Senior Data Engineer - Cloud & On-Prem Data Warehousing

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

Job summary

CVS Health is seeking a Senior Data Engineer to deliver high-quality data solutions in a fast-paced, agile environment. You will design and implement cloud‑based and on‑prem data solutions and assist migrations of workloads to the cloud.

The role focuses on processing payer files into the Data Warehouse and collaborating with engineering, analysts, and data scientists. The ideal candidate has extensive SQL, Python, and PySpark experience, strong data warehousing knowledge, and the ability to own

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 Engineering (SQL Server, Oracle, Teradata).
• Programming in SQL, Python and PySpark to support cloud/on‑prem warehousing.
• Hands-on data modeling, schema design and data warehousing.
• Troubleshooting data issues and applying performance improvements.
• Willingness to own process improvements in a fast-paced, team environment.
• Excellent oral and written communication skills.

Responsibilities

• Deliver high quality data solutions for cloud and on‑prem environments.
• Design, integrate, and implement data solutions across teams.
• Process payer files into the Data Warehouse.

Skills

SQL

Relational databases

Python

PySpark

Cloud platforms

Dimensional data modeling

Schema design

Data warehousing

Troubleshooting data issues

Performance optimization

Ownership & collaboration

Communication skills

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 in a fast-paced, agile environment. You will design and implement cloud‑based and on‑prem data solutions and assist migrations of workloads to the cloud.

The role focuses on processing payer files into the Data Warehouse and collaborating with engineering, analysts, and data scientists. The ideal candidate has extensive SQL, Python, and PySpark experience, strong data warehousing knowledge, and the ability to own