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

Pacer Group; Newark (NJ); Hybrid; USD 70,000 - 85,000; Part time

Benefits offered by this job

Medical

Dental

Vision

401(k)

Job summary

Pacer Group in Newark, NJ is seeking an experienced Data Engineer for the CDO Data Tech department to join a diverse team delivering enterprise data solutions. You will partner with ML Engineers, Data Scientists, and business units to enable data-driven decision making.

The role focuses on building scalable pipelines in Azure (Data Factory, ADLS Gen2, Synapse) using Python, Spark, and SQL, and developing CI/CD with Terraform and GitHub. This is a hybrid, 17.5‑month contract based in Newark.

Qualifications

• Must-have experience with enterprise data lakes/pipelines on Azure.
• Strong programming skills in Python, Spark and SQL for data ingestion and processing.

Responsibilities

• Designing, building, and maintaining architecture and code for enterprise data lakes and pipelines.
• Experience with Microsoft Azure services, Data Factory, ADLS Gen2, Synapse Analytics, Synapse Database, and KQL.
• Programming with Python, Spark, and SQL for data ingestion, storage, integration, and processing.
• Participate in architecture and system design discussions to optimize performance of high-scale data services.
• Develop CI/CD pipelines using Terraform and GitHub and resolve performance issues.

Skills

Data Factory

ADLS Gen2

Synapse Analytics

Synapse Database

KQL

Python

Spark

SQL

Terraform

GitHub

Tools

Azure Data Factory

ADLS Gen2

Azure Synapse Analytics

Azure Synapse Database

KQL

Python

Spark

SQL

Terraform

GitHub

Job description

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):

Secondary (Good to Have):

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.