Data engineer jobs in Baton Rouge, LA

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.

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.

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 (**************************************** .

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 Modeling - Manager** **The opportunit** **y** We are looking for a dynamic and experienced Manager of Data Modeling to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills **Your Key Responsibilities** 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 business requirements are translated into effective technical solutions. + Understand and analyze business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. + Lead the design and development of conceptual, logical, and physical data models for the Enterprise Data Warehouse (EDW), adhering to Kimball dimensional methodology (dimensional modeling approach, a core skill for this role. + Design and implement **star schemas** (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency. + Define and model **Slowly Changing Dimensions (SCD)** , with an emphasis on **SCD Type 2** , to accurately capture and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time. + Collaboratively determine the appropriate **grain** (atomic level of detail) for fact tables and identify measurable **facts** (metrics) and their relationships to the surrounding dimension tables. + Design highly denormalized dimension structures to reduce joins and simplify querying for end-users and analytical tools. + Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs. + Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models. + Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality. + Manage and provide guidance to a small team of 1-3 resources + Document and communicate data model designs and standards to ensure understanding and compliance across the organization. + Create detailed **source-to-target mapping (STM) documentation** and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules. + Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes. + Guide team on implementing data modelling techniques such as Kimball's dimensional modeling + Developing conceptual, logical, and physical data models to support data analysis and business intelligence. + Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. + Having cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification. **To qualify for the role, you must have** + A Bachelor's degree in STEM + 10+ Years of hands-on Experience in data modelling + Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling + Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server). + Strong understanding of **data warehousing** principles, ETL/ELT architecture, data quality management, and metadata management. + **Mastery of SCD Type 2** (SCD2) implementation for preserving historical data (e.g., using **surrogate keys** , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4, 6) is also expected + The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models. + Proficiency in data modelling tools such as Erwin / Visio or Power Designer + Experience in designing and implementing database structures + Ability to create and maintain conceptual, logical, and physical data models + Knowledge of industry best practices for data modelling and database design + Ability to collaborate with cross-functional teams to gather and analyze data requirements + Experience in performance tuning and optimization of database queries + Having cloud certification is an added advantage + Strong analytical and problem-solving skills + Excellent communication and documentation skills. + Knowledge in Hospitality Domain is mandatory. **Ideally, you'll also have** + Strong business acumen with the ability to manage complex client relationships + Proven experience in managing and leading teams within a dynamic environment + Excellent communication and interpersonal skills + Cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification. + Experience in leading and influencing teams, with a focus on mentorship and professional development. + A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. + The ability to foster an inclusive environment that values diverse perspectives and empowers team members. + Spanish speaking + Italian speaking **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. 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 $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. 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 ************************** .

*****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

**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.

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're seeking a Sr. Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for analytic and data science workloads. Key Responsibilities: + Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources. + Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs. + Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access. + Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. + Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models. + Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers. + Design and architect data infrastructure analytical workloads. **Required Qualifications** + 5+ years of applicable work experience + Proficiency in Python, specifically with ETL pipelines. + Strong proficiency in SQL and experience in developing complex queries. + Familiarity with py Spark, DBT, or other similar frameworks. + Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP). + Understanding of data warehousing concepts, dimensional modeling, and building data marts. + Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. **Preferred Qualifications** + Knowledge of data governance best practices in a cloud environment. + Experience with machine learning flows on GCP. + Experience with data design in BigQuery + Experience working with the Epic data model. + Experience working with healthcare data (Tuva or OMOP Models a plus). **Education and Experience** + College degree or certification in related fields **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: 12/29/2025 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.

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve. Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies Certified as a Great Place to Work Fortune Best Workplaces in Financial Services & Insurance Data Consultant **PRIMARY PURPOSE OF THE ROLE** : To develop complex reports and analyze company data including Corporate or client specific data; to serve as a technical resource for company staff on data analysis and benchmarking issues; to meet with clients on such issues as necessary; to provide training and data analysis education for program staff; and to provide technical oversight and guidance to client dedicated analysts located in multiple field offices. **ARE YOU AN IDEAL CANDIDATE?** We are looking for enthusiastic candidates who thrive in a collaborative environment, who are driven to deliver great work, are customer-oriented and are naturally empathetic. **ESSENTIAL RESPONSIBLITIES MAY INCLUDE** + Develops comprehensive, complex and accurate information reports. + Creates complex data reports and provides analysis for forecasting and/or benchmarking used by senior management. + Reports directly to senior management; communicates data findings for forecasting and client needs. + Obtains, analyzes and provides appropriate feedback on company or client specific information needs. + Provides complex data analysis functions to meet client specific, program or company senior management needs. + Serves as a resource for colleagues on data analysis and benchmarking issues. + Provides technical oversight and guidance to client dedicated analysts located in multiple field offices. + Provides training and data analysis education for colleagues. + Performs other duties as assigned. + Supports the organization's quality program(s). + Travels as required. **QUALIFICATIONS** Bachelor's degree with major in Business Administration, Statistics, or Quantitative Analysis from an accredited college or university preferred. Computer Science courses preferred. Six (6) years of related experience or equivalent combination of education and experience required. Experience in an insurance related field and one (1) year statistical analysis strongly preferred. Skills & Knowledge + **Python, Hex Project, Excel** + Knowledge of risk management information systems including utilization and functionality + Excellent oral and written communication, including presentation skills + PC literate, including Microsoft Office products + Analytical and interpretive skills + Strong organizational skills + Strong time management skills + Excellent interpersonal skills + Excellent negotiation skills + Ability to work in a team environment + Ability to meet or exceed Performance Competencies NOTE: Credit security clearance, confirmed via a background credit check, is required for this position. **TAKING CARE OF YOU** + Career development and promotional growth opportunities. + A diverse and comprehensive benefits offering including medical, dental vision, 401k, PTO and more. \#IT \#informationtechnology Work environment requirements for entry-level opportunities include - Physical: Computer keyboarding Auditory/visual: Hearing, vision and talking Mental: Clear and conceptual thinking ability; excellent judgement and discretion; ability to meet deadlines The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Sedgwick retains the discretion to add or to change the duties of the position at any time. Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. **If you're excited about this role but your experience doesn't align perfectly with every qualification in the , consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the** **right candidate for this or other roles.** Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. **If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.** **Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company's expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see** **sedgwick.com**

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

**A Day in the Life:** We are seeking a talented **Sr Data Engineer, Palantir (experience required)** to join our Strategic Data & Analytics team working on Hertz's strategic applications and initiatives. This role will work in multi-disciplinary teams rapidly building high-value products that directly impact our financial performance and customer experience. You'll build cloud-native, large-scale, employee facing software using modern technologies including React, Python, Java, AWS, and Palantir Foundry. The ideal candidate will have strong development skills across the full stack, a growth mindset, and a passion for building software at a sustainable pace in a highly productive engineering culture. Experience with Palantir Foundry is highly preferred but not required - we're looking for engineers who are eager to learn and committed to engineering excellence. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** Day-to-Day Responsibilities + Work in balanced teams consisting of Product Managers, Product Designers, and engineers + Test first - We strive for Test-Driven Development (TDD) for all production code + CI (Continuous Integration) everything - Automation is core to our development process + Architect user-facing interfaces and design functions that help users visualize and interact with their data + Contribute to both frontend and backend codebases to enhance and develop projects + Build software at a sustainable pace to ensure longevity, reliability, and higher quality output Frontend Development + Design and develop responsive, intuitive user interfaces using React and modern JavaScript/TypeScript + Build reusable component libraries and implement best practices for frontend architecture + Generate UX/UI designs (no dedicated UX/UI designers on team) with considerations for usability and efficiency + Optimize applications for maximum speed, scalability, and accessibility + Develop large-scale, web and mobile software utilizing appropriate technologies for use by our employees Backend Development + Develop and maintain RESTful APIs and backend services using Python or Java + Design and implement data models and database schemas + Deploy to cloud environments (primarily AWS) + Integrate with third-party services and APIs + Write clean, maintainable, and well-documented code Palantir Foundry Development (Highly Preferred) + Build custom applications and integrations within the Palantir Foundry platform + Develop Ontology-based applications leveraging object types, link types, and actions + Create data pipelines and transformations using Python transforms + Implement custom widgets and user experiences using the Foundry SDK + Design and build functions that assist users to visualize and interact with their data Product Development & Delivery + Research problems and break them into deliverable parts + Work with a Lean mindset and deliver value quickly + Participate in all stages of the product development and deployment lifecycle + Conduct code reviews and provide constructive feedback to team members + Work with product managers and stakeholders to define requirements and deliverables + Contribute to architectural decisions and technical documentation **What We're Looking For:** + Experience with Palantir Foundry platform, required + 5+ years in web front-end or mobile development + Bachelor's or Master's degree in Computer Science or other related field, preferred + Strong proficiency in React, JavaScript/TypeScript, HTML, and CSS for web front-end development + Strong knowledge of one or more Object Oriented Programming or Functional Programming languages such as JavaScript, Typescript, Java, Python, or Kotlin + Experience with RESTful API design and development + Experience deploying to cloud environments (AWS preferred) + Understanding of version control systems, particularly GitHub + Experience with relational and/or NoSQL databases + Familiarity with modern frontend build tools and package managers (e.g., Webpack, npm, yarn) + Experience with React, including React Native for mobile app development, preferred + Experience in Android or iOS development, preferred + Experience with data visualization libraries (e.g., D3.js, Plotly, Chart.js), preferred + Familiarity with CI/CD pipelines and DevOps practices, preferred + Experience with Spring framework, preferred + Working knowledge of Lean, User Centered Design, and Agile methodologies + Strong communication skills and ability to collaborate effectively across teams + Growth mindset - Aptitude and willingness to learn new technologies + Empathy - Kindness and empathy when building software for end users + Pride - Takes pride in engineering excellence and quality craftsmanship + Customer obsession - Obsessed with the end user experience of products + Strong problem-solving skills and attention to detail + Ability to work independently and as part of a balanced, multi-disciplinary team + Self-motivated with a passion for continuous learning and improvement **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

About Sembcorp * Sembcorp is a leading energy and urban solutions provider headquartered in Singapore. Led by its purpose to drive energy transition, Sembcorp delivers sustainable energy solutions and urban developments by leveraging its sector expertise and global track record. Key Responsibilities: * Design, develop, and maintain data pipelines for ingestion, transformation, and storage across multiple environments with tools like Pyspark, Azure fabric or databaricks notebooks * Design and development of real-time streaming data pipelines using IOT and Stream analytics or Apache Kafka * Deploy pipeline artifacts from one environment to another using Azure DevOps and ensure smooth CI/CD processes. * Collaborate with data architects and analysts to implement scalable data solutions. * Monitor and optimize ETL workflows for performance and reliability. * Ensure data quality, security, and compliance across all stages of the data lifecycle. * Support troubleshooting and resolution of data pipeline issues in production environments. * Work closely with cross-functional teams to deliver data for analytics and reporting needs. Qualifications & Experience: * Degree in Computer Science, Data Science or related field * 2 years in Azure Data Engineering, Python, PySpark, or Big Data development and 1 year experience using Azure IOT hubs, Azure stream analytics working with Realtime streaming data Technical Competencies: * Familiarity with Azure Synapse Analytics, Azure batch, * Strong knowledge of SQL, Data Warehousing, Data Marts, and data ingestion using PySpark and Python. * Hands-on experience in developing and maintaining ETL pipelines on cloud platforms (Azure preferred) * Familiarity with Microsoft Fabric, Databricks, Synapse and datalake Additional Skills: * Understanding of DevOps practices for deployment and automation (Azure DevOps preferred). * Strong problem-solving, communication, and interpersonal skills. * Ability to work collaboratively in a team environment. Our Culture at Sembcorp At Sembcorp, our culture is shaped by a strong set of shared behaviours that guide the way we work and uphold our commitment to driving the energy transition. We foster an institution-first mindset, where the success of Sembcorp takes precedence over individual interests. Collaboration is at the heart of what we do, as we work seamlessly across markets, businesses, and functions to achieve our goals together. Accountability is a core principle, ensuring that we take ownership of our commitments and deliver on them with integrity and excellence. These values define who we are and create a workplace where our people can thrive while making a meaningful impact on driving energy transition. Join us in making a real impact

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.

**Job Title:** Data Management Lead (Medical Affairs) - Oncology **About Us:** At Parexel, we are dedicated to advancing clinical research and supporting medical affairs with innovative solutions. We are seeking a dynamic and experienced Data Management Lead to join our team. If you have a passion for clinical research, strong project management skills, and a knack for data management, we want to hear from you! **Who You Are:** **Required:** + BS or MS in Life Sciences, Data/Computer Science, OR equivalent industry experience. + 7+ years experience in pharmaceutical/biotech clinical data management / Biometrics (clinical trial data and/or Real World Data) + Medical affairs experience (Phase IIIB - IV trials experience); Late Phase Oncology + Strong project management experience + Demonstrated collaboration and superb communication skills, both written and oral (proficiency in English required). + Proficient in CDISC data standards, ICH-GCP, and working in regulated environments, with a solid understanding of biological principles and scientific curiosity. + Validated project management skills, capable of managing multiple requests and priorities, with proven leadership in decision-making, negotiation, motivation, and influencing. + Experience with data analytics and visualization tools, an entrepreneurial mindset, self-direction, and the ability to mentor others while learning new techniques. + Experience in leading DM study teams, overseeing trial data activities, and collecting clinical trial and/or Real World Data, with a good understanding of molecule and disease area strategies and the healthcare environment. + Ownership and accountability relative to key accountabilities in the job description. + Ability to travel as required. + Written and oral fluency in English. **Preferred:** + Proficiency in programming languages such as SAS, R, Python, and SQL, with experience in advanced analytics approaches (e.g., machine learning, AI). + Proficient with tools for analyzing large data sources with computationally intensive steps (e.g., SQL, parallelization, Hadoop, Spark) and producing interactive outputs (e.g., Shiny, Tableau). + Experience with SDTM implementation, CDISC standards, standardized technologies (e.g., MedDRA, WHODrug), and reproducible research practices like version control and literate programming. + BSN, RN, RPh, Pharm D, PA, MPH, or other applicable health professional credentials, with contributions to open-source packages, libraries, or functions. **What you will be doing:** **Responsibilities will include:** + Develop risk management strategies and proactively manage timel What ines to ensure successful oversight and delivery of studies and projects. + Engage with stakeholders to understand their needs, influence their understanding of decisions, inform them of key deliverables, and adapt to changing milestones. + Partner with relevant functions for external data vendor selection and management, ensuring standards-compliant data transfer agreements and fit-for-purpose data models. + Advise teams and stakeholders on best practices for data collection, propose innovative solutions, and ensure high-quality, compliant data. + Use surveillance tools to review data at an aggregate level, identifying patterns or anomalies to ensure high-quality results. + Organize and integrate data from various sources, maintaining its value through the application of FAIR principles, and support stakeholders' data insight needs from collection to analysis. **Cross-functional Data Management Leadership:** + Manage and coordinate the integration and utilization of all ancillary systems. + Highlight issues/risks to delivery by understanding interdependencies. Define mitigations and drive resolution with cross-functional stakeholders as part of the Risk Management Plan. + Review and analyze metrics to derive meaningful summaries of study health and trends. + Review Master Services Agreements, Service Level Agreements, and contracts to manage toward sponsor-specific metric targets/Key Performance Indicators. + Attend cross-functional meetings, prepare meeting agendas and minutes, and comply with action and decision logs. **Project Financial and Resource Management:** + Ensure appropriate project-level resourcing of staff and staff assignments. + Regularly review and update Data Management resources to ensure alignment with contracted budgets, project resource forecasts, actuals, and demand. + Determine and resolve the root cause of Data Management-related project variances in a timely manner, including negotiating/raising changes in scope. **Company Initiatives:** + Provide Data Management functional input, considering the impact on Data Management and Parexel as a whole. + Support other functions by providing meaningful feedback on initiatives. + Ensure Parexel-requested information entered into management systems is accurate and regularly updated. **Training:** + Maintain training compliance as per job roles assigned, including on-the-job training. + Deliver project-specific training to internal Data Management teams. + Address training needs based on identified development goals. \#LI-REMOTE EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Expertise and/or relevant experience in the following areas are mandatory: • GIS data modeling o For Geospatial Data Warehousing o Linear Referencing Systems Linear Referencing Methods o Artificial Intelligence tools Machine Learning Deep Learning o Large Language Models Generative Pre-training Transformer Expertise and/or relevant experience in the following areas are desirable but not mandatory: • Feature Manipulation Engine (FME) o Readers and Writers for Extracting, Transforming and Loading (ETL) of data Cross platform data formats • Scripting and Coding for ETL processes

Introduction In this role, you will join IBM Consulting via our world-class Associates Program for university hires. As an Associate Consultant at IBM Consulting, you will have the opportunity to work with a diverse range of clients worldwide. Our clients' technical and business needs are constantly evolving. We're hiring inspired, talented individuals who believe no problem is too big to solve. We focus on your professional development through ongoing learning, mentorship, development of technical skills, and continuous personal growth, all grounded in a culture of coaching and career advancement. If you see yourself as someone who never stops learning and who wants to unleash your potential, the IBM Consulting Associates Program is for you. A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation for success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions that result in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities As an entry level Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: * Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques * Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements * Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors. * Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results. These positions are anticipated to start in 2026. We have positions opened in the Baton Rouge, Louisiana Client Innovation Center. Required education Bachelor's Degree Required technical and professional expertise * Ability to incorporate a variety of statistical and machine learning techniques * Basic understanding of Cloud (AWS,Azure, etc) * Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer * Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. * Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Required work location: * Must be local to your assigned Client Innovation Center location or willing to relocate prior to your start date at your own expense * Average onsite work requirement of 3 days per week * Willingness to travel up to 100% as needed per project assignment requirements. Preferred technical and professional experience * Basic understanding or experience with predictive/prescriptive modeling skills * You thrive on teamwork and have excellent verbal and written communication skills. * Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions * Ability to ask business and industry questions to identify appropriate modeling techniques * Ability to communicate results to technical and non-technical audiences ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page. Job Posting Title: Data Warehouse Developer 1 Position Type: Professional / Unclassified Department: LSUAM FA - ITS - DA - PS - Business Intelligence (Anthony Joseph Alfonso (00012319)) Work Location: 0202 Fred C. Frey Computing Services Building Pay Grade: Professional : Data warehouse design, configuration, and support for mission-critical enterprise data warehouse and reporting. Familiar with and responsible for documenting concepts, practices, and procedures. Design, implement, test, and debug complex queries to extract, calculate, transform, and load data. Design, implement, and test data schemas. Relies on experience and judgment to plan and accomplish goals. Performs a variety of tasks. A certain degree of creativity and latitude is expected. All Information Technology Services employees are expected to demonstrate a commitment to exemplary customer service in all facets of their work. Job Responsibilities: DATA WAREHOUSE DEVELOPMENT: Work with IT personnel, central administrative staff, and end users to conduct data analysis and validation. Design, implement, test, debug complex queries to extract, calculate, transform, and load data to data warehouse. Follow programming design principles and best practices. Comply with software quality assurance standards, business goals, and project timelines in an agile delivery environment. Monitor release/upgrade notifications and validate related warehouse functionality. Document and share changes with colleagues. (35%) DATA AND PROCESS DESIGN: Work with IT data modelers, central administrative staff, and end users to design data warehouse data models, data sets, and data definitions for enterprise business intelligence (EBI) reporting and for use with data visualization technology solutions.(30%) DATA WAREHOUSE ADMINISTRATION / SYSTEM TECHNICAL SUPPORT: Manage daily tickets and cyclical (release/upgrades) administration of data warehouse solutions in collaboration with other IT personnel, campus partners, and the campus community at large. Ensure the overall health of the technology platform. Reduce operational complexity. Design and implement system security. Perform capacity planning and management. Serve as escalation point for production and/or platform issues. Coordinate and communicate system-related events. . (25%) Other duties as assigned. (10%) Minimum Qualifications: Bachelor's degree with 1 year of professional work experience. +LSU values skills, experience, and expertise. Candidates who have relevant experience in key job responsibilities are encouraged to apply- a degree is not required as long as the candidate meets the required years of experience specified in the . Preferred Qualifications: Master's degree in Business, Mathematics, Statistics, Engineering, Science, Management Information Systems, Computer Science, or related field. Experience in the following: * Data warehouse administration. * ETL for business reporting needs. * Data warehouse design, configuration, and support. * Understanding of Relational databases. * Understanding of SQL language. Examples of Work: * Assist with data warehouse administration tasks. * Translates business questions and requirements into ETL (extraction, transformation, and load) and/or data warehouse processes, defining and capturing metadata and rules associated with ETL and/or data warehouse processes. * Researches and understands source and target data structures, ETL and/or data warehouse processes, and products. * Maps source system data to target system data model. * Develops ETL and/or data warehouse processes using organizational ETL and/or data warehouse tools. * Complies with BI standard operating procedures and institutional data management policies. * Demonstrates effective knowledge of ETL and/or data warehouse tool architectures, functions, features, and programming languages. * Provides accurate results that satisfy functional requirements. * Adheres to organization's design policies including maintaining current documentation. * Provides troubleshooting for ETL and/or data warehouse artifacts. * Collaborates with subject matter experts (SMEs), functional owners, and other ITS staff. Additional Job Description: Special Instructions: A copy of your transcript(s) may be attached to your application (if available). However, original transcripts are required prior to hire. Please provide three professional references including name, title, phone number and e-mail address. An offer of employment is contingent on a satisfactory pre-employment background check. For questions or concerns regarding the status of your application or salary ranges, please contact Mary Bordelon at *****************. Posting Date: November 20, 2025 Closing Date (Open Until Filled if No Date Specified): March 20, 2026 Additional Position Information: Background Check - An offer of employment is contingent on a satisfactory pre-employment background check. Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more! Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, next Source Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement. Essential Position (Y/N): LSU is an Equal Opportunity Employer. All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university's ability to employ individuals in certain positions. HCM Contact Information: For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at ************ or email **********. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? As a global leader in advanced mobility solutions, our outstanding team of legal professionals helps us navigate the continually changing legal and regulatory landscape. In our Office of General Counsel, you'll be part of an organization that collaborates with outside counsel to operate as a global team and deliver world-class legal, tax and audit services to client groups throughout the company. **In this position...** You will be an integral member of a team of legal and other privacy professionals dedicated to helping Ford deliver great products and services, drive compliance and privacy by design, and champion customer trust. **What you'll do...** + Provide comprehensive legal counsel on a wide range of cutting-edge privacy, AI and data protection matters, ensuring compliance with global laws and regulations. + Attend client meetings to spot potential data and privacy issues early and proactively develop winning strategies to address potential risks. + Work collaboratively with legal, policy, and operational teams to create and implement effective risk mitigation approaches. + Lead compliance efforts in collaboration with a global team of privacy professionals to support worldwide projects and enterprise solutions. + Monitor regulatory changes and update internal standards, frameworks, and other requirements as needed. **You'll have...** + JD degree, and active member of a U.S. state bar association, in good standing. + Subject-matter expertise in global data and privacy laws in major jurisdictions, including GDPR, CCPA and other US state privacy laws, FTC Act, GLB Act, CAN-SPAM, EU AI Act, EU Data Act, and PIPEDA. + Top-notch oral and written communication skills, including an ability to communicate complex legal requirements into actionable and easy-to-understand guidance and to adapt messaging for diverse audiences. + Deep understanding of consent strategies, particularly in an automotive or Internet-of-Things (IoT) setting. + 5+ years at a major law firm or large corporation providing data and privacy legal advice, or supporting data and privacy compliance strategy and implementation. + Availability for meetings during Dearborn, MI working hours. + Ability to travel as needed for in-person meetings (approx.. 1-2 times per year). **Even better, you may have...** + Passion for privacy and building privacy into the design of everyday products + Experience with privacy, cyber and/or AI impact assessments, with a strong understanding of data governance, compliance controls, and risk mitigation + Ability to adapt and stay current with the evolving data and privacy legal requirements + Ability to manage and prioritize multiple, complex projects under product development deadlines, with flexibility as to the types of projects assigned + Solid business acumen and the ability to offer pragmatic advice to business, product, design, and engineering teams + Ability to interact comfortably with executives and senior managers + Ability to work well independently and in collaboration, including with cross-functional, global teams + Technical fluency and experience with emerging technologies + OEM experience a plus + IAPP certifications preferred. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including: - Immediate medical, dental, vision and prescription drug coverage - Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more - Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more - Vehicle discount program for employees and family members and management leases - Tuition assistance - Established and active employee resource groups - Paid time off for individual and team community service - A generous schedule of paid holidays, including the week between Christmas and New Year's Day - Paid time off and the option to purchase additional vacation time. This position is a leadership level 5. For more information on salary and benefits, click here: New Hire Benefits Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. \#LI-Remote #LI-JB5 **Requisition ID** : 55944

Your Future. Secured. ISC2 is a force for good. As the world's leading nonprofit member organization for cybersecurity professionals, our core values - Integrity, Advocacy, Commitment, Inclusion, and Excellence - drive everything we do in support of our vision of a safe and secure cyber world. Our globally recognized, award-winning portfolio of certifications provide an independent and globally recognized endorsement of cybersecurity knowledge, skills and experience for all career levels. Our charitable arm, the Center for Cyber Safety and Education, enables ISC2 and our members to serve the public by educating the most vulnerable about cyber risks and empowering access to enter and thrive in the cyber profession. Learn more at ISC2 online and connect with us on Twitter, Facebook and LinkedIn. When you join ISC2, you'll demonstrate your commitment to an inclusive and equitable environment. Your support of the unique perspectives and experiences shared by our global cybersecurity workforce and profession will be recognized. We invite you to take an active role in helping us create a true sense of belonging across our organization - an environment of authenticity, trust, empowerment and connectedness that empowers all of our successes. Learn more. **Position Summary** The Senior Data Architect is the enterprise's authoritative leader for data architecture, governance, and data activation. With a data strategy and governance framework now established, this role is accountable for turning strategy into execution-operationalizing governance, maturing data practices, and advancing the data lake into a governed, insight-driven, activation-ready platform. This leader oversees the Data team (DBA and Data Engineer) and will define the next phase of the organization's data ecosystem-powering enterprise analytics, CDP activation, personalization, segmentation, AI/LLM enablement, marketing automation, reporting, and secure data use across the customer/member lifecycle. Success means shifting data from a passive asset to a scalable, trusted, revenue- and experience-driving capability. ****This position is not available to residents of California.**** **Responsibilities** **Data Governance & Policy Ownership** + Own, operationalize, and enforce the enterprise-wide data governance framework, standards, and stewardship model. + Define policies for classification, access, retention, lineage, and lifecycle management. + Lead or co-lead governance forums to drive adoption and accountability. + Ensure compliance with GDPR, CCPA/CPRA, and privacy/security standards. **Data Architecture Strategy & Execution** + Define and maintain the enterprise data architecture roadmap across warehouse, lake, CDP, Fabric, and analytical platforms. + Advance the data lake into a governed, curated, high-quality platform optimized for analytics and activation. + Architect conceptual, logical, and physical data models aligned to business needs. + Guide storage and architecture decisions (relational, dimensional, NoSQL, event-driven, lakehouse, etc.). **Data Enablement for Analytics, CDP & Personalization** + Partner with CX, Marketing, Product, and Technology teams to enable: + Segmentation & audience modeling + Personalization & progression marketing + Marketing automation & orchestration + CDP activation & identity resolution + Ensure data quality, availability, lineage, and readiness for reporting and advanced analytics. **Enterprise Collaboration & Governance Influence** + Serve as the primary architectural authority for data across CRM, LMS, ERP, ecommerce, CMS, CDP, BI, and marketing technologies. + Collaborate closely with Security, Architecture, Applications, and Infrastructure teams to ensure secure and resilient data use. + Represent data architecture in ARB/design authority processes. **Advanced Capabilities, LLMs & Self-Service Enablement** + Enable AI/ML and LLM use cases by ensuring governed, high-quality data pipelines and model-ready datasets. + Partner with data science and product teams to support generative AI, recommendation engines, and predictive analytics. + Lead the design and enablement of self-service analytics and data applications, empowering business users to securely access, explore, and activate data. + Evaluate and introduce emerging data architecture patterns, automation, and governance tooling (e.g., Fabric, lakehouse, semantic models). Perform other miscellaneous duties, as needed. **Behavioral Competencies** + High integrity in handling confidential data and regulatory requirements. + Demonstrated passion for data and data-driven business models. **Management Responsibility** + Lead and mentor the DBA and Data Engineer to establish modern engineering practices. + Oversee ingestion, transformation, pipelines, ETL/ELT, monitoring, and optimization. + Manage lifecycle: provisioning, upgrade, archival, and decommissioning of data systems. **Qualifications** + Proven ability to operationalize data strategies, not just design them. + Certifications in cloud, data architecture, or governance frameworks are an asset. + Strong SQL expertise; familiarity with NoSQL and modern data architectures. + Familiarity with LLM data requirements: grounding, retrieval, vectorization, data governance for AI/ML, and model readiness pipelines. + Strong business acumen-able to translate strategy into data capabilities. + Excellent stakeholder influence and communication skills. **Education and Work Experience** + Bachelor's degree in Computer Science, Data Management, IT, or related field. Will consider candidates with a high school diploma and 10 years of experience in data architecture; 7 years in a lead or enterprise data architect role. + 7+ years in data architecture; 5+ years in a lead or enterprise data architect role. + Experience governing enterprise data models, MDM, metadata, and stewardship programs. + Hands-on experience designing and governing data lakes, warehouses, and lakehouse architectures. + Leadership or mentorship experience with data teams (engineers, DBAs, analysts). + Experience with cloud platforms (Azure, AWS, or GCP). + Experience with Microsoft Fabric, Power BI, or lakehouse architecture highly desirable. + Programming experience (Python, Java, C#, etc.). + Experience enabling self-service analytics platforms or applications (e.g., semantic models, governed datasets, business-friendly data access layers). + Experience integrating data across CRM, ERP, LMS, ecommerce, CDP, or marketing ecosystems. + Exposure to personalization, segmentation, progression marketing, or data activation workflows. + Experience supporting AI/ML or LLM-driven solutions preferred. + Experience with GDPR/CCPA and privacy-by-design. + Experience in membership, association, or subscription-driven businesses, preferred. + Experience with ecommerce data and digital experience analytics, preferred. **Physical and Mental Demands** + Ability to travel up to 10% of time, may also include overnight and international travel. + Work normal business hours and extended hours when necessary. + Remain in a stationary position, often standing or sitting, for prolonged periods. + Regular use of office equipment such as a computer/laptop and monitor computer screens. + Dexterity of hands and fingers to operate a computer keyboard, mouse, and other computer components. **Equal Employment Opportunity Statement** All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic as protected by applicable law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. **Job Locations** _US-Remote_ **Posted Date** _6 days ago_ _(12/9/2025 4:29 PM)_ **_Job ID_** _2025-2282_ **_\# of Openings_** _1_ **_Category_** _Information Technology_