Data Engineer (Agentic AI / RAG Platform)

Pacer Group; Dearborn (MI); On-site; USD 73,000 - 88,000; Part time

Benefits offered by this job

Medical

Dental

Vision

401(k)

Job summary

Pacer Group is seeking a Data Engineer for an onsite, 9-month contract in Dearborn, MI. The role focuses on building AI-ready data architectures, integrating data sources into VESSEL, and enabling RAG and intelligent agents.

Responsibilities include creating robust data ingestion pipelines, vectorized repositories, semantic search, and scalable cloud-native data services. Proficiency in Python and Spark is required.

Responsibilities

• Integrate structured and unstructured data sources into VESSEL while designing and implementing robust data ingestion pipelines.
• Create vectorized data repositories and develop semantic search and knowledge retrieval frameworks for AI applications.
• Build scalable cloud-native data services supporting AI agents, prompt engineering, and metadata-driven solutions.
• Optimize data quality, governance, and performance across large-scale distributed data processing systems.
• Design and maintain high-performance data pipelines utilizing Python, Spark, and modern data processing frameworks.

Skills

Python

Spark

Job description

Job Title: Data Engineer (Agentic AI / RAG Platform)

Location: Dearborn, MI 48126

Work Arrangement: Onsite

Employment Type: Contract

Duration: 9 months

Domain: Automotive - AI & Data Platforms

Pay Rate: $53.00/hr W2 | $64.00/hr C2C

Application Deadline: September 25, 2026

SKILLS REQUIRED

Primary (Must-Have):

Secondary (Good to Have):

POSITION OVERVIEW

The Data Engineering Department operates within advanced AI and data platforms, reporting directly to the Engineering Leadership Team. This position solves critical platform scalability and data foundation challenges by building AI-ready data architectures, integrating new data sources into VESSEL, and enabling advanced vectorization for Retrieval-Augmented Generation (RAG) and intelligent agents.

ROLES & RESPONSIBILITIES

• Integrate structured and unstructured data sources into VESSEL while designing and implementing robust data ingestion pipelines.
• Create vectorized data repositories and develop semantic search and knowledge retrieval frameworks for AI applications.
• Build scalable cloud-native data services supporting AI agents, prompt engineering, and metadata-driven solutions.
• Optimize data quality, governance, and performance across large-scale distributed data processing systems.
• Design and maintain high-performance data pipelines utilizing Python, Spark, and modern data processing frameworks.

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.