Data Governance Engineer

Minneapolis, MN, US • Posted 8 hours ago • Updated 3 hours ago
Contract Corp To Corp
Contract W2
75% Travel Required
On-site
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Dice Job Match Score™

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Job Details

Skills

  • Data Lineage
  • Data Pipelines
  • Governance
  • Data Quality
  • Data Governance
  • Data Management
  • Agile Methodology
  • Automation of Tests
  • Stakeholder Management
  • Problem Solving
  • Amazon Web Services
  • Communication Skills
  • Python (Programming Language)
  • Safety Principles
  • Information Technology
  • Extract Transform Load (ETL)
  • Information Engineering
  • Data Validation
  • Amazon S3
  • Scrum Methodology
  • Api Management
  • Information Systems
  • Health Care
  • Airflow
  • Data Security
  • Meta-Data Management
  • Regulatory Requirements
  • Auditing Skills
  • Records Management
  • AWS Glue
  • Data Masking
  • Amazon Redshift
  • Data Cleansing
  • AWS Lambda
  • Cloud Database
  • Quality Control
  • Corporate Governance

Summary

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91135853
  • Position Id: 2026-625
  • Posted 8 hours ago

Company Info

About Tror

TROR is an artificial intelligence consultancy specializing in developing powerful and customized Al solutions for business. With top Al Experts we take pride in providing the best cutting-edge Al consultancy. Our years of experience in various industries helps us to develop and implement bespoke Al solutions for businesses. Our on demand Al products have helped over 100 companies drive transformational results.

The solutions we bring on your table meet the highest industry standards and quality, effectively and efficiently resolving your issues and optimizing the way you want to move forward in the market. Through our customer centric approach, we ensure that we are always there for our valuable customers by offering them satisfactory solutions for guaranteed results. 

 

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