Data engineer jobs in Kansas

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

The Big Data Service team under Oracle Analytics has a charter is to offer a managed, cloud-native Big Data Service focused on large-scale data processing and analytics on unstructured data stored in data lakes, and management of the date in data lakes. The service work scope encompasses not just good integration with OCI's native infrastructure (security, cloud, storage, etc.) but also deep integration with other relevant cloud native services in OCI (like Oracle Kubernetes, Data Catalog, ADW, etc.). It includes doing cloud native ways of doing service level patching & upgrades and maintaining high availability of the service in the face of random failures & planned downtimes in the underlying infrastructure (e.g., for things like patching the Linux kernels to take care of a security vulnerability). Developing systems for monitoring and getting telemetry into the service's runtime characteristics and being able to take actions on the telemetry data is a part of the charter. ************************************************* We are interested in senior engineers with expertise and passion for solving difficult problems in distributed systems and highly available services. At Oracle, you can help, shape, design, and build innovative new systems from the ground up. These are exciting times in our space - we are growing fast, still at an early stage, and working on ambitious new initiatives. Engineers at any level can have significant technical and business impact. **Responsibilities** As Senior Big Data Platform Engineer, your responsibilities include the following (but not limited to) + Working on distributed data-intensive systems, often as part of open-source communities. + Taking ownership of critical parts of the cloud service, including shaping its direction. + Code, integrate, and operationalize open and closed source data ecosystem components for Oracle cloud service offerings. + Working with, and supporting customers/users of the Big Data Service + Design, develop, troubleshoot, and debug software programs for Big Data Service and related components. + Optionally: Presenting work at conferences, meetups, or via articles. **Qualifications** + BS/MS in Computer Science or equivalent experience + Proven experience implementing, and operating large scale cloud services + Experience with open-source software in the Big Data ecosystem + Experience at an organization with a strong operational/dev-ops culture + Solid understanding of networking concepts, security principles, and best practices. + Strong analysis and troubleshooting skills and experience + Strong proficiency in Java and related technologies. Python experience is also desired. + Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems + Familiarity with DevOps automation and tools for continuous integration, deployment, and monitoring (e.g., Terraform, Jenkins, GitLab CI/CD, Prometheus). + Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment. + Strong communication skills, with the ability to work effectively in cross-functional teams. 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: $79,200 to $178,100 per annum. May be eligible for bonus and equity. 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 - IC3 **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.

Description The Data Engineer role within the Cloud Payments Reporting team is responsible for developing, deploying, and maintaining data solutions. Primary responsibilities will include querying databases, maintaining data transformation pipelines through ETL tools and systems into data warehouses, provide and support data visualizations, dashboards, ad hoc and customer deliverable reports. Responsibilities Provide primary support for existing databases, automated jobs, and reports, including monitoring notifications, performing root cause analysis, communicating findings, and resolving issues. Subject Matter Expert for payments reports, databases, and processes. Ensure data and report integrity and accuracy through thorough testing and validation. Build analytical tools to utilize the data, providing actionable insight into key business performance metrics including operational efficiency. Implement, support, and optimize ETL pipelines, data aggregation processes, and reports using various tools and technologies. Collaborate with operational leaders and teams to understand reporting and data usage across the business and provide efficient solutions. Participate in recurring meetings with working groups and management teams to discuss operational improvements. Work with stakeholders including data, design, product, and executive teams to support their data infrastructure needs while assisting with data-related technical issues. Handle tasks on your own, adjust to new deadlines, and adapt to changing priorities. Design, develop and implement special projects, based on business needs. Perform other job-related duties and responsibilities as assigned. Qualifications Five or more years of experience with Oracle, MySQL, Power BI / QuickSight, and Excel. Thorough knowledge of SQL, relational databases and data modeling principles. Proficiency in programming languages such as PL/SQL, Bash, PowerShell and Python. Exceptional problem-solving, analytical, and critical thinking skills. Excellent interpersonal and communication skills, with the ability to consult with stakeholders to facilitate requirements gathering, troubleshooting, and solution validation. Detail-oriented with the ability to understand the bigger picture. Ability to communicate complex quantitative analysis clearly. Strong organizational skills, including multi-tasking and teamwork. Self-motivated, task oriented and an aptitude for complex problem solving. Experience with AWS, Jenkins and SnapLogic is a plus. Data streaming, API calls (SOAP and REST), database replication and real-time processing is a plus. Experience with Atlassian JIRA and Confluence is a plus.

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

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

Job Number #169253 - Topeka, Kansas, United States Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Are you passionate about pets and data? Do you want to use your skills to make a tangible difference in the lives of cats and dogs? Hill's Pet Nutrition is looking for a talented and driven Data Scientist to join our Pet Nutrition Center and help us lead the way in pet health and wellness. This is your chance to apply your expertise in a rewarding environment where you'll contribute to groundbreaking product innovation and development. Role and Responsibilities As a Data Scientist, you will play a crucial role in our mission to develop data-driven approaches that accelerate product innovation and enhance our understanding of pet health. You'll partner with stakeholders across our R&D and other Hill's/CP groups, using your data mining and analytical skills to deliver meaningful insights that inform our nutritional impact strategies. Core Responsibilities Partnering with stakeholders to execute data mining campaigns and generate insights and hypotheses about the nutritional impact on pet health. Developing, validating, and implementing programmatic approaches for data visualization, descriptive statistical analysis, and predictive modeling. Creating analytical/ML approaches to transform image, mobility, and other health-related observations into quantifiable metrics. Designing programmatic strategies to identify and solve complex data analytic problems. Writing, refining, and managing Python scripts for data analytics. Working with individuals throughout R&D to identify key data sources, assess their quality, and devise strategies for their utilization. Building pipelines for data manipulation, visualization, and descriptive/predictive modeling using current databases. Designing data flows to extract data from organizational architecture and ETL (Extract, Transform, Load) it into cloud-based systems. Presenting your work to R&D partners and making actionable recommendations for implementation. Building advanced data visualizations, including dashboards and custom JavaScript implementations. Sharing knowledge with the immediate data science team through regular presentations on progress, challenges, and new advancements. Assisting in training R&D scientists on basic Python and analytical skills. Staying current on new developments in data science by attending conferences, webinars, and following relevant sources. Developing, fine-tuning, and deploying deep learning models for complex generative tasks, with a focus on multimodal data. Designing and implementing robust data pipelines for pre-training and instruction tuning of large-scale neural networks. Education and Experience Required Qualifications A Master's Degree in Mathematics, Statistics, Computer Science, or Data Science with a minimum of 3 years of data analytics/programming experience, OR a PhD in a related discipline with a minimum of 1 year of data analytics/programming experience. Experience with biological, health, or nutrition data is required. Proficiency with statistical Computer Languages: Proficiency with Python, Julia, R, or Java. Preferred Qualifications An active GitHub account with examples of past work. Active contribution to open-source data science projects, such as Kaggle competitions. SQL Proficiency: Experience with SQL implementations such as PostgreSQL, MySQL, Oracle, or MongoDB. Statistical Concepts: Strong understanding of statistical concepts, including descriptive analysis, experimental design, Bayesian statistics, sub-setting, and regression. Statistical and Data Mining Techniques: Expertise in techniques such as generalized linear models/regression, random forest, boosting, trees, text mining, social network analysis, and dimensionality reduction algorithms. Compensation and Benefits Salary Range $113,000.00 - $127,000.00 USD Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles. Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies. Our Commitment to Inclusion Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. For additional Colgate terms and conditions, please click here. #LI-Hybrid

Years of Experience: a minimum of 3 years of experience in data privacy and protection. Project Duration: 2 years. Working Arrangement: on-site. Language Requirements: Fluency in Arabic & English (written and spoken). Nationalities: Saudi nationals. We are seeking a Data Privacy Consultant (Saudi National) for a 2-year engagement to support the implementation and monitoring of data privacy and protection practices across the organization. The ideal candidate will have a minimum of 3 years of experience in data privacy and protection, with a solid understanding of the Saudi Personal Data Protection Law (PDPL) and international privacy frameworks. This role will play a key part in ensuring regulatory alignment and fostering a culture of privacy by design. Key Qualifications Saudi National (mandatory). Minimum 3 years of hands-on experience in data privacy and protection. Proven experience in implementing privacy controls, managing compliance programs, and conducting Data Protection Impact Assessments (DPIAs). Strong understanding of the Saudi Personal Data Protection Law (PDPL). Preferred Qualifications Professional certifications such as: CIPP (Certified Information Privacy Professional) CIPM (Certified Information Privacy Manager) Or other relevant privacy or data protection credentials. Other Qualifications Strong attention to detail and ability to interpret legal/regulatory language. Analytical mindset with problem-solving and process improvement capabilities. Ability to work independently and collaboratively within cross-functional teams. Key Responsibilities 1. Privacy Program Support Assist in implementing and maintaining the organization's data privacy and protection program. Support the development and enforcement of privacy policies, procedures, and standards. 2. Compliance Monitoring & DPIAs Conduct or support Data Protection Impact Assessments (DPIAs) and Transfer Impact Assessments (TIAs). Monitor ongoing compliance with PDPL and internal data privacy requirements. 3. Stakeholder Engagement Collaborate with legal, IT, HR, and business units to ensure privacy requirements are embedded in processes and systems. Support internal awareness initiatives and training on privacy best practices. 4. Risk Management & Incident Support Identify privacy risks and contribute to mitigation planning. Assist in managing and documenting data breaches or incidents in coordination with internal teams. 5. Reporting & Documentation Maintain accurate records of processing activities, consent, and access requests. Prepare reports and updates for internal privacy governance committees and external regulators as needed. This role offers an exciting opportunity to contribute to shaping a strong privacy culture and ensure regulatory readiness in alignment with the Saudi PDPL. If you're a passionate Saudi professional looking to grow in the field of data privacy, we encourage you to apply. 🔐 If you would like to know more about the Global Consulting Bootcamp Visit: *****************************************************

**This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.** **What You'll Do** + Communicates and maintains Master Data, Metadata, Data Management Repositories, Logical Data Models, Data Standards + Create and maintain optimal data pipeline architecture + You will assemble large, complex data sets that meet functional / non-functional business requirements + You will identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. + Build industrialized analytic datasets and delivery mechanisms that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency and other key business performance metrics + Work with business partners on data-related technical issues and develop requirements to support their data infrastructure needs + Create highly consistent and accurate analytic datasets suitable for business intelligence and data scientist team members **Your Skills & Abilities (Required Qualifications)** + Bachelor's degree in business administration, marketing, communications, information systems or related field + 7 or more years with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. + At least 3 years of hands on experience with Big Data Tools: Hadoop, Spark, Kafka, etc. + You have mastery with databases - Advanced SQL and NoSQL databases, including Postgres and Cassandra + Data Wrangling and Preparation: Alteryx, Trifacta, SAS, Datameer + Stream-processing systems: Storm, Spark-Streaming, etc. + Ability to tackle problems quickly and completely + Ability to identify tasks which require automation and automate them + A demonstrable understanding of networking/distributed computing environment concepts + Ability to multi-task and stay organized in a dynamic work environment **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. + AWS cloud services: EC2, EMR, RDS, Redshift This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. **Compensation:** + The expected base compensation for this role is: $125,000 - $205,100. Actual base compensation within the identified range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Data Engineers build and maintain data systems in support of data analytics and data science activities\. The Data Engineer will implement methods to improve data reliability, data quality, and ensure success in data\-driven initiatives\. This position within Integrated Supply Chain Analytics is responsible for identifying, developing, and executing solutions that support reliable and efficient extraction of data from source systems and loading of that data into analytic platforms\. The Data Engineer will help administer data platforms and consult with data analysts and data scientists on process optimization and data quality improvements\. At Textron Aviation, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross functional support\. You will have the opportunity to work closely with your peers throughout the organization toward a vision of data driven strategy\. **Qualifications** JOB RESPONSIBILITIES: * Gain core business understanding of Textron Aviation and aircraft design, operation, and support * Query, clean, transform, and stage data \(ETL/ELT\) across on\-prem and cloud environments * Support data analytics and data science activities by implementing, maintaining, and optimizing production ready data pipelines * Install and update software to ensure data platform continuity * Administer a CI/CD compliant code repository during development and update activities * Research and help implement new technologies to support analytics function * Interface with other data professionals throughout the organization to embrace cross functional growth in analytics capabilities * Work to improve data quality by assisting data governance efforts in creating and maintaining data quality standards * Plan and execute projects according to established milestones and schedules * Train users in data & analytic tools and processes per best practices and compliance standards * Contribute to the resolution of service tickets pertaining to data infrastructure * Serve as an internal consultant to business leaders by advising on system capabilities EDUCATION/ EXPERIENCE: * Bachelor's degree in Computer Science, Software Engineering, Data Science/Analytics, MIS, or other related technical field * Minimum 2 years relevant technical experience required, focused on data collection, utilization, and analysis\. * Aviation experience preferred Textron Aviation Inc\. must comply with U\.S export control laws and regulations\. If a position requires access to sensitive information controlled under these laws and regulations, a successful applicant must be eligible to meet any requirements to access controlled information\. **EEO Statement** Textron is committed to providing Equal Opportunity in Employment, to all applicants and employees regardless of race, color, religion, age, national origin, military status, veteran status, disability, sex \(including pregnancy and sexual orientation\), genetic information or any other characteristic protected by law\. **Primary Location:** US\-Kansas\-Wichita **Recruiting Company:** Textron Aviation **Schedule:** Full\-time **Job Level:** Individual Contributor **Shift:** First Shift **Req ID:** 338321

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

The Senior Data Engineer will be responsible for building and maintaining the data infrastructure that powers the organization's data-driven decision-making. Designs, develops, and maintains data pipelines, data warehouses, and other data-related infrastructure. This role expects to work closely with data scientists, analysts, and other stakeholders to understand their data needs and translate them into robust and scalable solutions. Key Responsibilities: Build, maintain, and optimize data pipelines, including ELT processes, data models, reports, and dashboards to drive business insights. Develop and implement data solutions for enterprise data warehouses and business intelligence (BI) initiatives. Continuously monitor and optimize data pipelines for performance, reliability, and cost-effectiveness. This includes identifying bottlenecks, tuning queries, and scaling infrastructure as needed. Automate data ingestion, processing, and validation tasks to ensure data quality and consistency. Implement data governance policies and procedures to ensure data quality, consistency, and compliance with relevant regulations. Contribute to the development of the organization's overall data strategy. Conduct code reviews and contribute to the establishment of coding standards and best practices. Required Qualifications: Bachelor's degree in a relevant field or equivalent professional experience. 4-6 years of hands-on experience in data engineering. Strong expertise in SQL and NoSQL databases, including PostgreSQL, DynamoDB, and MongoDB. Experience working with cloud platforms such as GCP, Azure, or AWS and their associated data services. Practical knowledge of data warehouses like BigQuery, Snowflake, and Redshift. Programming skills in Python or JavaScript. Proficiency with BI tools such as Sisense, Power BI, or Tableau. Preferred Qualifications: Direct experience with Google Cloud Platform (GCP). Knowledge of CI/CD pipelines, including tools like Docker and Terraform. Background in the healthcare industry. Familiarity with modern data integration tools such as DBT, Matillion, and Airbyte. Compensation: $125,000.00 per year Who We Are CARE ITS is a certified Woman-owned and operated minority company (certified as WMBE). At CARE ITS, we are the World Class IT Professionals, helping clients achieve their goals. Care ITS was established in 2010. Since then we have successfully executed several projects with our expert team of professionals with more than 20 years of experience each. We are globally operated with our Head Quarters in Plainsboro, NJ, with focused specialization in Salesforce, Guidewire and AWS. We provide expert solutions to our customers in various business domains.

Kforce has a client in Lenexa, KS that is looking for a Data Engineer for a six-month contract to hire opportunity. Responsibilities: * Design and maintain the data governance architecture within Microsoft Fabric and connected platforms, ensuring consistency in access management, metadata, and data lifecycle controls. * Translate governance policies into technical configurations and automation workflows, enabling seamless enforcement of standards * Define and evolve data ownership and stewardship models, including roles, responsibilities, and escalation paths * Develop governance patterns and reusable templates that can be applied across Fabric workspaces, domains, and pipelines * Architect and implement role-based access control (RBAC), object-level security, and data masking frameworks within Fabric environments * Ensure that data usage complies with organizational security standards, privacy laws, and regulatory frameworks such as GDPR, CCPA, or HIPAA. * Partner with Information Security to align Fabric's governance model with enterprise identity management, encryption, and auditing practices * Lead periodic data access audits, and implement automated controls for least-privilege access and data protection * Oversee enterprise-level metadata management and lineage tracking to ensure visibility into data sources, transformations, and usage across Fabric and integrated systems * Define and maintain data quality standards and validation frameworks tied to governance policies * Build and maintain automation scripts, APIs, or CI/CD pipelines to deploy and manage governance configurations at scale * Integrate Microsoft Fabric with enterprise data governance, quality, and cataloging platforms to support a unified view of governed data assets * Develop dashboards and reporting mechanisms to monitor governance KPIs, including access compliance, lineage completeness, and policy coverage* Deep hands-on experience with Microsoft Fabric, including OneLake, Data Warehouse, Lakehouse, Pipelines, and Workspaces * Proficient in designing and implementing RBAC, security models, and compliance controls across data platforms * Strong understanding of metadata management, data lineage, and data classification concepts * Experience with automation scripting (PowerShell, Python, or SQL) for deploying governance and security configurations * Familiarity with modern data architectures (lakehouse, data mesh, semantic layer) and their governance implications * Working knowledge of data quality frameworks, cataloging tools, and policy enforcement mechanisms * Practical understanding of the DAMA-DMBOK framework or similar enterprise governance methodologies * Experience operationalizing governance policies across distributed data environments * Understanding of regulatory compliance requirements impacting data security, retention, and privacy * Proven ability to translate governance policies into technical and operational controls. Preferred: * Bachelor's degree in information systems, Computer Science, Data Analytics, or related field (Master's preferred) * 7+ years of experience in data engineering, governance, or data platform administration * Demonstrated success leading or influencing enterprise data governance initiatives * Experience in regulated industries (construction, healthcare, finance, or manufacturing) * Skilled at balancing control, scalability, and usability in governance design * Continuous learner passionate about advancing Microsoft Fabric's governance capabilities and the broader data management discipline

More than 35 years ago, SelectQuote was founded on one core promise: to help our customers protect the people they value most. We pioneered the way consumers shopped for term life insurance, and now, we also help people find home insurance, auto insurance, senior health insurance and more. Our quick and easy process saves consumers both time and money, and today, more than 2 million families trust us to help them with their insurance needs. But what truly sets us apart is our people, and the opportunities to grow your career with SelectQuote are unmatched. About the Role The Fintech Data Engineer III role at SelectQuote is responsible for the design development and maintenance of intricate reporting processes within a SQL Server environment specifically catering to the financial and accounting teams' needs. This position involves translating business requirements into technical specifications implementing data snapshot strategies and data lockdown procedures and performing in-depth auditing and validation of large financial datasets using SQL and Excel. The Fintech Data Engineer III will also maintain and improve existing ETL solutions collaborate to consolidate the data landscape and mentor less experienced team members. The ideal candidate possesses strong SQL Server expertise a solid understanding of data warehousing and ETL processes excellent analytical and problem-solving skills and the ability to communicate complex technical concepts effectively. Supervisory Responsibilities: This position has no direct supervisory responsibilities. Essential Duties and Responsibilities: * Proven expertise in designing building and maintaining intricate reporting processes within a SQL Server environment. * Ability to translate business reporting requirements from finance and accounting teams into technical specifications and working solutions. * Experience in designing and implementing data snapshot strategies to capture point-in-time financial data for reporting and auditing. Knowledge of data lockdown procedures to ensure data integrity and prevent unauthorized modifications during critical closing periods. * Demonstrable experience in auditing and validating large complex financial datasets using SQL for data extraction manipulation and comparison. Proficiency in utilizing Microsoft Excel for advanced data analysis reconciliation and presentation of audit findings. Ability to identify data anomalies discrepancies and inconsistencies and implement corrective actions * Maintain existing ETL solutions while looking for opportunities to improve them * Collaborate with other team members to consolidate the data landscape to reduce the development time and increase consistency among ETL solutions * Train and coach less experienced staff members in best practices Skills/Abilities: * Excellent analytical and problem-solving abilities. Strong attention to detail and commitment to data accuracy. * Effective communication skills with the ability to explain complex technical concepts to non-technical stakeholders in finance and accounting. * Ability to work independently and as part of a collaborative team. * Advanced proficiency in SQL Server (including T-SQL Stored Procedures Views Functions). Experience with other database technologies (e.g. PostgreSQL Oracle SSAS) is a plus. * Strong understanding of data warehousing concepts ETL (Extract Transform Load) processes and data modeling techniques. * Comfortable working with source control (bitbucket git GitHub) * Experience working in an agile environment. * Objectivity and openness to others' views providing solutions and creative input * Self-motivated and excited to work with different technologies. * Understanding of ETL concepts and ability to apply those concepts to multiple technologies Education and Experience: * Bachelor's/Master's degree in Engineering Computer Science (or equivalent experience) * 6+ years of experience working within Data systems or equivalent training * 2+ years working with Financial/Accounting data/systems * 4+ Years of strong experience troubleshooting stored procedures and other TSQL code * 2+ years of Experience with AirFlow or equivalent training * 2+ years of experience in Python coding using advanced modules Pandas Numpy and other libraries * Microsoft SQL Server 2012 or later * Microsoft SQL Server performance tuning Physical Requirements: * Work is performed indoors with potential for exposure to safety and health hazards related to office work. Could periodically travel to other office and operational sites. The noise level in the work environment is usually moderate. * Prolonged periods of sitting at a desk and working on a computer. SelectQuote Core Values: Service: We create positive customer experiences. Entrepreneurship: We create innovate & take risks. Leadership: We build & invest in high-performing teams. Empowerment: We embrace a changing environment. Courage: We challenge the status quo & drive continuous improvement. Teamwork: We help support & celebrate each other. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required. Responsibilities More than 35 years ago, SelectQuote was founded on one core promise: to help our customers protect the people they value most. We pioneered the way consumers shopped for term life insurance, and now, we also help people find home insurance, auto insurance, senior health insurance and more. Our quick and easy process saves consumers both time and money, and today, more than 2 million families trust us to help them with their insurance needs. But what truly sets us apart is our people, and the opportunities to grow your career with SelectQuote are unmatched. Qualifications The Fintech Data Engineer III role at SelectQuote is responsible for the design development and maintenance of intricate reporting processes within a SQL Server environment specifically catering to the financial and accounting teams' needs. This position involves translating business requirements into technical specifications implementing data snapshot strategies and data lockdown procedures and performing in-depth auditing and validation of large financial datasets using SQL and Excel. The Fintech Data Engineer III will also maintain and improve existing ETL solutions collaborate to consolidate the data landscape and mentor less experienced team members. The ideal candidate possesses strong SQL Server expertise a solid understanding of data warehousing and ETL processes excellent analytical and problem-solving skills and the ability to communicate complex technical concepts effectively. Supervisory Responsibilities: This position has no direct supervisory responsibilities. Essential Duties and Responsibilities: * Proven expertise in designing building and maintaining intricate reporting processes within a SQL Server environment. * Ability to translate business reporting requirements from finance and accounting teams into technical specifications and working solutions. * Experience in designing and implementing data snapshot strategies to capture point-in-time financial data for reporting and auditing. Knowledge of data lockdown procedures to ensure data integrity and prevent unauthorized modifications during critical closing periods. * Demonstrable experience in auditing and validating large complex financial datasets using SQL for data extraction manipulation and comparison. Proficiency in utilizing Microsoft Excel for advanced data analysis reconciliation and presentation of audit findings. Ability to identify data anomalies discrepancies and inconsistencies and implement corrective actions * Maintain existing ETL solutions while looking for opportunities to improve them * Collaborate with other team members to consolidate the data landscape to reduce the development time and increase consistency among ETL solutions * Train and coach less experienced staff members in best practices Skills/Abilities: * Excellent analytical and problem-solving abilities. Strong attention to detail and commitment to data accuracy. * Effective communication skills with the ability to explain complex technical concepts to non-technical stakeholders in finance and accounting. * Ability to work independently and as part of a collaborative team. * Advanced proficiency in SQL Server (including T-SQL Stored Procedures Views Functions). Experience with other database technologies (e.g. PostgreSQL Oracle SSAS) is a plus. * Strong understanding of data warehousing concepts ETL (Extract Transform Load) processes and data modeling techniques. * Comfortable working with source control (bitbucket git GitHub) * Experience working in an agile environment. * Objectivity and openness to others' views providing solutions and creative input * Self-motivated and excited to work with different technologies. * Understanding of ETL concepts and ability to apply those concepts to multiple technologies Education and Experience: * Bachelor's/Master's degree in Engineering Computer Science (or equivalent experience) * 6+ years of experience working within Data systems or equivalent training * 2+ years working with Financial/Accounting data/systems * 4+ Years of strong experience troubleshooting stored procedures and other TSQL code * 2+ years of Experience with AirFlow or equivalent training * 2+ years of experience in Python coding using advanced modules Pandas Numpy and other libraries * Microsoft SQL Server 2012 or later * Microsoft SQL Server performance tuning Physical Requirements: * Work is performed indoors with potential for exposure to safety and health hazards related to office work. Could periodically travel to other office and operational sites. The noise level in the work environment is usually moderate. * Prolonged periods of sitting at a desk and working on a computer. SelectQuote Core Values: Service: We create positive customer experiences. Entrepreneurship: We create innovate & take risks. Leadership: We build & invest in high-performing teams. Empowerment: We embrace a changing environment. Courage: We challenge the status quo & drive continuous improvement. Teamwork: We help support & celebrate each other. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required.

The data analytics developer will support both internal and external clients including large industrial facilities such as refineries, chemical plants, and oil & gas facilities. The primary responsibilities are development of data assets in Microsoft Fabric and building reports / dashboards to facilitate client/management data analysis. Internal development initiatives are also planned to incorporate operational data into Microsoft Fabric and support our data-centric AI initiatives. This role may include direct client engagement and a portion of time will be billable. ESSENTIAL FUNCTIONS AND BASIC DUTIES Perform Environmental customer support activities including: · Ensure timely delivery of Daily/Weekly/Monthly Reports to Ops Managers and Site Supervisors· Engineer production-quality data solutions to streamline and make repeatable applications focused on LDAR inspection activities· Collaborate with PROtect management and client to understand and document reporting business requirements· Perform ad hoc data analysis to support PROtect management and client using tools such as Python and Excel Perform activities in support of company-wide data initiatives: · Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions. · Build data movement and transformations within Microsoft Fabric to populate data structures · Build semantic data models including DAX calculations within Fabric/Power BI · Design and build Power BI reports (as needed) · Create requirement and process documentation · Perform quality testing Requirements QUALIFICATIONS Education/Certification: BS engineering, business or computer science, mathematics, statistics Required knowledge and experience: Operational or Industrial experience preferred Skills/Abilities: Familiarity with statistical modeling Familiarity with using AI automation within development process Public Speaking skills for presentations to all levels of personnel Leadership and communication skills Skill to empathize with customers and employees (good listening skills) Discipline and Organization Ability to incorporate management input to team in an effective manner Ability to stay focused on key customer needs Positive influence, leadership and moral Maintain positive executive relationship TRAVEL: Limited travel is expected PROtect Perks: Health, Dental, Vision HSA/FSA HSA Company Match 401K with up to 4% Match, 100% Vested immediately PTO Free Mental Health Courses and Resources Free Financial Coaching Classes/Resources Clear Career Advancement Opportunities Continued Education Reimbursements Relocation/Travel Opportunities Referral Bonuses for top talent Business Development Bonuses Monthly Safety Competitions with Prizes Annual Competitions with Prizes Salary Description $80k-$130k

Job Description **Please Note: This position is open only to candidates authorized to work in the U.S. without the need for current or future visa sponsorship. Additionally, this position is based in the Kansas City area, and we are only considering candidates who reside locally.** At Sunlighten, we're not just about infrared saunas, we're on a mission to improve lives through innovative health and wellness solutions. As a global leader in infrared sauna therapy with a 25-year legacy of innovation, we've grown from our Kansas City roots to establish a global footprint. With the wellness market projected to reach $7 trillion by 2026, we're proud to lead the way in light science and longevity. We're rapidly expanding our BI, AI, and Automation team and are on the hunt for a curious, proactive, and methodical Data Scientist- Forecasting, Experimentation & Scoring to take us to the next level. Based in the Kansas City metro area, we offer the best of both worlds: the growth of a global company with the close-knit culture of a local business. Sunlighten's Data Scientist will drive measurable impact across Sales, Marketing, CX, and Operations through analytics and ML. You'll lead forecasting, lead/opportunity scoring, what‑if analysis, and rigorous experimentation so leaders can make confident decisions. Duties/Responsibilities: Partner with stakeholders (e.g., CSO, Marketing) to shape analytical questions into testable plans; frame success metrics and hypotheses; deliver what‑if analysis, statistical testing, and clear recommendations. Design & run experiments (e.g., changing how we serve chat leads): define treatment/control, power, guardrails; implement tracking (Salesforce/Service Cloud/Marketing Cloud/GA4), and build Power BI readouts. Own ML for BI priorities: improve Lead Score & Opp Score; demand planning; end‑to‑end forecasting; support website/product‑specific models. Define business and model metrics; build golden labels/holdouts; quantify ROI. Feature engineering from Salesforce/NetSuite/Five9/Marketing Cloud/Shopify/telemetry; partner with DE to productionize in Fabric. Implement offline/online evaluation; drift monitoring; experiment tracking; reproducible notebooks; monthly goal snapshotting. Wear multiple hats: when needed, take an analysis/ML project end‑to‑end and collaborate with devs to surface results in products or lightweight UIs. Other duties as discussed and assigned. Requirements This position is open only to candidates authorized to work in the U.S. without the need for current or future visa sponsorship. Additionally, this position is based in the Kansas City area, and we are only considering candidates who reside locally. 2-5 years of enterprise experience in applied data science/analytics 2-5 years of experience developing and shipping predictive models, and delivering stakeholder-facing analyses. Expertise in Python (pandas, scikit‑learn/lightgbm); SQL; forecasting (Prophet/ARIMA/XGB‑based); causal/AB testing (t‑tests, proportion tests, chi‑square), power analysis. Expertise with Power BI for experiment/forecast dashboards; Microsoft Fabric for data/feature pipelines; CI/CD with Git. Excellent communication skills: concise narratives, assumptions, and trade‑offs; clear documentation. Bachelor's or Masters Degree in Data Science/Computer Science/Stats/OR or equivalent experience portfolio/GitHub preferred Benefits Opportunity to work in a collaborative and innovative environment. Career growth opportunities in a market leading and rapidly growing wellness technology company. Competitive Paid Time Off Policy + Paid Holidays + Floating Holidays. Fully Equipped Fitness Center On-Site. Lunch Program featuring a James-Beard Award Winning Chef. Health (HSA & FSA Options), Dental, and Vision Insurance. 401(k) with company contributions. Profit Sharing. Life and Short-Term Disability Insurance. Professional Development and Tuition Reimbursement. Associate Discounts on Saunas, Spa Products and Day Spa Services. Sunlighten provides equal employment opportunity. Discrimination of any type will not be tolerated. Sunlighten is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by state, federal, or local law.

Company Details Intrepid Direct Insurance (IDI) is a rapidly growing direct to consumer property and casualty insurance company. A member of the W. R. Berkley Corporation, a fortune 500 company, rated A+ (Superior) by A.M. Best, Intrepid Direct's vision is to make life better for business. The insurance industry has not evolved with innovation like other major industries. We're here to change that. We are making life better for our customers, shareholders, and our team members by leveraging data and technology as insurance experts for our targeted customers. You will be part of a highly collaborative team of talented and focused professionals. Join a group that enjoys working together, trusts each other, and takes pride in our hard-earned success. *************************** The Company is an equal employment opportunity employer. Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate, implement, and monitor the flowing through our organization. This opportunity will have a direct influence on how data is made available to our business units, as well as our customers. You'll primarily be working with our operations and engineering teams to create and enhance data pipelines, conform and enrich data, and deliver information to business users. Learn the ins and outs of what we do so that you can focus on improving availability and quality of the data we use to service our customers. Key functions include but are not limited to: * Assist with long-term strategic planning for modern data warehousing needs. * Contribute to data modeling exercises and the buildout of our data warehouse. * Monitor, support, and analyze existing pipelines and recommend performance and process improvements to address gaps in existing process. * Automate manual processes owned by data team. * Troubleshoot and remediate ingestion and reporting related issues. * Design and build new pipelines to ingest data from additional disparate sources. * Responsible for the accuracy and availability of data in our data warehouse. * Collaborate with a multi-disciplinary team to develop data-driven solutions that align with our business and technical needs. * Create and deploy reports as needed. * Assist with cataloging and classifying existing data sets. * Participate in peer reviews with emphasis on continuous improvement. * Respond to regulatory requests for information. * Assumes other tasks and duties as assigned by management. * Mentor team members and advise on best practices. Qualifications * Bachelor's degree in Mathematics, Statistics, Computer Science, or equivalent experience. * 6+ years of relevant data engineering experience. * Analytical thinker with experience working in a fast-paced, startup environment. * Technical expertise with Microsoft SQL Server. * Familiarity with ETL tools and concepts. * Hands-on experience with database design and data modeling, preferable experience with Data Vault methodology. * Experience supporting and troubleshooting SSIS packages. * Experience consuming event-based data through APIs or queues. * Experience in Agile software development. * Experience with insurance data highly desired. * Detail oriented, solid organizational, and problem-solving. * Strong written, visual, and verbal communication skills. * Team oriented with a strong willingness to serve others in an agile startup environment. * Flexible in assuming new responsibilities as they arise. * Experience with Power Bi desired. Additional Company Details We do not accept unsolicited resumes from third party recruiting agencies or firms. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Sponsorship Details Sponsorship not Offered for this Role Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate, implement, and monitor the flowing through our organization. This opportunity will have a direct influence on how data is made available to our business units, as well as our customers. You'll primarily be working with our operations and engineering teams to create and enhance data pipelines, conform and enrich data, and deliver information to business users. Learn the ins and outs of what we do so that you can focus on improving availability and quality of the data we use to service our customers. Key functions include but are not limited to: - Assist with long-term strategic planning for modern data warehousing needs. - Contribute to data modeling exercises and the buildout of our data warehouse. - Monitor, support, and analyze existing pipelines and recommend performance and process improvements to address gaps in existing process. - Automate manual processes owned by data team. - Troubleshoot and remediate ingestion and reporting related issues. - Design and build new pipelines to ingest data from additional disparate sources. - Responsible for the accuracy and availability of data in our data warehouse. - Collaborate with a multi-disciplinary team to develop data-driven solutions that align with our business and technical needs. - Create and deploy reports as needed. - Assist with cataloging and classifying existing data sets. - Participate in peer reviews with emphasis on continuous improvement. - Respond to regulatory requests for information. - Assumes other tasks and duties as assigned by management. - Mentor team members and advise on best practices.

The Data Engineer is a key contributor in advancing the firm's data strategy and analytics ecosystem, transforming raw data into actionable insights that drive business decisions. This role requires a technically strong, curious professional committed to continuous learning and innovation. The ideal candidate combines analytical acumen with data engineering skills to ensure reliable, efficient, and scalable data pipelines and reporting solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES Data Engineering & Integration Design, build, and maintain data pipelines and integrations using Azure Data Factory, SSIS, or equivalent ETL/ELT tools. Automate data imports, transformations, and loads from multiple sources (on-premise, SaaS, APIs, and cloud). Optimize and monitor data workflows for reliability, performance, and cost efficiency. Implement and maintain data quality, validation, and error-handling frameworks. Data Analysis & Reporting Develop and maintain reporting databases, views, and semantic models for business intelligence solutions. Design and publish dashboards and visualizations in Power BI and SSRS, ensuring alignment with business KPIs. Perform ad-hoc data exploration and statistical analysis to support business initiatives. Collaboration & Governance Partner with stakeholders across marketing, underwriting, operations, and IT to define analytical and data integration requirements. Maintain data integrity, enforce governance standards, and promote best practices in data stewardship. Support data security and compliance initiatives in coordination with IT and business teams. Continuous Improvement Stay current with emerging data technologies and analytics practices. Recommend tools, processes, or automation improvements to enhance data accessibility and insight delivery. QUALIFICATIONS Required: Strong SQL development skills and experience with Microsoft SQL Server and Azure SQL Database. Hands-on experience with data import, transformation, and integration using Azure Data Factory, SSIS, or similar tools. Proficiency in building BI solutions using Power BI and/or SSRS. Strong data modeling and relational database design skills. Proficiency in Microsoft Excel (advanced formulas, pivot tables, external data connections). Ability to translate business goals into data requirements and technical solutions. Excellent communication and collaboration skills. Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience). Preferred: Experience with cloud-based data platforms (Azure Data Lake, Synapse Analytics, Databricks). Familiarity with version control tools (Git, Azure DevOps) and Agile development practices. Exposure to Python or PowerShell for data transformation or automation. Experience integrating data from insurance or financial systems. Compensation: $120-129K This position is 3 days onsite/hybrid located in Overland Park, KS We look forward to reviewing your application. We encourage everyone to apply - even if every box isn't checked for what you are looking for or what is required. PDSINC, LLC is an Equal Opportunity Employer.

ATGer; noun ; Rockstar of ATG self-motivated, entrepreneurial driver of change. Not afraid to challenge processes and get stuff done (GSD). Collaborate, take risks, and problem solve. Oh, and we really like office dogs and breakfast burritos. Perks; noun ; all the good stuff and more. Fully stocked kitchens. Competitive paid time off and medical benefits. Outdoor walk and talk meetings where you will solve global, complex business problems all while eating a breakfast burrito Advanced Technology Group (ATG) is a leader in Quote-to-Cash advisory and implementation services to both mid-market and large enterprise brands seeking increased agility in the everything-as-a-service economy. Through our entrepreneurial spirit, results focused culture, and innovative delivery model, ATG brings contemporary solutions to the way clients transform and manage their customer and revenue technology platforms. Leveraging decades of deep domain expertise in billing and hundreds of Quote-to-Cash implementations of the leading cloud and on-premise software, ATG helps clients realize their desired outcome faster. What does a Data Engineer do for ATG? The ATG Data Engineers primary role is to strategize, implement, solve, and execute on data related solutions to support ATG initiatives on a variety of platforms. Common activities may include, creating data strategies, data migration/conversions, data mapping, and data profiling. The role will interact with the latest enterprise SaaS platforms within the monetization ecosystem. Individuals in the role will leverage their business, analytical, and technical skills to provide expert guidance on data strategies to our customers that are critical in solution implementations. What are some of the responsibilities of a Data Engineer? Participate in discovery sessions with project teams to understand data requirements needed to support solution implementations. Work collaboratively with a project and client team in an agile environment to support our cloud initiatives Leverage system and process analysis skills to produce data strategies that create a seamless and uninterrupted experience for our clients. Collaborate with clients to generate data mapping documents between target and source systems. Leverage industry leading tools to extract, transform and load data into source systems in an automated fashion to support data migrations. Perform data profiling tasks to collect statistics, trends, impacts, and summaries that lead to a structured and successful implementation. Provide key insights based on data analytics to aid the client in drawing conclusions as to the business value and impact of their data and best approaches for migrating and transforming data to support new system architectures. Work with project management to provide regular status updates to internal and external stakeholders.

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