Remote Microsoft Fabric Data Engineer — Scale BI Pipelines

2020 Companies; United States; Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health/Dental/Vision benefits

401K with matching

Paid Time Off

Paid Holidays

Scholarship opportunities

Employee Assistance Program

Leadership Development Program

Next-day pay with DailyPay

Job summary

2020 Companies is hiring a Microsoft Fabric Data Engineer to build scalable data pipelines and analytics for client dashboards. You will own end-to-end pipeline design, data modeling, and BI readiness to deliver reliable data models and fast Power BI experiences for executive dashboards.

You’ll collaborate across teams, uphold SLAs, and advocate for data quality and performance in a fast-growing analytics practice. Remote work and CST-aligned hours apply.

Qualifications

• 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 data-informed decisions.
• Strong collaboration and teamwork skills, exceptional communication, written and verbal.
• Experience working in agile environments using features and user stories.
• A growth mindset — you’re energized by hard problems, not slowed down by them.

Responsibilities

• 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.
• 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.

Skills

SQL

Data Modeling

Delta Lake

Microsoft Fabric

Power BI

Ingestion Pipelines

Client-facing analytics

Agile practices

Critical thinking

Team collaboration

Tools

dbt

GitHub CI/CD

Job description

2020 Companies is hiring a Microsoft Fabric Data Engineer to build scalable data pipelines and analytics for client dashboards. You will own end-to-end pipeline design, data modeling, and BI readiness to deliver reliable data models and fast Power BI experiences for executive dashboards.

You’ll collaborate across teams, uphold SLAs, and advocate for data quality and performance in a fast-growing analytics practice. Remote work and CST-aligned hours apply.