Data Engineer - Azure, Python, Spark, SQL, Microsoft Fabric, Data Factory, ADLS Gen2, Synapse Analytics

Job Title: Data Engineer - Azure, Python, Spark, SQL, Microsoft Fabric, Data Factory, ADLS Gen2, Synapse Analytics

Location: Newark, NJ 07102

Work Arrangement: Hybrid

Employment Type: Contract

Duration: 17.5 Months

Domain: Data Technology | Enterprise Analytics

Pay Rate: $51.00/hr W2 | $62.00/hr C2C

Application Deadline: September 25, 2026

SKILLS REQUIRED

Primary (Must-Have):

• Azure | Microsoft Azure Services (Data Factory, ADLS Gen2, Synapse Analytics)

• Python | Spark | SQL

Secondary (Good to Have):

• Microsoft Fabric | KQL

• Terraform | GitHub

POSITION OVERVIEW

We are seeking an experienced Data Engineer for our CDO Data Tech department to join a diverse team dedicated to providing best-in-class data services. Reporting to Data Tech Engineering Leadership, this role will solve complex data-driven decision-making challenges by partnering with ML Engineers, Data Scientists, and various business units to build scalable, cost-effective enterprise data solutions.

ROLES & RESPONSIBILITIES

• Designing, building, and maintaining efficient, reusable, and reliable architecture and code for enterprise data lakes and pipelines.

• Experience with Microsoft Azure services, specifically Data Factory, ADLS Gen2, Synapse Analytics, Synapse Database, and KQL.

• Programming experience with Python, Spark, and SQL for data ingestion, storage, integration, and processing.

• Participate in architecture and system design discussions, ensuring best possible performance and quality of high-scale data services.

• Develop CI/CD pipelines using Terraform and GitHub while identifying and resolving performance issues.

BENEFITS

Medical | Dental | Vision | 401(k)

EEOC Compliance:

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

DISCLAIMER

AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.