Data Governance Engineer

Job Title: Data Governance Engineer
Location: Minneapolis, MN (Hybrid 3 Days Onsite)
Duration: Long-Term Contract Job Summary

We are looking for an experienced Data Governance Engineer with 7+ years of experience in Data Engineering, Data Governance, or related fields. The ideal candidate will have strong expertise in AWS, Python, ETL/ELT, Data Quality, Security, and Governance Frameworks. This role focuses on building secure, scalable, and reliable data governance solutions while improving enterprise data quality, compliance, and accessibility.

Required Experience

• 7+ years of experience in Data Engineering, Data Governance, or related fields
• Hands-on experience with Data Quality and Governance solutions
• Strong AWS cloud experience
• Experience building ETL/ELT pipelines
• Experience working in Agile/Scrum environments

Must-Have Skills

• AWS Glue
• AWS Lambda
• Amazon S3
• Amazon Athena
• AWS Step Functions
• Amazon Redshift
• Python
• ETL/ELT Pipelines
• Apache Airflow
• Data Governance
• Data Quality
• Data Stewardship
• Data Security
• Data Masking & De-identification
• Data Lineage
• API Integration
• Cloud Data Integration
• Agile/Scrum

Key Responsibilities

• Design, develop, and maintain enterprise Data Governance solutions.
• Build and support API integrations with AWS services.
• Develop data quality frameworks and governance solutions.
• Establish and maintain enterprise data governance standards, policies, and procedures.
• Support data stewardship and governance initiatives across business teams.
• Implement data security, masking, and de-identification solutions.
• Manage data validation, automated testing, and quality monitoring.
• Maintain data lineage and metadata management.
• Support compliance, governance audits, and regulatory requirements.
• Develop scalable cloud-based data integration solutions.
• Collaborate with business stakeholders, technology teams, and external vendors.
• Troubleshoot data governance and data quality issues.
• Support enterprise-wide data management initiatives.
• Work closely with Agile teams to deliver scalable data solutions.

Required Technologies

• AWS Glue
• AWS Lambda
• Amazon S3
• Amazon Athena
• AWS Step Functions
• Amazon Redshift
• Python
• Apache Airflow
• ETL/ELT
• REST APIs
• Data Governance Frameworks
• Data Quality Tools
• Data Lineage
• Data Masking
• De-identification
• Cloud Data Integration

Preferred Skills

• Healthcare or Health Insurance industry experience
• Experience with enterprise governance platforms
• Strong understanding of compliance and regulatory standards
• Metadata Management
• Data Catalog solutions
• Excellent communication and stakeholder management skills
• Strong analytical and problem-solving skills

Education

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (preferred)

Ideal Candidate

The ideal candidate will have:

• 7+ years of experience in Data Engineering or Data Governance
• Strong AWS cloud experience (Glue, Lambda, S3, Athena, Step Functions, Redshift)
• Hands-on experience with Python, Airflow, and ETL/ELT pipelines
• Expertise in Data Quality, Data Governance, and Data Security
• Experience with Data Masking, De-identification, and Data Lineage
• Strong communication and stakeholder management skills
• Experience working in Agile/Scrum environments
• Healthcare or Health Insurance domain experience is highly preferred