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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Microsoft Fabric Data Engineer - **Company:** 2020 Companies - **Location:** Atlanta, GA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Data Analysis, Business Intelligence Development, Code Review, Continuous Integration, Information Engineering, Data Structures, Dimensional Modeling, Github, Systems Development Life Cycle, Power BI, Standard Sql, Technical Debt, Git, Microsoft Fabric, Data Lakes, Data Pipelines - **Published:** August 13, 2026 - **Apply:** https://2020companies.wd1.myworkdayjobs.com/External_Careers/job/Atlanta-GA/Microsoft-Fabric-Data-Engineer_REQ_110372-1 ## About the Role Required * 2-5 years of data engineering experience * Strong SQL, data modeling, and hands-on Delta Lake experience * Microsoft Fabric experience - you've built it, not just read about it * Dimensional modeling you can defend in a design review * Power BI semantic model optimization experience * Experience building scalable ingestion frameworks * A track record in client-facing or revenue-driven analytics environments * Uses critical thinking to break down ambiguous problems, evaluates tradeoffs, and makes sound, data-informed decisions that balance performance, scalability, and business impact * Strong collaboration and teamwork skills, exceptional communication skills, written and verbal, that translate complex technical decisions for non-technical audiences * Experience working in agile environments using features and user stories * A growth mindset - you're energized by hard problems, not slowed down by them, strong team player Preferred * dbt experience * GitHub-based development workflows and CI/CD experience * Agile mindset and development experience Role Impact You design for scale before scale is a problem. You write documentation people actually read. You understand that a slow dashboard isn't just a technical issue, it's a client relationship issue. And you're the kind of engineer who flags risks before they become incidents. ## Description Build Scalable Client Data Pipelines for scale from day one * Develop and maintain high-quality, reliable Microsoft Fabric pipelines and notebooks that directly support analytics and reporting * Implement incremental loads, watermarking, and merging logic * Design ingestion patterns that support rapid onboarding of new clients * Engineer monitoring and observability to prevent SLA breaches while catching problems before clients do * Ensure data quality and reliability across datasets * Your work ensures that data is accurate, timely, and trusted by stakeholders Deliver High-Quality Data Models for growth * Implement Medallion architecture (Bronze/Silver/Gold) * Design and implement dimensional models for revenue-focused analytics that meet reporting and analytics needs * Design reusable, scalable data structures across multiple clients * Design data structures that don't become someone else's technical debt * Optimize partitioning and storage for predictable performance * Maintain consistency and usability across datasets Optimize Power BI Performance that Clients Actually Notice * Improve Direct Lake and semantic model performance in Power BI * Reduce refresh times and memory usage * Partner with BI developers to maintain high modeling standards Improve Platform Efficiency That Protects Margin * Monitor Fabric capacity usage and workload patterns * Optimize refresh strategies and reduce compute spikes * Contribute to GitHub workflow and future dbt integration roadmap Collaborate Across Teams * Work closely with BI developers, analysts, and stakeholders * Translate requirements into well-defined features and user stories * Participate actively in agile ceremonies * Explain technical decisions, obtain prioritization and approval before execution * Do light documentation to build institutional memory Execute with Excellence * Follow SDLC practices, including Git, CI/CD, and code reviews * Deliver work iteratively with high quality and predictability * Ship frequently in small batch sizes Standout Factors This isn't a maintenance role or a "keep the lights on" position. You'll be shaping architecture in a platform that's still being built - which means your opinions matter, your patterns get adopted, and your fingerprints end up on something that scales. As the client base grows, so does the scope. The engineer who steps into this role has a clear path toward owning the Fabric architectural standards and platform strategy. Your efforts will have a direct influence on: * Time-to-market for new client dashboards * Client satisfaction and retention * SLA performance and reporting reliability * Analytics delivery margins through efficient capacity use, We welcome every voice, and we are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We are always identifying opportunities to encourage our team to be their authentic selves, while working to provide a best-in-class experience for our employees. Whether that's paid holidays, long-term career pathing options, personal development opportunities or professional stretch assignments, you can expect 2020 Companies to support you. ## Related Videos - [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) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [Dev Digest 159: AI Pipelines, 10x Faster TypeScript, How to Interview](https://www.wearedevelopers.com/magazine/563-dev-digest-159-ai-pipelines-10x-faster-typescript-how-to-interview)