Associate Data Engineer

At Blue Cross and Blue Shield of Minnesota we are committed to paving the way for everyone to achieve their healthiest life. We are looking for dedicated and motivated individuals who share our vision of transforming healthcare. As a Blue Cross associate you are joining a culture that is built on values of succeeding together finding a better way and doing the right thing. If you are ready to make a difference join us.

The Associate Data Engineer supports the design development delivery and ongoing support of enterprise data products data integration solutions and cloud-native data platforms. The role works with structured and unstructured data to help enable analytics operational reporting interoperability and digital business capabilities through reliable data engineering solutions.

This position focuses on building and maintaining modern data pipelines cloud-native integration patterns event-driven workflows and data transformation capabilities under the guidance of senior engineers and architects. The Associate Data Engineer collaborates with application engineers product owners analysts and business stakeholders to deliver secure governed and scalable data solutions.

The ideal candidate brings foundational experience with data engineering concepts SQL Python cloud data platforms and distributed processing technologies with a strong willingness to learn and grow in modern enterprise data engineering practices.

• Design build and support scalable cloud-based data pipelines and integration solutions that enable secure reliable and efficient 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.

• Develop deploy and support data pipelines integration solutions and data products that support enterprise business capabilities.
• Assist with implementation of cloud-native data processing solutions using AWS services Databricks and distributed data processing frameworks.
• Develop and support batch API file-based and event-driven integration patterns that enable secure and reliable data exchange.
• Contribute to technical design activities for data engineering solutions including data models transformation logic ingestion patterns and consumption layers.
• Develop and test data transformation logic using SQL Spark Python and related technologies.
• Build and support data ingestion enrichment quality lineage and observability capabilities that improve trust transparency and operational supportability.
• Support CI/CD pipelines infrastructure automation testing strategies and DevOps practices for data platforms and data products.
• Partner with business stakeholders application teams and architects to understand requirements and translate them into technical tasks and deliverables.
• Follow enterprise standards for security governance reliability performance and maintainability.
• Troubleshoot data processing and integration issues while contributing to improvements in platform performance resiliency and operational efficiency.
• Contribute to engineering standards reusable patterns documentation and team best practices.

• Participate in technology evaluations proof-of-concept initiatives and architecture reviews as directed.
• Contribute to reusable integration transformation and data platform patterns.
• Share knowledge through documentation and team learning activities.
• Stay current on cloud data engineering AI and interoperability technologies relevant to the role.

• 2 years related experience or bachelors degree in lieu of experience.
• High school diploma (or equivalent)

Skillset and Experience

• Related technical professional internship academic or project experience. All relevant experience including work education transferable skills and military experience will be considered.
• Exposure to data engineering data integration software development analytics engineering or data platform development.
• Essential Candidate Qualities: Curiosity willingness to learn problem-solving mindset strong communication skills self-motivation and time management skills.

Data Engineering & Analytics

• Exposure to Databricks or similar cloud data platforms
• Exposure to Apache Spark / Spark SQL
• Familiarity with Delta Lake or similar storage formats
• Python
• SQL
• Foundational understanding of data modeling and schema design
• Familiarity with data quality lineage and observability concepts
• Exposure to operational and analytical data platforms
• Interest in data modeling and performance optimization

Cloud & DevOps

• Exposure to AWS services such as Lambda Glue EMR S3 DynamoDB SNS/SQS or EventBridge

• Familiarity with Infrastructure as Code concepts; Terraform experience is a plus

• Exposure to CI/CD concepts and tools such as GitLab GitHub Actions Jenkins or similar tools

AI and Emerging Technologies (Nice to have)

• Exposure to AI-assisted development tools such as Microsoft Copilot GitHub Copilot Claude etc
• Interest in applying AI capabilities to software development automation testing and operational processes.

• Eager to grow across data engineering integration engineering cloud development and platform enablement.

• Foundational experience with Databricks or cloud-based data platforms.

• Experience contributing to data pipelines integration solutions or data transformation processes.

• Exposure to modern cloud data platforms using Databricks Apache Spark Delta Lake or similar technologies.

• Strong SQL fundamentals with experience developing data transformations and analytical queries.

• Familiarity with cloud-native platforms and distributed data processing technologies.

• Able to take ownership of assigned engineering tasks and contribute to technical discussions within a team.

• Collaborative technical partner who is open to coaching feedback and continuous learning.

• Strong collaboration problem-solving and communication skills.

• Comfortable operating in agile product teams and cross-functional environments.

Hybrid

Role designation definition:

• Teleworking is working full time remote.
• Hybrid is a minimum of 2 days onsite.
• Onsite is full-time onsite.

Anchored in Connection

Our hybrid approach is designed to balance flexibility with meaningful in-person connection and collaboration. We come together in the office two days each week most teams designate at least one anchor day to ensure team interaction. These in-person moments foster relationships creativity and alignment. The rest of the week you are empowered to work remote.

$61200.00 - $79500.00 - $97800.00 Annual

Pay is based on several factors which vary based on position including skills ability and knowledge the selected individual is bringing to the specific job.

We offer a comprehensive benefits package which may include:

• Medical dental and vision insurance

• Life insurance

• 401k

• Paid Time Off (PTO)

• Volunteer Paid Time Off (VPTO)

• And more

To discover more about what we have to offer please review our benefits page.

At Blue Cross and Blue Shield of Minnesota we are committed to paving the way for everyone to achieve their healthiest life. Blue Cross of Minnesota is an Equal Opportunity Employer and maintains an Affirmative Action plan as required by Minnesota law applicable to state contractors. All qualified applications will receive consideration for employment without regard to and will not be discriminated against based on any legally protected characteristic.

Individuals with a disability who need a reasonable accommodation in order to apply please contact us at:

Blue Cross and Blue Shield of Minnesota and Blue Plus are nonprofit independent licensees of the Blue Cross and Blue Shield Association.

Physical requirements.