Fabric Data Engineer — Revenue Analytics & Dashboards

2020 Companies; Atlanta, Northern (GA, KY); Hybrid; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Weekly pay

Next day pay

Health benefits

401K

Paid Time Off

Paid Holidays

Scholarship opportunities

Employee Assistance Program

Leadership Development Program

Job summary

2020 Companies in Atlanta, GA, is seeking a Data Engineer to build scalable client data pipelines using Microsoft Fabric. You will design and maintain reliable Fabric pipelines and notebooks for analytics, implement incremental loads, and ensure data quality across client datasets.

You will collaborate with BI developers and analysts, translate requirements into features, and contribute to CI/CD practices while delivering value in a fast-paced, client-focused environment.

Qualifications

• 2–5 years of data engineering experience.
• Strong SQL, data modeling, and Delta Lake experience.
• Microsoft Fabric experience – hands-on, not just reading.

Responsibilities

• Build scalable client data pipelines using Microsoft Fabric.
• Develop and maintain Fabric pipelines/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 meet SLAs.
• Ensure data quality and reliability across datasets.
• Deliver high-quality data models (Bronze/Silver/Gold) for revenue analytics.
• Design dimensional models for reporting and analytics needs.
• Create reusable, scalable data structures across clients.

Skills

SQL

Data modeling

Delta Lake

Microsoft Fabric

Power BI

Ingestion frameworks

Client-facing analytics

Agile

GitHub CI/CD

Collaboration

Tools

GitHub

dbt

CI/CD

Job description

2020 Companies in Atlanta, GA, is seeking a Data Engineer to build scalable client data pipelines using Microsoft Fabric. You will design and maintain reliable Fabric pipelines and notebooks for analytics, implement incremental loads, and ensure data quality across client datasets.

You will collaborate with BI developers and analysts, translate requirements into features, and contribute to CI/CD practices while delivering value in a fast-paced, client-focused environment.