Data Engineer - (Spark, Kafka, Kubernetes, Microservices / API / Data Streaming)

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. Position Summary: You will - Collaborate with business partners to identify opportunities to leverage big data and/or real-time data technologies in support of Pharmacy Personalization with a common set of tools and infrastructure to make analytics faster, more insightful, and more efficient Design highly scaleable and extensible Big Data and/or real-time data platforms which enables collection, storage, modeling, and analysis of massive data sets from numerous channels Define and maintain data architecture, focusing on applying technology to enable business solutions Assess and provide recommendations on business relevance, with appropriate timing and deployment Perform architecture design, data modeling, and implement CVS Big Data and/or real-time data platforms and analytic applications Bring a DevOps mindset to enable big data and batch/real-time analytical solutions that leverage emerging technologies Develop prototypes and proof of concepts for the selected solutions, and implement complex big data and/or real-time data projects Apply a creative mindset with a focus on collecting, parsing, managing, and automating data feedback loops in support of business innovation Required Qualifications: Strong in SQL and Python, with 2+ years hands-on coding experience with both Experience building automated big data pipelines Experience with REST API/Microservice development using Python Experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS) Experience with real-time and streaming technology (e.g. Azure Event Hubs, Azure Functions Kafka, Spark Streaming) Experience performing data analysis and data exploration Strong critical thinking, communication, and problem solving skills and a quick learner Experience with any big data frameworks on Spark (e.g. PySpark) Experience with cloud-based platforms (i.e. Azure, GPC, AWS) Experience working in multi-developer environment, using version control (i.e. Git) Experience with data modeling and system architecture design Experience partnering cross-functionally with other technical teams (i.e. data ingestion, data science, operational systems) to align priorities and achieve deliverable outcomes Experience with setting coding standards, performing code reviews, and mentoring junior developers Preferred Qualifications: Experience working in an Agile delivery environment Experience with RDBMS and NoSQL Databases and hands-on query tuning/optimization Experience with orchestrating pipelines using tools (e.g. Airflow, Azure Data Factory) Experience with bash shell scripts, UNIX utilities & UNIX Commands Ability to understand complex systems and solve challenging analytical problems Previous healthcare experience and domain knowledge Exposure/understanding DevOps best practice and CICD pipelines (e.g. Jenkins) Education: Bachelor??s Degree in Computer Science, Information Systems, Information Management, Engineering, Statistics, Physics, Math, or related field or equivalent experience Preferred: Master??s Degree with coursework focused on advanced algorithms, mathematics in computing, data structures, etc. Pay Range The typical pay range for this role is: $72,100.00 - $173,040.00 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. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company??s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (??PTO??) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit Benefits | CVS Health We anticipate the application window for this opening will close on: 04/28/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

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