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# Senior AI Data Engineer in Chicago

- **Company:** Energy Jobline
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, ARM Architecture, Big Data, Continuous Integration, Data Deduplication, Information Engineering, Amazon DynamoDB, Github, Python (Programming Language), Parsing, Performance Tuning, SQL Stored Procedures, Data Ingestion, Sql Optimization, Large Language Models, Snowflake, State Machines, Generative AI, Cloudformation, Information Technology, Drift Detection, Evaluation of Large Language Models, Terraform, Jenkins
- **Published:** October 31, 2026
- **Apply:** https://www.energyjobline.com/job/senior-ai-data-engineer-chicago-32122640

## About the Role

The ideal candidate brings a strong traditional Data Engineering foundation along with hands-on experience developing and deploying production Generative AI solutions. This is a hands-on engineering role requiring deep Snowflake expertise, strong AWS and Python skills, and experience taking AI/LLM workflows into production., n
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 * 8+ years of overall technology experience, including 5+ years of Data Engineering experience.
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 * 2+ years of hands-on experience developing and deploying Generative AI applications.
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 * Strong hands-on experience with Snowflake, including advanced SQL, Tasks/Streams, stored procedures, and performance tuning.
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 * Experience with Snowflake Cortex AI or a comparable production LLM platform.
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 * Experience developing Snowflake Apps using the Snowflake App Framework.
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 * Strong Python development experience, including production-grade coding, testing, and packaging.
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 * Strong AWS experience, including S3, Lambda, Glue, Step Functions, DynamoDB, EC2, CloudFormation, and Kinesis.
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 * Experience with Snowpark using Python or Scala.
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 * Experience with CI/CD tools such as GitHub Actions and/or Jenkins.
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 * Infrastructure-as-Code experience with Terraform and/or CloudFormation.
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 * Experience building structured extraction pipelines from free-text inputs, including parsing, validation, deduplication, and quality controls.
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 * Experience with ML/LLM observability platforms such as Arize.
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 * Strong understanding of AI/LLM evaluation, error analysis, quality measurement, and drift monitoring.
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 * Ability to work independently and deliver against defined milestones.
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 * Strong communication skills with both technical and non-technical stakeholders.
\n, Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.

## Description

We are looking for a Senior AI Data Engineer to support a large-scale Data Engineering team focused on building scalable data and AI capabilities. This role will work closely with Data Product Management and Data Science teams to design, build, and operationalize data ingestion, transformation, and Generative AI pipelines using Snowflake, AWS, and Python.