change. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL LEADERSHIP + Development of high-quality code for the core data stack including data integration hub, data warehouse and data pipelines. + Build data flows for data acquisition, aggregation, and modeling, using both batch and streaming paradigms + Empower data scientists and data analysts to be as self-sufficient as possible by building core systems and developing reusable library code + Support and optimize data tools and associated cloud environments for consumption by downstream systems, data analysts and data scientists + Ensure code, configuration and other technology artifacts are delivered within agreed time schedules and any potential delays are escalated in advance + Collaborate across developers as part of a SCRUM or Kanban team ensuring collective team productivity + Participate in peer reviews and QA processes to drive higher quality + Ensure that 100% of code is well documented and maintained in source code repository. INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Proactively educate others on basic data management concepts such as data governance, master data management, data warehousing, big data, reporting, data quality, and database performance. + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of leadership within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + 5+ years professional experience as a data engineer, software engineer, data analyst, data scientist or related role + Strongly prefer hands on experience with DataBricks or Palantir + Experience with relational and dimensional database modelling (Relational, Kimball, or Data Vault) + Proven experience with all aspects of the Data Pipeline (Data Sourcing, Transformations, Data Quality, Etc...) + Bachelors or Masters in Computer Science, Information Systems, or an engineering field or equivalent work experience + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays preferred + Prefer experience with event driven architectures and data streaming pub/sub technologies such as IBM MQ, Kafka, or Amazon Kinesis. + Strong capabilities in a scripting language such as Python, R, Scala, etc. + Strong capabilities in SQL and experience with stored procedures + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

**Employment Type:** FullTime Remote **Department** Finance & Operations, Data **Compensation:** $160.1K - $188.1K - Offers Equity _At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here (****************************** _._ **Overview** We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. **About the Role:** As a Marketing Data Scientist at Confluent, you will be a key player in analyzing lead funnel efficiency, marketing measurement and pipeline management. In this role, you will collaborate with Marketing, Growth, Sales & Finance stakeholders. Your focus will include data exploration, conducting in-depth analyses, and generating actionable insights to optimize and sustain healthy marketing funnel. **What You Will Do:** + Identify high-impact opportunities through data exploration, and generate strategic insights by collaborating with cross-functional teams, contributing to improvement amongst top of the funnel conversion metrics. + Define marketing metrics to measure success, develop scalable reporting to monitor the health of our pipeline, and analyze drivers for company KPIs + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining marketing campaign and pipeline strategy + Design and execute A/B tests to measure the impact of product features and launches, providing insights that guide iterative improvements. + Provide deep understanding of customer journey phases, from awareness to conversion with expertise in analyzing metrics like ROI, CLTV etc. to identify opportunities for growth and optimization + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making **What You Will Bring:** + 3+ years of experience in Data Science supporting a marketing function, preferably at a B2B SaaS company + Strong proficiency in data manipulation, especially using SQL (3+ years of experience) and a scripting language (Python/R) + Proficiency in data visualization and building dashboards with tools such as Tableau + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Experience with marketing attribution models across a variety of channels (SEO, Paid Search, Social, etc.) and A/B testing frameworks + Exceptional problem solving skills and detail-oriented mindset + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Familiarity with lead funnel, marketing attribution models, and marketing measurement using causal inference and other advanced analytical methods. + Understanding of the B2B Marketing Stack, Salesforce objects **Ready to build what's next? Let's get in motion.** **Come As You Are** Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Manager of Data Engineering to join our Digital Nexus technology organization. This is a hybrid work opportunity. Responsibilities: * Lead a team of Azure Data Lake and business intelligence engineers in designing and delivering ADL Pipelines, Notebooks and interactive Power BI dashboards that clearly communicate actionable insights to stakeholders; contribute strategic thought leadership to shape the firm's business intelligence vision and standards * Design and maintain scalable data pipelines using Azure Data Factory and Databricks to ingest, transform, and deliver data across medallion architecture layers; develop production-grade ETL/ELT solutions using PySpark and SQL to produce analytics-ready Delta Lake datasets aligned with enterprise standards * Apply critical thinking and creativity to design innovative, non-standard BI solutions that address complex and evolving business challenges; design, build, and optimize data models to support analytics, ensuring accuracy, reliability, and efficiency * Stay ahead of emerging technologies including Generative AI and AI agents to identify novel opportunities that improve analytics, automation, and decision-making across the enterprise * Manage and provide technical expertise and strategic guidance to counselees (direct reports), department peers, and cross-functional team members; set goals, participate in strategic initiatives for the team, and foster the development of high-performance teams * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: * Minimum seven years of recent experience designing and building ADL Pipelines and Data bricks notebooks and interactive dashboards using modern business intelligence tools (preferably Power BI); minimum two years of recent experience designing scalable data pipelines using Azure Data Factory and Azure Databricks to support ingestion, transformation, and delivery of data across medallion architecture layers * Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED is required * Demonstrated analytical and problem-solving abilities, with a creative and methodical approach to addressing complex challenges * Advanced knowledge of SQL, DAX, and data modeling concepts; proven track record in defining, managing, and delivering BI projects; ability to participate in the development of resource plans and influence organizational priorities * Excellent written and verbal communication skills, including the ability to effectively present proposals and vision to executive leadership * Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: ********************************************************************** KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

**Country:** United States of America , Oklahoma City, OK, 73135 USA ** Onsite **U.S. Citizen, U.S. Person, or Immigration Status Requirements:** U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. **Security Clearance:** None/Not Required Pratt & Whitney is working to once again transform the future of flight-designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we're seeking the people to drive it. So, calling all curious. Come ready to explore and you'll find a place where your talent takes flight-beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we'll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that's evolving fast to the future. At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond? You will be an integral part of Pratt & Whitney's Sustainment Operational Excellence Data Engineering & Analytics team. This team supports the global aftermarket maintenance and overhaul of engines for the F117, F119, and F135 programs. We are looking for a Data Engineer II to advance the digital and data capability of the Military Engines Global Depot Network organization. You will be working on exciting new technologies like cloud and open-source tools among others, and be responsible for cleaning, standardizing, transforming, and configuring data products within our emerging data mesh. **What You Will Do:** + Create and maintain scripts written in Spark SQL or Pyspark in Databricks Notebooks. Also, work with SMEs to understand complex datasets for next generation data products and data visualizations to create data mesh tables. + Develop scalable and sustainable data product transformations that curate, clean and store data efficiently; perform statistical analysis to quantify completeness and validity; perform bug fixes and apply enhancements to the models when the need arises. + Ensure high performance and reliability of data transformation processes and pipelines. + Collaborate cross-functionally to gather insights, refine requirements, and ensure alignment between product goals and team efforts. + Document data processes, logic, and data sources to ensure transparency and knowledge sharing as well as support the overall team with any ad-hoc data related tasks. + Work to convert our existing data visualizations in Power BI to use Databricks instead of Azure Synapse. + Keep up to date with technologies and use advanced cloud data warehouse and data transformation techniques to build innovative solutions. **Qualifications You Must Have:** + A degree in Science, Technology, Engineering or Mathematics (STEM) with 2+ years of experience in the use of SQL and/or Python to transform, clean, and integrate data from a variety of source pipelines. + U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. **Qualifications We Prefer:** + Experience with transformation tools such as dbt, Databricks pipelines, or relevant tools such as SSIS, ADF, or Matillion. + Demonstrated experience with Git/GitHub; experience working in cloud data warehouses like Databricks. + Familiarity with agile methodologies and Kanban boards. + Self-motivated, team player with good communication skills. Ability to focus on results and successfully manage multiple tasks/projects. + An astute individual, with the ability to build strong cross-functional relationships; excited at the prospect of developing and implementing new data products that add organizational value & improve decision making capabilities. + Business experience with Aerospace or other heavy manufacturing industry. + An understanding of ER Diagrams for data modeling. + Demonstrated understanding of data mesh design principles and data engineering best practices. **Learn More & Apply Now!** **What is my role type?** In addition to transforming the future of flight, we are also transforming how and where we work. We've introduced role types to help you understand how you will operate in our blended work environment. This role is: **Onsite** : Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines. Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee's personal responsibility. **_As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote._** The salary range for this role is 66,000 USD - 130,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. _RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act._ **Privacy Policy and Terms:** Click on this link (******************************************************** to read the Policy and Terms Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Job Title Canoo Data Platform - Data Engineer About Canoo Canoo's mission is to bring EVs to Everyone and build a world-class team to deploy this sustainable mobility revolution. We have developed breakthrough electric vehicles that are reinventing the automotive landscape with pioneering technologies, award-winning designs, and a unique business model that spans all owners in the full lifecycle of the vehicle. Canoo is starting production and is distinguished by its pioneering and experienced team of technologists, engineers, and designers. With offices around the country, the company is scaling quickly and seeking candidates who love to challenge themselves, are motivated by purpose, and possess a strong desire to get things done. The “Canoo Way” Canoo's success is the direct result of our disciplined application of our core operating principles and drills, which are based on three main principles: Think 80/20 (“Important versus less important”), Act 30/30 (“Reduce waste and increase output”), and Live 90/10 (“We have each other's back”). We hire based on “MET” - Mindset, Equipment and willingness to Train - and seek individuals that take accountability and deliver results being Humble, Hungry to succeed, and Hunting for opportunities to win. We train our team to engage with each other by modulating between their intellect (iQ) and emotional intelligence (eQ) applying Facts, Finesse, and Force when they communicate. The principles and drills of the CANOO Way have been fundamental to our success, our ability to grow, continuously improve, innovate and are at the core of our day-to-day operations. Job Purpose As a Data Engineer, you will be responsible for developing and maintaining highly scalable data pipelines that enable data transformation and load between internal systems, IoT devices (electric vehicles), external backend systems, and frontend user interfaces. You will design and implement data streams ensuring data quality, data integrity, security, and high performance. Additionally, you will collaborate with cross-functional teams to continually integrate all company systems. Responsibilities (80s of the Position) Work with stakeholders to gather data and reporting requirements, to build dashboards and data flows. Create infrastructure-as-code, deployment pipelines, developer tools, and other automations. Understand product requirements, engage with team members and customers to define solutions, and estimate the scope of work required. Deliver solutions that can keep up with a rapidly evolving product in a timely fashion. Required Experience Google Cloud Platform (GCP), GCS, BigQuery Expertise with one or more back-end languages such as Python, Go, TypeScript, JavaScript, etc. SQL expertise - DBT experience a plus. Experience with cloud services like GCP, AWS or Azure. Kafka Dashboarding and Reporting - Superset, Looker Git - BitBucket/Gitlab *Kubernetes - Mid-Level Experience Preferred Experience Python Python dependency management and custom packages Expertise with Google Cloud Platform (GCP) Data Warehousing - partitioning, segmentation Internet of Things (IoT) and MQTT Docker Terraform - experience a plus CI/CD tooling - Jenkins/git-ci Understanding of automotive and embedded software systems Travel Requirements Onsite presence in the office, this is not a remote or hybrid role. Travel may be required on an occasional basis for events such as team meetings or working with manufacturers or subject-matter experts on particular tasks ( Physical Requirements for Non-Physical Positions While performing the duties of this job, employees may be required to sit for prolonged periods of time, occasionally bending or stooping, lifting up to 10 pounds, and prolonged periods of computer use. Reasonable Accommodations Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position. What's Cool About Working Here... Meaningful, challenging work that will redefine automotive landscape and make EVs available to everyone Comprehensive Health Insurance Equity Compensation Flexible Paid Time Off Casual workplace with an unbelievable feeling of energy Canoo is an equal opportunity-affirmative action employer and considers all qualified applicants for employment based on business needs, job requirements and individual qualifications, without regard to race, color, religion, sex, age, disability, sexual orientation, gender identity or expression, marital status, past or present military service or any other status protected by the laws or regulations in the locations where we operate. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Any unsolicited resumes or candidate profiles submitted in response to our job posting shall be considered the property of Canoo Inc. and its subsidiaries and are not subject to payment of referral or placement fees if any such candidate is later hired by Canoo unless you have a signed written agreement in place with us which covers the applicable job posting. Canoo maintains compliance with the OFCCP. As such, please feel free to review the following information: ****************************************** ************************************************************************* If you are a person with a disability needing assistance with the application process, please call ************** or email us at *************************** Equal Employment Opportunity Posters Equal Employment Opportunity Posters | U.S. Department of Labor (dol.gov)