Data Engineer, Microsoft Fabric

2020 Companies

. Develop and maintain reliable Microsoft Fabric pipelines and notebooks for analytics and reporting .

Posted 10/14/2026full-timeRemote • Texas • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining Microsoft Fabric pipelines and notebooks, ensuring data quality and reliability while optimizing performance for analytics and reporting. Proficient in SQL, data modeling, and implementing scalable ingestion frameworks in client-facing environments.

Highest-signal resume keywords

Microsoft Fabric ExperienceSQL ProficiencyData Modeling ExpertisePower BI OptimizationAgile Development Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringDimensional ModelingDelta Lake ExperienceIncremental Loads ImplementationMonitoring and Observability EngineeringBronze/Silver/Gold Medallion ArchitectureData Quality AssuranceScalable Ingestion FrameworksPerformance OptimizationGit and CI/CD Practices

Soft Skills

Critical ThinkingCollaborationTeamworkWritten CommunicationVerbal Communication

Tools & Technologies

Microsoft FabricPower BIGitHubDbt

Industry Keywords

Client-Facing AnalyticsRevenue-Driven AnalyticsAgile MethodologiesData-Informed Decision Making

Tech Stack

Tools & technologies

SDLCSQL

About the role

Key responsibilities & impact

Develop and maintain reliable Microsoft Fabric pipelines and notebooks for analytics and reporting
Implement incremental loads, watermarking, and merging logic
Design ingestion patterns for rapid onboarding of new clients
Engineer monitoring and observability to prevent SLA breaches
Ensure data quality and reliability across datasets
Implement Bronze/Silver/Gold Medallion architecture
Design dimensional models for revenue-focused analytics
Design reusable, scalable data structures across multiple clients
Optimize partitioning and storage for predictable performance
Improve Direct Lake and Power BI semantic model performance
Reduce refresh times and memory usage
Collaborate with BI developers to maintain modeling standards
Monitor Fabric capacity usage and workload patterns
Optimize refresh strategies and reduce compute spikes
Contribute to GitHub workflow and future dbt integration roadmap
Collaborate with BI developers, analysts, and stakeholders
Translate requirements into features and user stories
Participate in agile ceremonies
Explain technical decisions and obtain prioritization and approval before execution
Create lightweight documentation
Follow SDLC practices, including Git, CI/CD, and code reviews
Deliver iteratively with high quality and predictability
Ship frequently in small batch sizes

Requirements

What you’ll need

2–5 years of data engineering experience
Strong SQL, data modeling, and hands-on Delta Lake experience
Microsoft Fabric experience
Dimensional modeling experience
Power BI semantic model optimization experience
Experience building scalable ingestion frameworks
Track record in client-facing or revenue-driven analytics environments
Critical thinking and data-informed decision-making skills
Strong collaboration and teamwork skills
Exceptional written and verbal communication skills
Experience working in agile environments using features and user stories
Applicants must be authorized to work in the United States full-time without current or future visa sponsorship
Preferred: dbt experience
Preferred: GitHub-based development workflows and CI/CD experience
Preferred: Agile mindset and development experience

Benefits

Comp & perks

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
Personal development opportunities
Professional stretch assignments
Long-term career pathing options