Data Governance Engineer

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. This role focuses on building secure, scalable, and reliable data governance solutions while improving enterprise data quality, compliance, and accessibility.

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