Senior SQL Developer

CVS Health•Work At Home-Pennsylvania, IN

1d•$54,300 - $145,860•Remote

About The Position

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. CVS is seeking an experienced Senior SQL Developer to join our Analytics and Data Services team. The ideal candidate is located in the Eastern or Central time zone and has extensive expertise in SQL, relational databases, data integration, and large-scale data processing. This individual will be responsible for designing, optimizing, and maintaining data pipelines, managing enterprise data assets, and supporting advanced analytics initiatives. The successful candidate has a proven track record of "shoveling data" at scale, moving and transforming millions of records efficiently while ensuring data quality, performance, and reliability.

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent work experience.
5+ years of experience developing complex SQL solutions in a large-scale enterprise environment.
Strong expertise with relational database platforms such as SQL Server, Oracle, PostgreSQL, Snowflake, or similar technologies.
Experience working with large, complex datasets and optimizing data performance at scale.
Solid understanding of database design, query optimization, indexing, and performance tuning.
Knowledge of data warehousing principles and dimensional data modeling.
Experience integrating data from multiple sources, including APIs, databases, and flat files.

Nice To Haves

Experience with cloud platforms such as Azure, AWS, or Google Cloud.
Experience with big data technologies such as Spark, Databricks, or Hadoop.
Familiarity with Python, PowerShell, or other scripting languages for data automation.
Experience supporting healthcare, financial services, or other highly regulated industries.
Knowledge of CI/CD practices and version control tools such as Git.
Experience with Power BI, Tableau, or other analytics platforms.

Responsibilities

Design, develop, and maintain complex SQL queries, stored procedures, views, and database objects.
Build and optimize ETL/ELT processes to ingest, transform, and load large datasets from multiple sources.
Manage and support enterprise database environments and data warehouses.
Tune SQL code and database performance to improve execution speed and scalability.
Develop and maintain data pipelines that support reporting, analytics, operational systems, and machine learning initiatives.
Profile, cleanse, validate, and reconcile large volumes of data.
Design data models and database structures to support current and future business needs.
Monitor data quality and implement controls to ensure accuracy and integrity.
Troubleshoot production data issues and perform root cause analysis.
Document database designs, data flows, and technical processes.