Microsoft Fabric Data Engineer

2020 Companies; Fort Worth (TX); Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

DailyPay

Health/Dental/Vision benefits

401K with matching

Paid Time Off

Paid Holidays

Scholarship opportunities for depend-.

Employee Assistance Program

Leadership Development Program

Job summary

2020 Companies is seeking a Data Engineer to design and implement scalable data pipelines using Microsoft Fabric, delivering analytics-ready data for client dashboards.

You will build reliable pipelines, optimize ingestion patterns, and ensure data quality across multiple clients while collaborating with BI developers and analysts in a remote, nationwide team.

Qualifications

• 2-5 years of data engineering experience.
• Strong SQL, data modeling skills, and Delta Lake experience.
• Microsoft Fabric experience — you’ve built it, not just read about it.

Responsibilities

• Build scalable client data pipelines from day one.
• Develop and maintain Fabric pipelines/notebooks for analytics and reporting.
• Design ingestion patterns for rapid onboarding of new clients.
• Engineer monitoring and observability to prevent SLA breaches and catch issues early.
• Improve data quality and reliability across datasets.

Skills

SQL

Data modeling

Delta Lake

Power BI

Agile

Tools

Microsoft Fabric

Job description

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
• 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
• 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 pr