Sr. AI Data Engineer

  • Posted 14 hours ago | Updated 14 hours ago

Overview

Remote
$120,000 - $130,000
Full Time
No Travel Required

Skills

Agile
Amazon Redshift
Amazon S3
Amazon Web Services
Artificial Intelligence
Data Engineering
Microsoft Power BI
PostgreSQL
PySpark
Python
Robotic Process Automation
SQL
Stored Procedures

Job Details

Resource 1 is in need of a Sr. AI Data Engineer for a full-time/ permanent position with our client in Naperville, IL. This position can be worked 100% remotely from anywhere in the U.S. Our client is an employee-owned company with excellent benefits, growth opportunities and profit-sharing bonus.

This position will be split 70% AI development/ 30% data engineering, supporting the development and deployment of AI use cases including chatbots, RAG pipelines and process automation. Selected individual will work within cross-functional Agile teams, collaborating with product owners, business analysts and other engineers to design and deliver data solutions that power business insights and AI products.

Responsibilities:

  • Develop and support both ongoing AI initiatives and new POCs using LLMs, RAG pipelines and vector databases to enable chatbots, OCR, RPA (Power Automate) and predictive analytics.
  • Partner with existing AI specialists to experiment with pre-trained models and build POCs for new AI use cases.
  • Design, develop and maintain modern data pipelines for ingestion, transformation and integration using AWS services and Python.
  • Write efficient SQL queries, stored procedures and functions in PostgreSQL and Redshift.
  • Collaborate with product owners and analysts to translate business requirements into technical solutions.
  • Participate in two-week sprints, contributing to coding, grooming and requirement workshops (75% hands-on coding, 25% collaboration).
  • Manage infrastructure through infrastructure-as-code templates (Serverless Framework), supporting new data products and services in AWS.
  • Support inbound and outbound data flows, including APIs, S3 replication and secure data sharing.

Qualifications:

  • 5+ years of data engineering experience.
  • Foundational understanding of LLMs, RAG and vector search, and hands-on experience using tools like ChatGPT or Claude.
  • Knowledge of RPA tools such as Power Automate and AI-based automation use cases.
  • Knowledge of model manipulation, augmentation and data indexing.
  • Experience with AWS and its associated array of offerings (Glue, Redshift, Athena, S3, Lambda, Spectrum).
  • Strong experience with SQL, Python and PySpark.
  • A background in supply chain, logistics or distribution would be a plus.
  • Experience with Power BI is a plus.

Benefits include medical/dental/vision insurance, FSA/HSA, life insurance, 401(k), PTO/paid sick time/paid holidays, STD/LTD, ESOP

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