Microsoft Fabric Data Engineer #3621727

Axiom-Path; Charlotte (NC); Hybrid; USD 100,000 - 130,000; Full time

Job summary

Axiom-Path is looking for an experienced Data Engineer to join their hybrid team based in Charlotte, NC. This role focuses on designing and maintaining scalable lakehouse architectures using Microsoft Fabric, along with developing data ingestion and transformation processes.

The ideal candidate should have 5-7 years of experience in data engineering, strong skills in SQL and Python, and hands-on knowledge of Spark and ETL/ELT pipelines. Join us to support innovative data solutions!

Qualifications

• 5-7 years of relevant experience in data engineering or analytics engineering.
• Hands-on with Microsoft Fabric, lakehouse architecture and OneLake.
• Strong SQL and Python development skills.
• Experience in building ETL/ELT pipelines for data processing.

Responsibilities

• Design and maintain scalable lakehouse architecture using Microsoft Fabric.
• Develop data ingestion and transformation processes.
• Build end-to-end ETL/ELT pipelines using Spark.
• Implement data quality controls and validation.

Skills

Microsoft Fabric

Apache Spark

PySpark

SQL

Python

ETL/ELT pipelines

Data integration

Data validation

Job description

Be Part Of A High-Performing Team

Join a technology-driven financial services environment supporting enterprise data transformation, governance, analytics, and reporting initiatives. This team is focused on modernizing how data is ingested, transformed, governed, and delivered through scalable Microsoft Fabric and lakehouse-based solutions. The environment is collaborative, technical, and delivery-focused, with an emphasis on building reliable data platforms that support business intelligence, operational reporting, and downstream analytics.

What's In Store For You

Engagement: W2 only (no C2C/1099)

This is a hybrid opportunity based in Charlotte, NC, supporting a modern Microsoft Fabric data platform. The role offers the opportunity to work hands‑on with lakehouse architecture, OneLake, Spark, PySpark, SQL, Delta Tables, data pipelines, and analytics‑ready data delivery for Power BI and enterprise reporting users.

How You Will Make An Impact

• Design, build, and maintain scalable lakehouse architecture using Microsoft Fabric and OneLake.
• Develop data ingestion, transformation, and delivery processes that support analytics, reporting, and downstream business consumption.
• Build and maintain end-to-end ETL/ELT pipelines across batch and real‑time data sources.
• Integrate data from APIs, databases, enterprise systems, flat files, Jira, ERP, CRM, and streaming sources.
• Develop large-scale Spark jobs using PySpark and Spark SQL for batch and streaming workloads.
• Create and maintain notebooks for data transformation, analysis, cleansing, enrichment, and validation.
• Implement data quality controls to ensure datasets are accurate, reliable, and ready for Power BI and business intelligence use cases.
• Support structured, semi-structured, and unstructured data ingestion within a modern cloud-based data platform.

Are you an experienced Microsoft Fabric Data Engineer ready to make an impact?

• 5–7 years of relevant data engineering, data development, or analytics engineering experience.
• Hands‑on experience with Microsoft Fabric, including Lakehouse, OneLake, Pipelines, and Notebooks.
• Strong experience with Apache Spark, PySpark, and Spark SQL.
• Strong SQL and Python development skills.
• Experience building ETL/ELT pipelines for ingestion, transformation, and data serving.
• Experience with Delta Lake, Delta Tables, lakehouse architecture, and modern data platform design.
• Ability to integrate data from APIs, databases, streaming sources, enterprise systems, and flat files.
• Experience building data validation, cleansing, enrichment, and quality‑control logic.
• Exposure to Power BI enablement and delivering analytics‑ready datasets.
• Strong communication, problem‑solving, and cross‑functional collaboration skills.