Azure Data Engineer Job at Liberty Personnel Services, Inc., Plymouth Meeting, PA

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  • Liberty Personnel Services, Inc.
  • Plymouth Meeting, PA

Job Description

Job Details:

Data Engineer (Python / PySpark / Azure Synapse)
Location: Hybrid 

Position Overview

We are seeking a hands-on Data Engineer to join a growing organization focused on building and optimizing scalable, cloud-native data pipelines. This role is centered on designing and delivering robust ETL solutions using Python, PySpark, and Microsoft Azure data services, with a strong emphasis on modern data warehouse architecture and high-performance data processing.

The environment is evolving toward a Snowflake-based architecture in the next 6 months, so experience with or exposure to cloud data platform migrations is a strong plus.

Key Responsibilities

  • Design, build, and maintain scalable ETL data pipelines using Python and PySpark
  • Develop and optimize ETL workflows within Microsoft Azure ecosystem
  • Leverage Azure Synapse Analytics for pipelines, notebooks, and distributed data processing
  • Build and manage data workflows using Azure Data Factory, including linked services, triggers, and monitoring
  • Develop secure and efficient data solutions leveraging Azure Key Vault
  • Integrate data from multiple sources including REST APIs, relational databases, flat files (CSV), and external systems
  • Design and implement scalable data warehouse models using star schema and dimensional modeling best practices
  • Ensure data quality, governance, lineage, security, and performance tuning across pipelines
  • Collaborate closely with data architects, analysts, and business stakeholders to translate requirements into scalable data solutions
  • Support reporting and analytics use cases across tools such as Power BI and Tableau
  • Participate in modernization efforts including lakehouse architectures, Git-based development, and Azure DevOps CI/CD workflows
  • Explore and apply hands-on AI/ML techniques for data enrichment and automation where applicable

Required Skills & Experience

  • Strong hands-on experience with Python and PySpark
  • Deep expertise in ETL pipeline development and optimization
  • Strong SQL skills with experience in complex query development and tuning
  • Solid understanding of data warehousing concepts, including dimensional modeling and star schema design
  • Experience working in Microsoft Azure data ecosystem, including Synapse and related services
  • Familiarity with data lake / lakehouse architectures
  • Experience integrating diverse data sources (APIs, databases, files)
  • Strong understanding of data quality, governance, and performance optimization principles
  • Excellent communication skills with ability to work directly with technical and non-technical stakeholders
  • Strong interpersonal skills and ability to thrive in a collaborative, fast-paced environment

Nice to Have

  • Exposure to Snowflake or cloud data warehouse migrations (expected platform transition within ~6 months)
  • Experience with Git, Azure DevOps, or CI/CD pipelines
  • Familiarity with Power BI or Tableau
  • Experience applying AI/ML techniques in data engineering workflows

Why This Role

This is a high-impact engineering role in a modern data environment where you will help shape the evolution of enterprise data architecture—from Azure Synapse-based systems toward a next-generation Snowflake-centric platform. You will work across engineering, analytics, and business teams in a highly collaborative and technically forward-thinking organization.

To apply, p lease submit your resume to  [email protected]

Please add me on LinkedIn — I look forward to connecting with you.

Boyd Kelly
Liberty Personnel Services

484-567-2099
[email protected]

Jobs: 
LinkedIn: 

#libertyjobs
#IT
#midsenior
#LI-hybrid

#LI-BK1

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