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About the Role
2020 Companies is seeking a Microsoft Fabric Data Engineer to build the engine behind client revenue. You will engineer dashboards that drive executive decisions, surface revenue opportunities, and set the standard for client data expectations. This role requires an engineer who thinks in systems, communicates with clarity, and treats client SLAs as non-negotiable.
Responsibilities
- Build scalable client data pipelines from day one.
- Develop and maintain high-quality, reliable Microsoft Fabric pipelines and notebooks for analytics and reporting.
- Implement incremental loads, watermarking, and merging logic.
- Design ingestion patterns for rapid client onboarding.
- Engineer monitoring and observability to prevent SLA breaches and proactively catch problems.
- Ensure data quality and reliability across datasets.
- Implement Medallion architecture (Bronze/Silver/Gold).
- Design and implement dimensional models for revenue-focused analytics.
- Design reusable, scalable data structures across multiple clients.
- Design data structures that avoid creating technical debt.
- Optimize partitioning and storage for predictable performance.
- Maintain consistency and usability across datasets.
- Improve Direct Lake and semantic model performance in Power BI.
- Reduce Power BI refresh times and memory usage.
- Partner with BI developers to maintain high 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 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.
- Perform light documentation to build institutional memory.
- Follow SDLC practices, including Git, CI/CD, and code reviews.
- Deliver work iteratively with high quality and predictability.
- Ship frequently in small batch sizes.
Requirements
- 2–5 years of data engineering experience.
- Strong SQL, data modeling, and hands-on Delta Lake experience.
- Microsoft Fabric experience.
- Dimensional modeling experience that can be defended 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.
- Ability to use critical thinking to break down ambiguous problems, evaluate tradeoffs, and make 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 — energized by hard problems, not slowed down by them.
- Strong team player.
- Applicants must be authorized to work in the United States full-time without current or future visa sponsorship.
Skills
- SQL
- Data Modeling
- Delta Lake
- Microsoft Fabric
- Dimensional Modeling
- Power BI Semantic Model Optimization
- Scalable Ingestion Frameworks
- dbt
- GitHub
- CI/CD
- Agile
Location
- Remote - TX - DFW
- Anywhere nationwide
Work Type
- Remote
- Regular
- Full-time
Experience Level
- 2–5 years
Salary/Compensations
- Competitive salary, paid weekly
Benefits
- 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
About the Company
- 2020 Companies is committed to creating a diverse and inclusive organization.
- 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.
Equal Opportunity
- 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.