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Microsoft Fabric Data Engineer

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Remote — work setting source
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
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to work in the USApplicants must be authorized to work in the United States full-time without current or future visa sponsorship

What you’ll work on

Full posting
  • Build incremental loads and ingestion patterns for onboarding new clients

  • Design dimensional models in a Medallion (Bronze/Silver/Gold) architecture

  • Add monitoring to prevent SLA breaches and catch data problems early

  • Improve Direct Lake and Power BI semantic model performance

  • Monitor Fabric capacity usage and optimize refresh strategies

From the employer’s posting
Implement incremental loads, watermarking, and merging logic
Implement Medallion architecture (Bronze/Silver/Gold)
Engineer monitoring and observability to prevent SLA breaches while catching problems before clients do
Improve Direct Lake and semantic model performance in Power BI
Monitor Fabric capacity usage and workload patterns

What you’ll bring

All qualifications

Core experience

  • 2–5 years of data engineering experience
  • Hands-on Microsoft Fabric experience
  • Strong SQL, data modeling, and Delta Lake experience
  • Power BI semantic model optimization experience
  • Experience building scalable ingestion frameworks
Qualification wording
2–5 years of data engineering experience
Microsoft Fabric experience – you’ve built it, not just read about it
Strong SQL, data modeling, and hands-on Delta Lake experience
Power BI semantic model optimization experience
Experience building scalable ingestion frameworks

Benefits in the posting

Full benefits wording
  • 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
  • Job Description:
  • Design ingestion patterns that support rapid onboarding of new clients
  • Reduce refresh times and memory usage
  • Contribute to GitHub workflow and future dbt integration roadmap
  • Participate actively in agile ceremonies
  • Do light documentation to build institutional memory
  • Execute with Excellence
  • Ship frequently in small batch sizes
  • Standout Factors
  • 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

From the employer’s posting.

Apply at 2020companies

Posting record

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Status in our records
Live
First seen by us
Oct 16, 202619 days ago
Recorded sightings
34
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 19

Similar jobs usually come down between day 6 and day 54.

At 2020companies, jobs usually come down by about day 18.

From 11,115 similar postings that came down, and 7 of 2020companies’s. Coming down is not always a hire.

2020companies is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down quickly
  • 20% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • dbt
  • Delta Lake
  • Power BI
Where the posting names them
- 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
- Optimize refresh strategies and reduce compute spikes - Contribute to GitHub workflow and future dbt integration roadmap Collaborate Across Teams
Preferred - dbt experience - GitHub-based development workflows and CI/CD experience
- Maintain consistency and usability across datasets Optimize Power BI Performance that Clients Actually Notice - Improve Direct Lake and semantic model performance in Power BI
Optimize Power BI Performance that Clients Actually Notice - Improve Direct Lake and semantic model performance in Power BI - Reduce refresh times and memory usage
- Dimensional modeling you can defend in a design review - Power BI semantic model optimization experience - Experience building scalable ingestion frameworks

Your next step

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Already applied? Track this application

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 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.

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.

Source details

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Pay

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Location & working pattern

Fort Worth, TX

Work Location: Remote - TX - DFW Overview:
Work authorization
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

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