Data Engineer - Cloud & On-Prem Data Warehousing

Quest Oracle Community; 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 modern data solutions. You will collaborate across engineering, analysts, data scientists, and product teams in a fast-paced, agile environment, building on-premise solutions while supporting migrations to the cloud.

The role focuses on processing payer files into our Data Warehouse and requires hands-on experience with SQL, Python, PySpark, and cloud platforms such as AWS, GCP, or Azure, as well as on-prem systems like SQL

Qualifications

• 4+ years of experience with SQL and relational DBMS.
• 2+ years in cloud data engineering platforms.
• 2+ years on-prem data engineering platforms.
• Programming in SQL, Python, PySpark for cloud/on‑prem warehousing.
• Dimensional modeling, schema design, and data warehousing.
• Troubleshooting data issues.
• Performance improvement techniques.
• Willing to own improvements in a fast-paced, collaborative environment.
• Excellent oral and written communication skills.

Responsibilities

• Deliver high-quality modern data solutions.
• Collaborate with engineering, analysts, data scientists, and product teams.
• Design and implement on-prem and cloud data warehousing solutions.
• Support migrations of workloads to the cloud.

Skills

SQL

Python

PySpark

Data modeling

Data warehousing

Troubleshooting

Performance tuning

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 modern data solutions. You will collaborate across engineering, analysts, data scientists, and product teams in a fast-paced, agile environment, building on-premise solutions while supporting migrations to the cloud.

The role focuses on processing payer files into our Data Warehouse and requires hands-on experience with SQL, Python, PySpark, and cloud platforms such as AWS, GCP, or Azure, as well as on-prem systems like SQL