Healthcare Data Engineer: Cloud & On-Prem Solutions

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

Job summary

CVS Health is seeking a Senior Data Engineer to design and deliver modern data solutions for our Data Warehouse. You will work with engineering, analytics, data science, and product teams in a fast-paced, agile setting, focusing on both cloud and on‑prem architectures.

The role emphasizes dimensional modeling, data warehousing, and troubleshooting, with opportunities to optimize performance and implement best practices across the data platform.

Qualifications

• 4+ years of experience with SQL and relational DBMS
• 2+ years in Cloud Data Engineering platforms (AWS, GCP, Azure, Databricks, Snowflake)
• 2+ years in on-prem data platforms (MS SQL Server, Oracle, Teradata)
• Programming in SQL, Python, PySpark to support cloud and on-prem warehousing
• Hands-on dimensional data modeling, schema design and data warehousing
• Hands-on troubleshooting data issues
• Hands-on performance improvement techniques
• Ability to own process improvements in a fast-paced, collaborative environment
• Excellent oral and written communication skills

Responsibilities

• Design, integrate, and implement data solutions for the Data Warehouse.
• Collaborate with engineering, analysts, data scientists and product teams in an agile environment to reimagine healthcare data workflows.

Skills

SQL

Python

PySpark

AWS

GCP

Azure

Databricks

Snowflake

Dimensional data modeling

Data warehousing

Troubleshooting data issues

Performance optimization

Communication skills

Ownership in fast-paced teams

Education

Bachelor's degree in Computer Science / Engineering

Tools

Microsoft SQL Server

Oracle

Teradata

Job description

CVS Health is seeking a Senior Data Engineer to design and deliver modern data solutions for our Data Warehouse. You will work with engineering, analytics, data science, and product teams in a fast-paced, agile setting, focusing on both cloud and on‑prem architectures.

The role emphasizes dimensional modeling, data warehousing, and troubleshooting, with opportunities to optimize performance and implement best practices across the data platform.