Senior Data Engineer - Cloud & Data Warehousing

CVS Health Corporation; Montpelier (VT); On-site; USD 83,000 - 222,000; Full time

Benefits offered by this job

Comprehensive benefits

Bonus program

Paid time off

Job summary

CVS Health Corporation is seeking a Senior Data Engineer to deliver high-quality data solutions in a fast-paced, collaborative environment. You will design, integrate, and implement data platforms on-premise and guide migrations to the cloud, supporting claims, revenue, and Medicare data into our Data Warehouse.

You will work with engineering, analytics, data science, and product teams, leveraging SQL, Python, PySpark, Databricks, and Azure to optimize dimensional models and data workflows,

Qualifications

• 5+ years of experience with SQL and relational databases.
• 3+ years in Cloud technologies and Microsoft SQL Server.
• 3+ years in Databricks, PySpark and Azure familiarity.
• Hands-on data warehousing, dimensional modeling, and troubleshooting.
• Strong communication skills and ownership mindset.

Responsibilities

• Design, integrate, and implement data solutions for on-prem and cloud migrations.
• Collaborate with engineering, analysts, data scientists, and product teams.
• Process Claims, Revenue, Medicare data into the Data Warehouse.
• Optimize data workflows and improve performance.
• Drive process improvements in a fast-paced, team-based environment.

Skills

SQL

Cloud technologies

Microsoft SQL Server

Databricks

Azure familiarity

Python

PySpark

Data warehousing

Troubleshooting data issues

Performance optimization

Communication

Ownership & teamwork

Education

Bachelor's degree in Computer Science or related

Job description

CVS Health Corporation is seeking a Senior Data Engineer to deliver high-quality data solutions in a fast-paced, collaborative environment. You will design, integrate, and implement data platforms on-premise and guide migrations to the cloud, supporting claims, revenue, and Medicare data into our Data Warehouse.

You will work with engineering, analytics, data science, and product teams, leveraging SQL, Python, PySpark, Databricks, and Azure to optimize dimensional models and data workflows,