> Markdown version of [/jobs/ext/2165760-data-governance-engineer-minneapolis-mn-hybrid-3-days-onsite](https://www.wearedevelopers.com/jobs/ext/2165760-data-governance-engineer-minneapolis-mn-hybrid-3-days-onsite). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Governance Engineer, Minneapolis, MN - Hybrid, 3 days onsite - **Company:** Tror AI for everyone - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Salary:** $86,200.0 - $111,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Big Data, Information Systems, Data Governance, Data Security, Data Warehousing, Identity and Access Management, Python (Programming Language), Metadata, Scrum Methodology, Tokenization, Privacy Controls, Data Lineage, AWS Glue, Data Management, Restful APIs, Azure Synapse Analytics - **Published:** August 21, 2026 - **Apply:** https://www.careerjet.com/jobad/usddbaa5ef97f0acb6b800826d1883620d ## About the Role Must-Have Skills 8+ years of relevant experience. 2+ years specifically in Data Governance, Data Security, Data Privacy, or Data Quality. Strong experience creating data governance policies, standards, frameworks, and security controls. Strong knowledge of data privacy, classification, masking, de-identification, and tokenization. Hands-on Alation and AWS Glue Data Catalog experience. Strong Python + REST API experience. AWS experience with S3, Glue, Lambda, Athena, Step Functions, and Redshift. Knowledge of data lineage, metadata, data quality, stewardship, and access governance. Strong understanding of security, privacy, and compliance. Good to Have Healthcare / Health Insurance experience. Bachelor's degree in CS, Information Systems, Data Management, or related field. Agile/Scrum experience. Airflow and modern data warehouse/big-data experience. Ideal Candidate We need candidates who can clearly explain: I have created data governance policies, security controls, privacy standards, and governance frameworks not just maintained an existing catalog or governance platform. ## Description This is primarily a Data Governance, Data Security, Privacy & Compliance role. We are looking for someone who has strong hands-on experience creating and implementing data governance policies, security standards, controls, and frameworks ideally building them from the ground up. This is not mainly a data catalog or data management support role. Candidates should have strong exposure to data policies, security, privacy, compliance, classification, access controls, and governance frameworks., Create and implement data governance policies, standards, frameworks, and controls. Establish governance processes for data quality, metadata, lineage, stewardship, classification, and access. Develop data security and privacy solutions, including masking, de-identification, and tokenization. Work with Alation and AWS Glue Data Catalog for metadata, cataloging, lineage, and governance. Use Python and REST APIs to automate governance processes. Monitor data quality and governance controls and fix identified gaps. Perform data governance, security, and compliance assessments/audits. Work closely with Security, Compliance, Data, Engineering, and Business teams. Build and improve governance solutions from prototype to production., We are looking for an experienced Principal Data Engineer to work hands-on on the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role … + 2 days ago ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Tips, Techniques, and Common Pitfalls Debugging Kafka](https://www.wearedevelopers.com/videos/838-tips-techniques-and-common-pitfalls-debugging-kafka) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)