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# AI Data Engineer

- **Company:** Eliassen Group
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $114,400.0 - $124,800.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, JIRA, Automation of Tests, Unit Testing, BigQuery, Cloud Computing, Cloud Database, Databases, Data Validation, Information Engineering, Extract Transform Load (ETL), Graph Database, Python (Programming Language), Microsoft Copilot, SQL Databases, Workflow Management Systems, Scripting, Enterprise Software Applications, Large Language Models, Claude Code, Multi-Agent Systems, Prompt Engineering, Data Management, Google Gemini, Data Pipelines, Jenkins
- **Published:** October 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-data-engineer-gcp--14ab2355-9485-4d8b-a1f3-1bc0e5c24c0c

## About the Role

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * 5+ years total engineering experience.

 * Strong Python development background.
 * Hands-on experience with LLM agents, multi-agent frameworks, or AI orchestration patterns.
 * Strong understanding of prompt engineering, context management, and agent-based task decomposition.
 * Solid data engineering experience across ETL/ELT pipelines, data modeling, orchestration tools, and cloud data ecosystems.
 * Experience with GCP and BigQuery, or AWS with some BigQuery exposure.
 * Ability to integrate LLM agents with data pipelines, APIs, and enterprise systems.

Preferred Skills:

 * Exposure to VS Code Copilot
 * Exposure to Auto Model (preferred).
 * Exposure to Cloud Model Sonnet
 * Exposure to Gemini MCP
 * Exposure to Claude Code
 * Familiarity with knowledge graph concepts
 * Experience with Dataform or Jenkins-based orchestration, Agile Programming Methodologies, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Atlassian JIRA, Biology, Cloud Computing, Consulting, Data Management, Data Modeling Tools, Data Quality, Database Extract Transform and Load (ETL), Dental Insurance, Distributed Control Systems (DCS), Ecosystems, Engineering, GCP (Good Clinical Practices), Genetics, Jenkins, Legal, MCP - Microsoft Certified Professional, Military, Order/Customer Fulfillment, Python Programming/Scripting Language, SQL (Structured Query Language), Stock Keeping Unit (SKU), Team Player, Test Automation, Unit Test, Use Cases, Yahoo!

## Description

* Build and operationalize LLM-based multi-agent workflows that read Jira stories and interpret requirements, generate SQL, Python, and Dataform-ready code, perform automated data validation and unit testing, and prepare artifacts for deployment and raise pull requests.
 * Apply agent patterns such as planners, evaluators, and tool-using agents to automate engineering tasks.
 * Integrate LLM agents with BigQuery, Python, ETL/ELT pipelines, and internal frameworks.
 * Automate repetitive development and testing steps to reduce manual engineering work.
 * Collaborate with teams exploring VS Code Copilot, Auto Model, Cloud Model Sonnet, Gemini MCP, and Claude Code.
 * Support multiple Orion squads including SKU, Customer, Fulfillment, Stores, DCs, and Website, and contribute to future program waves.