Senior Data Engineer: Cloud & On-Prem Data Warehousing

Hispanic Alliance for Career Enhancement; Trenton (NJ); Hybrid; USD 65,000 - 173,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision coverage

Paid time off

Retirement savings options

Job summary

CVS Health is seeking a Senior Data Engineer to deliver high-quality data solutions in collaboration with engineering, analytics, data science, and product teams. You will design and implement on-prem data workflows and support cloud migrations to modernize our data platform.

The role emphasizes dimensional modeling, data warehousing, and hands-on programming in SQL, Python, and PySpark to support payer data in our Data Warehouse within a healthcare context.

Qualifications

• 4+ years of experience with SQL and relational DBMS.
• 2+ years of experience in Cloud Data Engineering Platforms (AWS, GCP, Azure, Databricks, Snowflake).
• 2+ years of experience in on-prem Data Engineering Platforms (MS SQL Server, Oracle, Teradata).
• Programming in SQL, Python, PySpark for data warehousing and cloud/on-prem workloads.
• Hands-on with dimensional data modeling, schema design, and data warehousing.

Responsibilities

• Design, integrate and implement data solutions in a fast-paced, agile environment.
• Collaborate with engineering, analytics, data science and product teams.
• Support migrations of workloads to the cloud and manage on-prem data workflows.

Skills

SQL

Cloud Data Engineering platforms

On-prem Data Engineering

Python

PySpark

Dimensional data modeling

Data warehousing

Troubleshooting data issues

Performance tuning

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 deliver high-quality data solutions in collaboration with engineering, analytics, data science, and product teams. You will design and implement on-prem data workflows and support cloud migrations to modernize our data platform.

The role emphasizes dimensional modeling, data warehousing, and hands-on programming in SQL, Python, and PySpark to support payer data in our Data Warehouse within a healthcare context.