Microsoft Fabric Sr. Data Engineer

2020 Companies, Inc.; Southlake (TX); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

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

Employee Assistance Program

Leadership Development Program

Job summary

2020 Companies, Inc. is hiring a Sr. Data Engineer in Southlake, TX to build and optimize client-facing analytics platforms. The role requires expertise in Microsoft Fabric, Delta Lake, and SQL to ensure high-quality insights and client satisfaction.

The ideal candidate will possess strong leadership skills and the ability to communicate complex ideas effectively. We offer a competitive salary along with comprehensive health benefits and opportunities for professional development.

Qualifications

• 5-8 years of data engineering experience expected.
• Hands-on experience with Delta Lake necessary.
• Proficient in SQL and data modeling required.

Responsibilities

• Design scalable data systems across various platforms.
• Develop and maintain Microsoft Fabric pipelines.
• Ensure data accuracy and reliability for stakeholders.
• Optimize refresh strategies and drive engineering excellence.

Skills

Strong SQL

Data modeling

Delta Lake

Microsoft Fabric

Power BI optimization

Critical thinking

Leadership skills

Agile experience

Tools

Git

CI/CD

dbt (preferred)

Job description

Job Type: Regular | Location: Client Support Center - Southlake, TX 76092

Overview

We’re hiring a Sr. Data Engineer to build and scale a client-facing analytics platform that directly drives revenue and executive decision-making. You’ll develop Microsoft Fabric pipelines, design lake house models, and optimize Power BI performance to deliver fast, reliable insights. This role is highly visible and impact-driven, with direct influence on client satisfaction, retention, and growth. Ideal candidates bring strong SQL, Delta Lake, and Fabric experience, along with the ability to communicate complex ideas clearly. We're scaling fast, and we need an engineer who thinks in systems, communicates clearly, and treats client SLAs as non-negotiable.

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

Responsibilities

• Design scalable data systems, defining and evolving architecture across pipelines, lake house, and semantic layers.
• Design ingestion frameworks for monitoring, observability, scalability, and reuse.
• Make architectural decisions under constraints (cost, SLA, scale) while avoiding technical debt.
• Develop and maintain high‑quality, reliable Microsoft Fabric pipelines and notebooks that directly support analytics and reporting.
• Ensure that data is accurate, timely, reliable, and trusted by stakeholders, catching problems before clients do.
• Optimize refresh strategies and reduce compute spikes.
• Lead data modeling standards, designing advanced dimensional models for multi‑client scalability.
• Defend modeling decisions in design reviews.
• Ensure consistency and reuse across the platform.
• Drive engineering excellence by acting as a role model for SDLC practices (Git, CI/CD, testing).
• Establish and enforce engineering standards.
• Improve development workflows and team efficiency.
• Deliver work iteratively with high quality and predictability.
• Ship frequently in small batch sizes.
• Lead through communication and influence, translating complex technical concepts for non‑technical stakeholders.
• Align engineering, BI, and business teams.
• Mentor team members and elevate team performance.
• Do light documentation to build institutional memory.
• Own platform outcomes, ensuring SLA reliability, performance, and scalability.
• Proactively identify and mitigate risks.

Qualifications

• 5-8 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 expertise.
• Track record of building scalable ingestion frameworks.
• 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 leadership skills and exceptional communication skills, written and verbal, translating complex technical decisions for non‑technical audiences.
• Experience working in agile environments using features and user stories.
• Growth mindset – you’re energized by hard problems, not slowed down by them, a strong team player.
• Agile mindset and development experience with GitHub-based workflows and CI/CD.
• Preferred: dbt experience.

EEO Statement

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.