Senior Cloud Data Engineer - Health Analytics & Pipelines

CVS Health; Hartford (CT); On-site; USD 93,000 - 222,000; Full time

Job summary

CVS Health, Hartford, CT, seeks a Senior Data Engineer to design, build, and maintain robust, scalable data pipelines that power analytics and business intelligence. You will partner with stakeholders, analysts, product teams, and fellow engineers to implement cloud‑native solutions using the modern data stack.

This role requires 3+ years in SQL/data warehousing, strong Python/PySpark skills, and a collaborative, problem‑solving mindset.

Qualifications

• 3+ years of SQL and relational DBMS experience.
• 3+ years on cloud data platforms (AWS/GCP/Azure, Databricks, Snowflake).
• 3+ years on‑prem data warehousing platforms (SQL Server, Oracle, Teradata).
• Python and PySpark coding for cloud/on‑prem warehousing.
• Dimensional data modeling and data warehousing experience.
• Strong troubleshooting and performance‑tuning skills.
• Excellent written and verbal communication.

Responsibilities

• Design, build, and operate scalable data pipelines.
• Collaborate with stakeholders to enable data‑driven insights.
• Own data lifecycle from modeling to performance optimization.
• Troubleshoot data issues and implement improvements.

Skills

SQL

Python

PySpark

Data modeling

ETL/ELT

Data warehousing

Troubleshooting

Communication skills

Education

Bachelor’s degree in Computer Science

Equivalent work experience

Tools

BigQuery

Snowflake

Databricks

Microsoft SQL Server

Oracle

Teradata

Cloud platforms (GCP/AWS/Azure)

Job description

CVS Health, Hartford, CT, seeks a Senior Data Engineer to design, build, and maintain robust, scalable data pipelines that power analytics and business intelligence. You will partner with stakeholders, analysts, product teams, and fellow engineers to implement cloud‑native solutions using the modern data stack.

This role requires 3+ years in SQL/data warehousing, strong Python/PySpark skills, and a collaborative, problem‑solving mindset.