Hybrid Data Engineer: Cloud Pipelines & Analytics

Blue Cross & 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

Job summary

Blue Cross and Blue Shield of Minnesota is seeking an Associate Data Engineer to design, build, and maintain modern data pipelines and cloud-native data platforms. You will collaborate with application engineers, analysts, and stakeholders to deliver secure, governed data solutions and enable analytics, reporting, and interoperability.

The role emphasizes Python, SQL, Spark, Databricks, and AWS-based processing, with opportunities to grow in enterprise data engineering practices within a hybrid

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 technologies such as 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

Databricks

Spark SQL

Python

SQL

AWS

Cloud platforms

Data pipelines

Education

Bachelor's degree

High school diploma

Job description

Blue Cross and Blue Shield of Minnesota is seeking an Associate Data Engineer to design, build, and maintain modern data pipelines and cloud-native data platforms. You will collaborate with application engineers, analysts, and stakeholders to deliver secure, governed data solutions and enable analytics, reporting, and interoperability.

The role emphasizes Python, SQL, Spark, Databricks, and AWS-based processing, with opportunities to grow in enterprise data engineering practices within a hybrid