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 notebooksImplement incremental loads, watermarking, and merge logic (Delta Lake)Design ingestion patterns that support rapid onboarding of new clientsEngineer 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 analyticsDesign reusable, scalable data structures across multiple clientsDesign data structures that don’t become someone else’s technical debtOptimize partitioning and storage for predictable performance

Optimize Power BI Performance that Clients Actually Notice

Improve Direct Lake and semantic model performance in Power BIReduce refresh times and memory usagePartner with BI developers to maintain high modeling standards

Improve Platform Efficiency That Protects Margin

Monitor Fabric capacity usage and workload patternsOptimize refresh strategies and reduce compute spikesContribute to GitHub workflow and future dbt integration roadmap

Your efforts will have a direct influence on:

Time-to-market for new client dashboardsClient satisfaction and retentionSLA performance and reporting reliabilityAnalytics 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 experienceStrong SQL and hands-on Delta Lake experienceMicrosoft Fabric experience that you’ve built, not just read aboutDimensional modeling you can defend in a design reviewPower BI semantic model optimization experienceExperience building scalable ingestion frameworksA track record in client-facing or revenue-driven analytics environmentsCritical thinking skillsExceptional communication skills, written and verbal, that translate complex technical decisions for non-technical audiencesA growth mindset, you're energized by hard problems, not slowed down by them, strong team player

Preferred

dbt experienceGitHub-based development workflows and CI/CD experienceAgile 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.