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MS Fabric Data Engineer - Hybrid

Genesis10Charlotte, NC🇺🇸United StatesPosted 7 Aug 2026

Quick Overview

Salary
$61/hr
Work Type
Hybrid
Level
Mid Senior

Job Description

Genesis10 is currently seeking a MS Fabric Data Engineer position with a Global Financial Institution located in Charlotte, NC. This is a hybrid 12+ month contract opportunity.

This role involves developing scripts, processes, and tools to ingest, transform, and deliver data in a Microsoft Fabric environment to support analytics and reporting needs. The ideal candidate will design, build, and maintain the scalable lakehouse architecture and end-to-end data pipelines.

Responsibilities:
  • Design, build, and maintain scalable lakehouse architecture in Microsoft Fabric and OneLake
  • Ensure high availability, reliability, and performance of data platforms
  • Build and maintain end-to-end data pipelines for ingestion, transformation, and serving
  • Develop scalable ingestion frameworks for batch and real-time sources (APIs, databases, event streams)
  • Integrate enterprise systems (Jira, ERP, CRM, flat files, streaming sources)
  • Develop and execute large-scale Spark jobs (batch and streaming)
  • Author and maintain notebooks (PySpark, SQL) for transformation and analysis
  • Implement data cleansing, enrichment, and transformation logic
  • Build ingestion logic for structured, semi-structured, and unstructured data
  • Implement data validation and quality controls
  • Deliver analytics-ready datasets for Power BI and downstream consumption

Requirements:
  • Experience with Microsoft Fabric (Lakehouse, OneLake, Pipelines, Notebooks)
  • Proficiency with Apache Spark (PySpark, Spark SQL)
  • Strong SQL skills
  • Experience with Python
  • Knowledge of Delta Lake / Delta Tables
  • Experience with Data Pipeline Design (ETL / ELT)
  • Experience with API & Streaming Data Integration
  • Mid-level experience (5-7 years)

Pay range:up to $61.20 per hour

Only candidates available and ready to work directly as Genesis10 employees will be considered for this position.

If you have the described qualifications and are interested in this exciting opportunity, please apply!

Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.

For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:
  • Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years.
  • The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
  • Access to an experienced, caring recruiting team (more than 7 years of experience, on average.)
  • Behavioral Health Platform
  • Medical, Dental, Vision
  • Health Savings Account
  • Voluntary Hospital Indemnity (Critical Illness & Accident)
  • Voluntary Term Life Insurance
  • 401K
  • Sick Pay (for applicable states/municipalities)
  • Commuter Benefits (Dallas, NYC, SF, and Illinois)

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.

Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Skills

SQL
ETL
Apache
Apache Spark
Data Pipeline
Jira
Power BI
Python

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