Microsoft Fabric Sr. Data Engineer
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Job Description
Job Type: Regular Work Location: Microsoft 8012 - Chicago, IL 60611 Overview: We’re hiring a Data Engineer to build and scale a client-facing analytics platform that directly drives revenue and executive decision-making. You’ll develop Microsoft Fabric pipelines, design lake house models, and optimize Power BI performance to deliver fast, reliable insights. This role is highly visible and impact-driven, with direct influence on client satisfaction, retention, and growth. Ideal candidates bring strong SQL, Delta Lake, and Fabric experience, along with the ability to communicate complex ideas clearly. We're scaling fast, and we need an engineer who thinks in systems, communicates clearly, and treats client SLAs as non-negotiable. What We Offer Competitive salary, paid weekly Next day pay on demand with DailyPay Health/Dental/Vision benefits 401K Program with matching Paid Time Off Paid Holidays Scholarship opportunities for employees and direct family members Employee Assistance Program Leadership Development Program Job Description: Build Scalable Client Data Pipelines for scale from day one Develop and maintain Microsoft Fabric pipelines and notebooks Implement incremental loads, watermarking, and merge logic (Delta Lake) Design ingestion patterns that support rapid onboarding of new clients Engineer monitoring and observability to prevent SLA breaches while catching problems before clients do Design Lakehouse Models for Growth Implement Medallion architecture (Bronze/Silver/Gold) Build dimensional models for revenue-focused analytics 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 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 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 This is a role where engineering decisions influence real revenue outcomes. Qualifications Required 4–7 years of data engineering experience Strong SQL and hands-on Delta Lake experience Microsoft Fabric experience that you’ve built, not just read about 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 Critical thinking skills Exceptional communication skills, written and verbal, that translate complex technical decisions for non-technical audiences 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 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 architectural standards and platform strategy. 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. Growth Opportunity As our client base grows, this role will assume greater responsibility for shaping architectural standards and platform scalability decisions. You'll report directly to the Director of Analytics & BI. We are a small, senior team, which means less bureaucracy, more ownership, and your work is visible immediately. If you’re excited about building a scalable data platform that directly drives client success and revenue growth, we’d love to talk. What You Can Expect From 2020 Companies 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. 2020’s Commitment We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity. WHO WE ARE 2020 Companies is one of the premier outsourced sales and marketing agencies in the United States. Over the past 31 years, our success has resulted from our relentless passion for elevating consumers, team members, and clients. WHAT WE DO Whether launching new products, penetrating new consumer segments, or executing sales and marketing strategies, we can help you reach your business goals. 2020 Companies identifies the opportunities in every challenge and works side-by-side with brands to guarantee success. Each year we deliver over 25 million in-person impressions, and we generate nearly $10 billion in client revenue. Our initiatives deliver a better return on investment for clients and retailers alike. WHERE WE DO IT We train our staff to succeed in any environment and every situation. We equip them with the experience and flexibility to help build brands and exceed goals. From the top of the Fortune 500 to smaller companies ready to expand their market share, 2020 Companies partners with clients of all sizes. HOW DO WE DO IT To guarantee the best team, we recruit, train, and deploy people who meet the exact needs of our clients’ businesses. Teamwork is the foundation of our AMPLIFY training program. We train team members to build relationships with each other, retailers, and consumers. Our blended learning environment inspires team members to be flexible, engaging, and adept at solving problems. We have never missed a launch. 2020 Companies is built on scalable infrastructure, industry-leading speed to market, and benchmark-breaking results. To meet our clients’ goals and deadlines, we recruit, train, staff, and manage the right team for every project. We tailor our initiatives to meet their goals and scale the staff to fit the size and deployment timetable they need. WHAT YOU CAN EXPECT FROM 2020 COMPANIES 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 continually 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. 2020 COMPANIES’ COMMITMENT We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.
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