Senior Data Engineer, Healthcare Data Platform

Quest Oracle Community; Indianapolis (IN); Hybrid; USD 65,000 - 173,000; Full time

Benefits offered by this job

Health insurance

Job summary

CVS Health in Indianapolis, IN is seeking a Senior Data Engineer to deliver high-quality data solutions in a fast‑paced environment, collaborating with engineering, analysts, data scientists, and product teams.

You will design, integrate, and implement on‑prem solutions while supporting migrations to the cloud, using SQL, Python and PySpark to build scalable data warehouses.

Ideal candidate has 4+ years SQL, cloud and on‑prem experience, strong communication, and a passion for process improvement.

Qualifications

• 4+ years of experience with SQL and relational DBMS.
• 2+ years in cloud data engineering platforms (AWS, GCP, Azure, Databricks or Snowflake).
• 2+ years on-prem data engineering platforms (SQL Server, Oracle, Teradata).
• Proficient in SQL, Python and PySpark for warehousing services.
• Dimensional modeling and data warehousing experience.
• Troubleshooting and performance improvement skills.
• Excellent communication skills.

Responsibilities

• Deliver high-quality data solutions with engineers, analysts and data scientists.
• Design, integrate and implement data solutions on-prem and cloud migrations.
• Process payer files into the Data Warehouse.
• Support data pipelines and promote best practices in a fast-paced team environment.

Skills

SQL

AWS

GCP

Azure

Databricks

Snowflake

SQL Server

Oracle

Teradata

Python

PySpark

Dimensional modeling

Data warehousing

Troubleshooting

Performance tuning

Communication

Teamwork

Education

Bachelor's degree in Computer Science / Engineering

Tools

SQL

Microsoft SQL Server

Oracle

Teradata

Job description

CVS Health in Indianapolis, IN is seeking a Senior Data Engineer to deliver high-quality data solutions in a fast‑paced environment, collaborating with engineering, analysts, data scientists, and product teams.

You will design, integrate, and implement on‑prem solutions while supporting migrations to the cloud, using SQL, Python and PySpark to build scalable data warehouses.

Ideal candidate has 4+ years SQL, cloud and on‑prem experience, strong communication, and a passion for process improvement.