Data Engineer

MissionStaff; Philadelphia (Philadelphia County); Hybrid; USD 83,000 - 124,000; Full time

Job summary

MissionStaff is seeking a data engineer for a hands-on contract role to develop and expand a Microsoft Fabric data platform in the Philadelphia area. You will build data pipelines, modernize data flows, and create scalable data products to support analytics, Power BI, and AI-driven solutions.

Join a high-impact initiative and collaborate with engineering teams to productionize pipelines, apply data quality processes, and share knowledge through code reviews and mentorship.

Qualifications

• Advanced Python and SQL skills.
• Strong hands-on experience with Microsoft Fabric.
• Experience with Fabric Lakehouse, Notebooks, Data Factory, and Pipelines.
• Knowledge of medallion architecture (Bronze/Silver/Gold).
• Experience implementing data quality, cleansing, and validation processes.
• Experience integrating APIs, relational databases, files, and enterprise data sources.
• Ability to design reliable, scalable data pipelines.
• Experience developing complex transformations including historization and business calculations.
• Ability to communicate technical decisions clearly to stakeholders.
• Strong collaboration and knowledge-transfer skills.

Responsibilities

• Build and productionize data pipelines on a Microsoft Fabric platform.
• Modernize existing data flows and develop scalable data products.
• Support analytics, Power BI, and AI-driven solutions in production.

Skills

Python

SQL

Microsoft Fabric

Data Pipelines

Power BI

APIs

Data quality

Tools

Git

CI/CD

Job description

We connect top talent in Business Services, Tech, Marketing & Creative with companies of all sizes—offering flexible, high-touch staffing solutions. We are currently filling the following contract job for our client.

Overview

Join a high-impact data engineering initiative focused on developing and expanding a Microsoft Fabric data platform. In this hands‑on contract role, you will build and productionize data pipelines, modernize existing data flows, develop scalable data products, and help strengthen internal engineering capabilities through collaboration, code reviews, and knowledge transfer. Your work will support analytics, Power BI, and AI-driven solutions while improving the quality, reliability, and performance of enterprise data.

Required Skills

• Advanced Python and SQL skills
• Strong hands‑on experience with Microsoft Fabric
• Experience with Fabric Lakehouse, Notebooks, Data Factory, and Pipelines
• Knowledge of medallion architecture, including Bronze, Silver, and Gold layers
• Experience implementing data quality, cleansing, and validation processes
• Experience integrating APIs, relational databases, files, and enterprise data sources
• Ability to design reliable, scalable, and maintainable data pipelines
• Experience developing complex transformations, including historization and business calculations
• Ability to communicate technical decisions clearly to technical and non‑technical stakeholders
• Strong collaboration and knowledge‑transfer skills

Nice to Have Skills

• Microsoft DP-600 and/or DP-700 certification
• Experience with complex data migrations or ETL modernization
• Experience supporting Power BI and AI/ML use cases
• Familiarity with Git, CI/CD, and deployment practices

Preferred Education and Experience

• At least 3 years of experience in data engineering or data development
• Previous experience working as a Data Engineer or Data Developer
• No specific educational background was provided for this position
• Pragmatic, delivery-oriented approach and comfort working in an evolving environment

Other Requirements

• Must be based in or within commuting distance of Philadelphia, Pennsylvania
• Hybrid presence is expected, including approximately four days onsite in the Philadelphia area
• Availability to support a long‑term contract engagement of 12 months or more
• Ability to work closely with local business stakeholders and distributed data and AI teams

MissionStaff is an equal opportunity employer. Additionally, candidates must be U.S. citizens or Permanent Residents to be considered for this position.