Senior Data Engineer: Cloud & On-Prem Data Warehousing

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

Job summary

CVS Health is seeking a Senior Data Engineer to design and implement modern data solutions. You will collaborate with engineering, analytics, data science, and product teams to deliver scalable data warehousing both on-prem and in the cloud.

The role requires strong SQL, Python, and PySpark skills, plus experience with dimensional modeling and data performance tuning. You will work in a fast-paced environment with a focus on quality and security.

Qualifications

• 4+ years of experience with SQL and relational databases.
• 2+ years in Cloud Data Engineering platforms (AWS, GCP, Azure, Databricks, Snowflake).
• 2+ years with on-prem data platforms (MS SQL Server, Oracle, Teradata).
• Programming in SQL, Python, PySpark for cloud and on-prem warehousing.
• Dimensional data modeling, schema design, and warehousing.
• Troubleshooting data issues.
• Proactive with process improvements; strong ownership.
• Excellent oral and written communication skills.

Responsibilities

• Design, build, and deliver high-quality data solutions.
• Collaborate with engineering, analysts, data scientists, and product teams.
• Support migrations from on-prem to cloud environments.
• Work in a fast-paced, agile environment with modern technologies.

Skills

SQL

Python

PySpark

Cloud platforms

On-prem data warehousing

Dimensional modelling

Data troubleshooting

Performance tuning

Ownership & teamwork

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 design and implement modern data solutions. You will collaborate with engineering, analytics, data science, and product teams to deliver scalable data warehousing both on-prem and in the cloud.

The role requires strong SQL, Python, and PySpark skills, plus experience with dimensional modeling and data performance tuning. You will work in a fast-paced environment with a focus on quality and security.