Senior Data Engineer - Cloud & On-Prem Data Solutions

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

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions, integrating cloud-based and on‑prem data warehousing. You will design, implement, and migrate workloads while collaborating with engineering, analysts, data scientists, and product teams in an agile environment.

Ideal candidates have strong SQL, Python, and PySpark skills, plus experience with cloud platforms (AWS/GCP/Azure) and on‑prem systems (SQL Server, Oracle, Teradata).

Qualifications

• 4+ years of experience with SQL and relational database management systems.
• 2+ years of experience in Cloud Data Engineering Platforms such as AWS, GCP, Azure, Databricks, Snowflake.
• 2+ years of experience in on-prem Data Engineering Platforms such as Microsoft SQL Server, Oracle, Teradata.
• Programming and modifying code in SQL, Python, and PySpark for cloud/on‑prem data warehousing.
• Hands-on with dimensional data modeling, schema design, and data warehousing.
• Hands-on with troubleshooting data issues.
• Willingness to improve processes and work in a fast-paced, collaborative environment.
• Excellent oral and written communication skills.

Skills

SQL

Cloud Data Platforms

On-Prem Data Platforms

SQL/Python/PySpark

Data Warehousing

Troubleshooting

Optimization

Ownership/Teamwork

Communication

Education

Bachelor's degree in Computer Science / Engineering

Tools

Microsoft SQL Server

Oracle

Teradata

Python

PySpark

Job description

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions, integrating cloud-based and on‑prem data warehousing. You will design, implement, and migrate workloads while collaborating with engineering, analysts, data scientists, and product teams in an agile environment.

Ideal candidates have strong SQL, Python, and PySpark skills, plus experience with cloud platforms (AWS/GCP/Azure) and on‑prem systems (SQL Server, Oracle, Teradata).