Microsoft Fabric Data Engineer

2020 Companies, Inc.; Austin (TX); Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

DailyPay

Health benefits

Dental benefits

Vision benefits

401K with matching

Paid time off

Paid holidays

Scholarship opportunities

Employee Assistance Program

Leadership Development Program

Job summary

2020 Companies, Inc. is seeking a Microsoft Fabric Data Engineer to build scalable client data pipelines and keep data reliable for analytics and dashboards. You will implement incremental loads, model designs, and robust ingestion patterns that scale with a growing client base.

The role emphasizes collaboration with BI developers and analysts, adherence to SDLC practices, and delivering high-quality data solutions that drive revenue outcomes.

Qualifications

• 2–5 years of data engineering experience.
• Strong SQL, data modeling, and 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.
• Track record in client-facing or revenue-driven analytics environments.
• Experience with Agile methodologies and user stories.
• Excellent communication and collaboration skills, able to translate complex decisions.

Responsibilities

• Build Scalable Client Data Pipelines for-scale from day one.
• Develop and maintain high-quality Microsoft Fabric pipelines/notebooks for analytics and reporting.
• Implement incremental loads, watermarking, and merging logic.
• Design ingestion patterns for rapid onboarding of new clients.
• Monitor observability to prevent SLA breaches and catch issues early.
• Ensure data quality and reliability across datasets.

Skills

SQL

Data modeling

Delta Lake

Microsoft Fabric

Dimensional modeling

Power BI

Ingestion frameworks

Agile

Communication

GitHub/CI-CD

dbt

Tools

GitHub

CI/CD

dbt

Power BI

Job description

Job Type:RegularWork Location:Remote - TX - DFWOverview:2020 Companies is now hiring a Microsoft Fabric Data EngineerYou'll Build the Engine Behind Client RevenueMost 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 remotelySchedule: Must work hours in the Central Time ZoneWork Authorization: Applicants must be authorized to work in the United States full-time without current or future visa sponsorship.What We OfferCompetitive salary, paid weeklyNext-day pay on demand with DailyPayHealth/Dental/Vision benefits401K Program with matchingPaid Time OffPaid HolidaysScholarship opportunities for employees and direct family membersEmployee Assistance ProgramLeadership Development ProgramJob Description:Build Scalable Client Data Pipelines for scale from day oneDevelop and maintain high-quality, reliable Microsoft Fabric pipelines and notebooks that directly support analytics and reportingImplement incremental loads, watermarking, and merging logicDesign ingestion patterns that support rapid onboarding of new clientsEngineer monitoring and observability to prevent SLA breaches while catching problems before clients doEnsure data quality and reliability across datasetsYour work ensures that data is accurate, timely, and trusted by stakeholdersDeliver High-Quality Data Models for growthImplement Medallion architecture (Bronze/Silver/Gold)Design and implement dimensional models for revenue-focused analytics that meet reporting and analytics needsDesign reusable, scalable data structures across multiple clientsDesign data structures that don’t become someone else’s technical debtOptimize partitioning and storage for predictable performanceMaintain consistency and usability across datasetsOptimize Power BI Performance that Clients Actually NoticeImprove Direct Lake and semantic model performance in Power BIReduce refresh times and memory usagePartner with BI developers to maintain high modeling standardsImprove Platform Efficiency That Protects MarginMonitor Fabric capacity usage and workload patternsOptimize refresh strategies and reduce compute spikesContribute to GitHub workflow and future dbt integration roadmapCollaborate Across TeamsWork closely with BI developers, analysts, and stakeholdersTranslate requirements into well-defined features and user storiesParticipate actively in agile ceremoniesExplain technical decisions, obtain prioritization and approval before executionDo light documentation to build institutional memoryExecute with ExcellenceFollow SDLC practices, including Git, CI/CD, and code reviewsDeliver work iteratively with high quality and predictabilityShip frequently in small batch sizesStandout FactorsThis 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 dashboardsClient satisfaction and retentionSLA performance and reporting reliabilityAnalytics delivery margins through efficient capacity useThis is a role where engineering decisions influence real revenue outcomes.QualificationsRequired2–5 years of data engineering experienceStrong SQL, data modeling, and hands-on Delta Lake experienceMicrosoft Fabric experience – you’ve built it, not just read about itDimensional modeling you can defend in a design reviewPower BI semantic model optimization experienceExperience building scalable ingestion frameworksA track record in client-facing or revenue-driven analytics environmentsUses critical thinking to break down ambiguous problems, evaluates tradeoffs, and makes sound, data-informed decisions that balance performance, scalability, and business impactStrong collaboration and teamwork skills, exceptional communication skills, written and verbal, that translate complex technical decisions for non-technical audiencesExperience working in agile environments using features and user storiesA growth mindset — you're energized by hard problems, not slowed down by them, strong team playerPreferreddbt experienceGitHub-based development workflows and CI/CD experienceAgile mindset and development experienceRole ImpactYou 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 CompaniesWe 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 CommitmentWe 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.