Hybrid Data Engineer — Cloud Pipelines & Analytics

Blue Cross and Blue Shield of Minnesota; Eagan (MN); Hybrid; USD 61,000 - 98,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k

PTO

Volunteer PTO

Job summary

Blue Cross and Blue Shield of Minnesota is seeking an Associate Data Engineer to design, build, and maintain cloud-based data pipelines that enable secure data movement across enterprise systems and support analytics, operational reporting, and interoperability.

You will work with AWS, Databricks, Spark, Python, and SQL, collaborating with analysts and product owners to deliver governed, scalable data solutions while growing your skills in modern data engineering practices.

Qualifications

• 2+ years related experience or bachelor’s degree in lieu of experience.
• High school diploma (or equivalent).

Responsibilities

• Design, build, and support scalable cloud-based data pipelines and integration solutions that enable secure, reliable data movement across enterprise systems.
• Develop and maintain data processing, transformation, and quality capabilities using AWS, Databricks, SQL, Spark, and Python, while following best practices for security, governance, testing, and DevOps.
• Partner with business and technical teams to translate data requirements into solutions, troubleshoot issues, improve platform performance, and contribute to engineering standards, reusable frameworks, and continuous innovation.

Skills

SQL

Python

Databricks

Spark

AWS

Delta Lake

Data modeling

Communication

Education

Bachelor’s degree

High school diploma

Tools

Git

CI/CD

Job description

Blue Cross and Blue Shield of Minnesota is seeking an Associate Data Engineer to design, build, and maintain cloud-based data pipelines that enable secure data movement across enterprise systems and support analytics, operational reporting, and interoperability.

You will work with AWS, Databricks, Spark, Python, and SQL, collaborating with analysts and product owners to deliver governed, scalable data solutions while growing your skills in modern data engineering practices.