Senior Application, Production Support Engineer
Listed on 2026-02-22
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IT/Tech
Data Engineer, Data Analyst
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.
PositionSummary
The Application/Production Support team within the Caremark Member Operations, Business Data Services (BDS), supports multiple technologies with primary platforms including SQL Server, SSRS and SSIS. As a professional-level independent contributor, you will work as a Senior Application/Production Support Engineer and be responsible for monitoring, troubleshooting, quality testing, and ensuring the production readiness of numerous internal CVS Health source data system extract files, as well as providing application support for several internal .NET
applications.
- Provide on-call support, monitor batch jobs, troubleshoot problems, and perform Root Cause Analysis.
- Troubleshoot and optimize database queries.
- Maintain SOPs and run books, including completing technical requirements, and testing.
- Act as a liaison with DBA and server teams, manage code promotion releases, and provide application support.
- Have the technical expertise to provide data modeling and design guidelines and best practices.
- Responsible for database structures/designs to support Reporting Development in a high-performing and highly engaged reporting team within a PBM business operations environment.
- Provide direction in data integration standards, frameworks and best practices related to ETL and storage/management technologies.
- Possess the necessary architectural principles and techniques that will span across master data, transaction data and derived/analytic data.
- Demonstrated proficiency in using the MS Office Suite, particularly Excel, including efficient use of filtering, sorting, pivot tables, Power Query, Power Pivot, and common formulas for data analysis.
- 5 years working with SQL Server (T-SQL, SSIS, SSRS, Visual Studio) and Business Intelligence Tools (Tableau, etc.). Proficiency with writing SQL/T-SQL queries, stored procedures, functions, and views for ad hoc, recurring standard reports or file builds.
- 5 years of exposure to multiple RDBMS, as well as complex SQL Report Development skills across a variety of DB platforms.
- 3 years developing in modern BI tools like Tableau, Power
BI, Micro Strategy and other development tools like Gitlab or Github. - 3 years supporting .NET applications including but not limited to technologies like VB, HTML, CSS and Java script.
- Strong ability to debug SSIS Packages in SQL Server and Visual Studio, identifying problem, isolating the source of the problem, and determining a workaround solution.
- Strong technical understanding of data integration standards, frameworks and best practices; especially as they relate to ETL development.
- Strong technical understanding of data modeling, design and architecture principles and techniques across master data, transaction data and derived/analytic data; strong technical expertise in data storage/management technologies.
- Experience crafting and optimizing table structures, queries, and views to support data processing and reporting requirements.
- Demonstrated ability to innovate automated solutions using tools like Python, Batch, or Power Shell scripts.
- Regular communication with technical, vendor, application and PBM operations staff to ensure reporting database integrity with multiple systems-of-record data extracts.
- Experience in operationalizing data governance and data quality through metadata.
- Exposure in PBM business operations environment.
- Experience using Git Lab or Git Hub for collaborative coding, repository management, and workflow automation.
- Exposure in supporting ETL solutions built on the Google Cloud Platform (GCP).
- Familiarity with the big data solutions and products available in the market.
- Strong understanding in creating and deploying best…
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