> Markdown version of [/jobs/ext/3401756-ai-data-engineer](https://www.wearedevelopers.com/jobs/ext/3401756-ai-data-engineer). 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). --- # AI Data Engineer - **Company:** Fixity Technologies - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Salary:** $110,240.0 - $110,241.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Virtualization, Database Design, Power BI, Tableau (Software), Unstructured Data, Cloud Platform System, Microsoft Power Automate, Snowflake, Apache Spark, Microsoft Fabric, Deployment Automation, AWS Data Analytics, Tools for Reporting, Data Pipelines, Powerapps - **Published:** September 10, 2026 - **Apply:** https://www.careerjet.com/jobad/us99d2e5316c3b56762767df9b1d296050 ## About the Role 5+ years of experience with data virtualization, data mesh, data fabric, and federated querying platform such as Denodo, Starburst or OSS platforms is highly desirable. 5+ Years of experience working as a Report Visualization Engineer with Power BI, Tableau, or any similar Reporting Platforms with End-to-End delivery. 3+ Year of experience with implementation of Data Modelling, Data Governance and RLS. 3+ Years of experience with Enterprise Deployment Strategies and migration of legacy platform reports to modern reporting platforms. Extract, transform, and load large volumes of structured and unstructured data from various sources into AWS data lakes or modern data platforms like Snowflake. Solid understanding of data modeling, database design, and ETL principles. Familiarity with data governance, data security, and compliance practices in cloud environments. Strong problem-solving skills and the ability to optimize and fine-tune data pipelines and Spark jobs for performance. Tableau/Power BI / Snowflake / Starburst certifications on Data related specialties are a plus. Power Platform experience (Power Apps, Power Automate) will be a plus ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [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) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [DB UX Design System – How we’ve open sourced our largest inner source project](https://www.wearedevelopers.com/videos/819-db-ux-design-system-how-we-ve-open-sourced-our-largest-inner-source-project) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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)