Senior Data Engineer - Cloud & On-Prem Data Warehousing

Hispanic Alliance for Career Enhancement; Columbus (OH); On-site; USD 65,000 - 173,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a Senior Data Engineer to deliver high‑quality data solutions. You will design, integrate, and implement on‑prem and cloud data pipelines while collaborating with engineering, analytics, and product teams in a fast-paced agile environment.

The role focuses on transforming payer data into the Data Warehouse, leveraging modern languages and platforms, with a path to optimize performance and enable scalable insights.

Qualifications

• 4+ years of experience with SQL and relational databases.
• 2+ years in Cloud Data Engineering platforms (AWS, GCP, Azure, Databricks, Snowflake).
• 2+ years in on-prem data platforms (SQL Server, Oracle, Teradata).
• Programming in SQL, Python, PySpark for cloud and on-prem warehousing.
• Dimensional modeling, schema design, data warehousing experience.
• Troubleshooting data issues and performance optimization.
• Strong communication and collaborative/team-based skills.

Responsibilities

• Design and implement modern data solutions across on-prem and cloud.
• Integrate data from payer files into the Data Warehouse.
• Collaborate with engineering, analytics, data science, and product teams.

Skills

SQL

Python

PySpark

Dimensional modeling

Data warehousing

Cloud platforms

Troubleshooting

Communication

Education

Bachelor's degree in Computer Science / Engineering

Tools

AWS

GCP

Azure

Databricks

Snowflake

Microsoft SQL Server

Oracle

Teradata

Job description

CVS Health is seeking a Senior Data Engineer to deliver high‑quality data solutions. You will design, integrate, and implement on‑prem and cloud data pipelines while collaborating with engineering, analytics, and product teams in a fast-paced agile environment.

The role focuses on transforming payer data into the Data Warehouse, leveraging modern languages and platforms, with a path to optimize performance and enable scalable insights.