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.
Position Summary
Required Qualifications
- 5+ years of experience in data engineering, software engineering, data warehousing, or related disciplines.
- Strong experience designing and implementing scalable ETL/ELT pipelines and data integration solutions.
- Advanced proficiency in SQL and at least one modern programming language such as Python, Java, or Scala.
- Experience working with cloud-based data platforms such as AWS, Azure, Snowflake, or GCP.
- Hands-on experience with distributed data processing frameworks such as Spark.
- Experience with relational and non-relational databases, data lakes, and modern data warehousing solutions.
- Knowledge of data governance, data quality, metadata management, and security best practices.
- Strong analytical, troubleshooting, problem-solving, and communication skills.
- Ability to lead technical initiatives, influence cross-functional teams, and mentor less experienced engineers.
Preferred Qualifications
- Experience with healthcare, insurance, or highly regulated industries.
- Experience with Snowflake, Databricks, BigQuery, Redshift, Synapse, or similar modern analytical platforms.
- Familiarity with CI/CD, Infrastructure as Code, and DevOps practices.
- Experience supporting data science, machine learning, or AI workloads.
- Experience with streaming technologies such as Kafka or equivalent event-driven architectures.
- Cloud platform certifications (AWS, Azure, or Google Cloud).
- Big data and data engineering certifications such as DASCA Associate Big Data Engineer (ABDE) or related credentials.
- Demonstrated experience leading enterprise-scale data modernization initiatives
Education
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$83,430.00 - $166,860.00This 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.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 5+ years of experience in data engineering, software engineering, data warehousing, or related disciplines.
- Designing and implementing scalable ETL/ELT pipelines and data integration solutions.
- Advanced proficiency in SQL.
- Proficiency in at least one modern programming language such as Python, Java, or Scala.
- Experience with cloud-based data platforms such as AWS, Azure, Snowflake, or GCP.
- Hands-on experience with distributed data processing frameworks such as Spark.
- Experience with relational and non-relational databases, data lakes, and modern data warehousing solutions.
- Knowledge of data governance, data quality, metadata management, and security best practices.
- Strong analytical, troubleshooting, problem-solving, and communication skills.
- Ability to lead technical initiatives, influence cross-functional teams, and mentor less experienced engineers.
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Mathematics, Statistics, or related field, or equivalent experience.
- Experience with healthcare, insurance, or highly regulated industries.
- Experience with Snowflake, Databricks, BigQuery, Redshift, Synapse, or similar analytical platforms.
- Familiarity with CI/CD, Infrastructure as Code, and DevOps practices.
- Experience supporting data science, machine learning, or AI workloads.
- Experience with streaming technologies such as Kafka or equivalent event-driven architectures.
- Cloud platform certifications (AWS, Azure, or Google Cloud).
- Big data and data engineering certifications such as DASCA ABDE or related credentials.
- Demonstrated experience leading enterprise-scale data modernization initiatives.
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What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
