Senior Data Engineer — Hybrid Cloud Analytics & Pipelines

CVS Health; Wellesley (MA); Hybrid; USD 133,000 - 222,000; Full time

Job summary

CVS Health is seeking a Senior Data Engineer to join our Data Engineering team. You will design, build, and maintain scalable data pipelines and cloud-native solutions to support analytics and business intelligence.

You will partner with stakeholders, analysts, product teams, and engineers to own the data lifecycle from modeling to ETL/ELT development. The role requires 3+ years in SQL and cloud/on-prem data platforms, strong Python/PySpark skills, and experience with data warehousing and

Qualifications

• 3+ years of experience with SQL and relational DBMS.
• 3+ years in cloud data engineering platforms (AWS, GCP, Azure, Databricks, Snowflake).
• 3+ years on-prem data engineering platforms (SQL Server, Oracle, Teradata).
• Proficient programming in SQL, Python, and PySpark for data warehousing.
• Hands-on with dimensional data modeling, schema design, and data warehousing.
• Hands-on with troubleshooting data issues and performance improvements.
• Willingness to own improvements in a fast-paced, collaborative environment.
• Excellent oral and written communication skills.

Responsibilities

• Design, build, and maintain scalable cloud-native data pipelines.
• Partner with stakeholders to support data-driven analytics and BI solutions.
• Own the data lifecycle from modeling to ETL/ELT development and optimization.

Skills

SQL

Cloud data platforms

On-prem platforms

SQL/Python/PySpark

Dimensional modeling

Data warehousing

Troubleshooting data issues

Performance tuning

Ownership & collaboration

Excellent communication

Education

Bachelor's degree in Computer Science or related field

Tools

BigQuery

Teradata

Snowflake

Azure

AWS

GCP

Job description

CVS Health is seeking a Senior Data Engineer to join our Data Engineering team. You will design, build, and maintain scalable data pipelines and cloud-native solutions to support analytics and business intelligence.

You will partner with stakeholders, analysts, product teams, and engineers to own the data lifecycle from modeling to ETL/ELT development. The role requires 3+ years in SQL and cloud/on-prem data platforms, strong Python/PySpark skills, and experience with data warehousing and