• Design and implement end-to-end data architecture solutions using Microsoft Fabric • Define data models, data lakes, warehouses, and lakehouse architectures • Lead the design of scalable, secure, and high-performance data pipelines • Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions • Establish data governance, data quality, and security standards • Optimize data storage, processing, and retrieval for performance and cost-efficiency • Provide technical leadership and mentorship to engineering teams • Evaluate and integrate new tools and technologies within the Microsoft ecosystem • Ensure compliance with data regulations and best practices

• Own and evolve Ensemble's enterprise data platform and data product strategy to enable analytics at scale • Lead the design and execution of a cloud-native data platform built on Azure and Databricks • Enable trusted, governed, and reusable data products • Translate business and product strategy into scalable data platform capabilities • Ensure data is AI-ready, secure, observable, cost-efficient, and consumable • Establish and evolve a data platform architecture that enables AI, machine learning, and advanced analytics workloads • Partner with Data Science, Analytics, Product, and Cloud teams • Define and enforce AI-ready data standards • Treat enterprise datasets as data products with clear ownership, quality guarantees, documentation, and usage metrics • Build and evangelize a reusable data product layer that enables self-service analytics

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. At Aetna®, part of CVS Health, we proudly serve more than 26 million medical members through our broad range of health plan offerings. We're committed to delivering a simpler, more meaningful, and personal health care experience to each of them. As a Senior Data Engineer, you will play a critical role in supporting our Aetna members and our business by focusing on evolving the Stars Data Engine to a new Ecosystem that allows for expanding our data ingestion footprint while increasing data security, reducing data replication and becoming more real-time solutions related to the data outputs. Responsibilities Include: - Manage and be responsible for the successful delivery of large-scale data structures and Pipelines and efficient Extract/Load/Transform (ETL) workflows. - Act as the data engineering team lead for large and complex projects involving multiple resources and tasks, providing individual mentoring in support of company objectives. - Apply Rapid Application Development and Lean techniques to direct work assignments and provide mentoring to junior staff to successfully direct improvements to the Data Engine Framework to support the constituent needs of the various Medicare Business units. - Help manage the evolution to a self-organizing, cross functional team structure that leverages iterative Delivery Processes with a focus on continuous delivery of valuable software. ***This is a telework position and must be worked within the United States*** Required Qualifications - 5-7 years of experience in Medicare, including state and federal regulations governing Medicare field agent programs. - 5–7 years of experience in sales leadership, ideally within Medicare Sales or Medicare-related programs. - Strong cross-team communication and collaboration skills - Experience communicating technical information and results to non-technical clients in written and verbal form. - Proven ability to create innovative solutions to highly complex technical problems. - Experience leveraging multiple tools and programming languages to analyze and manipulate large data sets from disparate data sources. - Advanced knowledge in SQL Server and/or DB2, SSIS, Microsoft .Net Framework, ASP, C#, Visual Studio, SAS, & SQL or similar. - knowledge of cloud technologies including (GCP, Azure, Snowflake) - Experience building and implementing data transformation and processing solutions. - Has in-depth knowledge of large-scale search applications and building high volume data pipelines. Education - Bachelor’s degree or equivalent work experience Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $101,970.00 - $203,940.00 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 offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. We anticipate the application window for this opening will close on: 04/20/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

What you will do - You design and develop complex ETL processes and technically scalable solutions for database applications in an agile environment - You are involved in all areas related to databases – from defining the architecture to migrations, maintenance, and administration - You implement new or extend existing architectural components in AWS that are required for data processing - You support the team in building a scalable Data Warehouse / Data Lake architecture Your profile - You hold a degree in Computer Science or possess equivalent practical knowledge and experience. - Several years of experience as a Data Engineer define your professional background - You have excellent knowledge of Python and at least one other typed programming language; experience with common infrastructure as code frameworks (e.g., CDK, Terraform) is a plus - You have hands-on experience with SQL, ETL processes, and database design; advanced knowledge in tools such as Spark or comparable frameworks is a plus - You have several years of experience in the AWS environment (e.g., Athena, DynamoDB, EC2, ECS, EMR, EKS, Lambda, RDS, Redshift, S3) - Ideally, you have experience in analytics and reporting environments - You are fluent in English; German and any other additional language is a plus - You integrate AI into your daily work to move faster, solve problems smarter, and continuously improve outcomes - because this is core to how we scale and innovate as a company Why us? Remote First: Whether you prefer working from home, using co-working spaces across Germany, or being in our modern headquarters in Cologne – we support all working styles. Well equipped: To make sure you have everything you need in your home office, we provide the appropriate hardware. After your probation period, you’ll also receive a budget for ergonomic home office equipment. Flexibility: You can organize your working hours flexibly. With a core working time from 9:00 to 12:00, you have plenty of freedom to balance work and personal life. With our Workation Worldwide program, you can work remotely for up to 60 days per year from anywhere within ±4 hours of the German time zone. Benefits à la carte: With Probonio, you can design your benefits anew every month: Use your budget for meal subsidies, childcare support, vouchers, or book your Urban Sports Club membership – all easily managed via app.Time Off & Recharge: You benefit from 32 days of paid vacation per year. In addition, Christmas Eve and New Year’s Eve are fully off. With our Culture Day, you can also take a day off that is personally important to you - intentionally and individually.Company-wide Bonus: Our Shared Success Plan strengthens a shared result orientation by transparently and fairly sharing company success with everyone.Mobility & sustainability: Through FINN JobAuto, you can lease your own electric vehicle at attractive conditions. You can also benefit from bike leasing. Team spirit: Our teams meet in person once per tertial for brainstorming, workshops, and of course for our much-loved summer and winter events. Healthy at work: We support you with Urban Sports Club, life coaching programs, and additional offerings to help you stay fit and stress-free in your daily work. Dog friendly: Dogs are warmly welcomed – just bring your four-legged friend to the office. And more: 20% contribution to your company pension plan, access to our attractive corporate benefits portal, and lots of fun – “Spark joy together” is one of our core company values for a reason. Employment type Full-time, 40 hours, permanent Want to join the team? We look forward to receiving your application! At our company, everyone is welcome - regardless of gender, gender identity, disability, ethnic background, nationality, religion, belief, age, or sexual orientation. What matters most is that you’re a great fit for our team.