Data Engineer

GEP; Clark (NJ); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Dental coverage

Vision coverage

401(k) with match

Paid time off

Company holidays

Professional development opportunities

Job summary

GEP Clark, a global leader in procurement and supply chain transformation, seeks a Data Engineer in the US. You will design, build, and maintain data pipelines, integrate AI into data workflows, and collaborate with data scientists and product teams.

The role is hybrid with three on-site days in Clark, NJ, offering a competitive salary, bonus eligibility, and comprehensive benefits. You will work on scalable, cloud-based data platforms across AWS/Azure/GCP to power decision-making.

Qualifications

• Hands-on data engineering experience building and owning production pipelines.

Responsibilities

• Design, build, and maintain data pipelines that move and transform large volumes of data reliably, at scale, every day.

Skills

Data engineering

Python

PySpark

SQL

Cloud platforms

AI integration

Tools

Python

PySpark

SQL

AWS

Azure

GCP

Job description

GEP Clark, Clark, New Jersey, United States

Full Time

Job Description

Overview

GEP is a global leader in procurement and supply chaintransformation, we help enterprises harness the power of AI and digitaltechnology to stay ahead in the new economy. Through AI-driven solutions, weenable businesses to operate with greater efficiency and effectiveness, gaincompetitive advantage, and maximize both business and shareholder value. Wepartner with Fortune 500 and Global 2000 enterprises across industries to buildhigh-performing, resilient and sustainable supply chains.

We're hiring a Data Engineer to join our team in the US.You'll be part of the team that builds and maintains the data infrastructure —the pipelines, platforms, and systems that keep data flowing reliably fromsource to insight.

This role sits at the point where data engineering meetsapplied AI. Beyond moving data reliably, you'll help give it meaning: modellingbusiness entities and relationships through ontologies and knowledge graphs sothat our AI systems can reason over procurement and supply chain data with realcontext, not just raw tables.

A key outcome of that work is conversational reporting.You'll build the semantic layer, retrieval pipelines and governed data accessthat let business users ask questions in plain language and get accurate,explainable answers, turning traditional dashboards and static reports into anatural, AI-driven conversation with their data.

This is a hybrid role with 3 days on-site in GEP’s Clark, NJ Headquarters.

What You Will Do:

• Design,build, and maintain data pipelines that move and transform large volumesof data reliably, at scale, every day
• EmbedAI into your engineering work — whether that's RAG pipelines, LLM-drivenworkflows, or model scoring built directly into the data systems you own
• Buildthe data infrastructure that Data Scientists need to train, retrain, andrun ML models in production
• Workwith cloud platforms (AWS, Azure, or GCP) to design and operatecloud-native data solutions
• Useorchestration tools like Apache Airflow / Azure ADF to schedule, monitor,and manage pipeline workflows
• Set updata quality checks and automated testing so problems are caught beforethey reach downstream systems
• Collaborateclosely with Data Scientists, Engineers, and Product teams to turnbusiness requirements into data infrastructure
• Contributeto a codebase that is production-grade — reviewed, tested, documented, andbuilt to last

What You Should Bring:

Required:

• Hands-onData Engineering experience building and owning production pipelines
• StrongPython skills used for real pipeline and data engineering work, not justanalysis
• PySparkor Apache Spark experience for processing data at scale
• SolidSQL skills — schema design, query optimization, working with relationaldatabases
• Experiencewith at least one major cloud platform (AWS, Azure, or GCP) using dataservices, not just compute
• Atrack record of AI embedded in your data engineering work — RAG pipelines,LLM-driven workflows, ML model infrastructure, or similar. This isrequired, not a bonus.

Nice to have:

• Hands-onexperience with Databricks or Microsoft Fabric (either is fine — we caremore about platform depth than the specific tool)
• ApacheAirflow / Azure ADF for pipeline orchestration
• MLOpsexperience — model versioning, monitoring, and deployment
• Exposureto LangChain, vector databases, or similar GenAI tooling
• Experiencewith ontologies or knowledge graphs (e.g. RDF/OWL, Neo4j, GraphRAG), orbuilding conversational / natural-language reporting on top of enterprisedata

Salary Range: $90,000 – $130,000 annually, based on experience and qualifications.

Additional Compensation: Eligible for a performance-based bonus tied to individual and company performance.

Benefits: Comprehensive medical, dental, and vision coverage, 401(k) with a 3% company match, paid time off, company holidays, and professional development opportunities.

Job Snapshot

Updated Date

11/09/2026

Job ID

Job_1261

Department

Location

Location GEP Clark, Clark, New Jersey, United States

Employee Type

Full Time

Salary Range

USD 90,000 - 130,000 (Annual)

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GEP’s strength is its people. As a leader in procurement and supply chain solutions, we are committed to providing innovative solutions that create a competitive advantage for enterprises worldwide. Our leadership helps us maintain this focus and drives our commitment to deliver the highest value to our clients.

GEP’s leadership is a collective of some of the most experienced and accomplished professionals in the industry. Blending together strong business acumen with rich technical expertise, they are leading GEP’s global workforce into the future

WeAreGEP

What makes us really stand out from the crowd?

We value and invest in talent. We respect honesty and individuality. We put our clients and our people first. This is what makes us special, and why GEP is an exceptional place to work.