Senior Data Engineer - Cloud & On-Prem Data Warehousing

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

Benefits offered by this job

Healthcare benefits

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions across cloud and on-prem environments. You will design data pipelines, integrate with analytics teams, and support migrations to the cloud while maintaining data quality and performance.

You will work with SQL, Python, and PySpark, applying dimensional modeling and best practices in a collaborative, fast-paced setting. This full-time role offers comprehensive benefits and growth opportunities.

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 Engineering (SQL Server, Oracle, Teradata).
• Proficient in SQL, Python, and PySpark for data warehousing tasks.
• Dimensional modeling, schema design, and data warehousing practicals.
• Troubleshooting data issues and applying performance improvements.
• Strong verbal and written communication in a fast-paced team environment.

Responsibilities

• Design, implement, and optimize data pipelines for cloud and on-prem systems.
• Collaborate with engineering, analysts, data scientists, and product teams.
• Support migrations of workloads to the cloud and maintain data quality.

Skills

SQL

Cloud platforms

On-prem data warehousing

Python

PySpark

Dimensional modeling

Troubleshooting data issues

Communication skills

Education

Bachelor's degree in CS/Engineering

Tools

AWS

GCP

Azure

Databricks

Snowflake

SQL Server

Oracle

Job description

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions across cloud and on-prem environments. You will design data pipelines, integrate with analytics teams, and support migrations to the cloud while maintaining data quality and performance.

You will work with SQL, Python, and PySpark, applying dimensional modeling and best practices in a collaborative, fast-paced setting. This full-time role offers comprehensive benefits and growth opportunities.