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Skills mentionedPower BIdbtCI/CDSQL
Job Type: Regular
Work Location: Remote - TX - DFW
Overview
2020 Companies is now hiring a Microsoft Fabric Data Engineer
You'll Build the Engine Behind Client Revenue
Most data engineers build internal tools. You'll build something that shows up directly in a client's boardroom.
Our Microsoft Fabric platform is the backbone of a growing Analytics & BI practice — one where the dashboards you engineer drive executive decisions, surface revenue opportunities, and set the standard for what our clients expect from data. When you optimize a pipeline or redesign a semantic model, the impact isn't abstract. It shows up in renewal conversations and client satisfaction scores.
We're scaling fast, and we need an engineer who thinks in systems, communicates with clarity, and treats client SLAs the way others treat deadlines — as non-negotiable.
Location: Anywhere nationwide; work remotely
Schedule: Must work hours in the Central Time Zone
Work Authorization: Applicants must be authorized to work in the United States full-time without current or future visa sponsorship.
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 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
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
This is a role where engineering decisions influence real revenue outcomes.
Qualifications
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.
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.
Equal opportunity and legal
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.
