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# Data Eng w/ Python and AI, LLM

- **Company:** Akkodis group
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $116,480.0 - $120,640.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Databases, Data as a Services, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Systems Development Life Cycle, Software Engineering, Web Application Frameworks, Data Processing, Scripting, Freeform SQL, Sql Optimization, Large Language Models, Snowflake, Fastapi, Pandas, Pyspark, Information Technology, Data Management, Restful APIs, Data Pipelines, Api Management
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-eng-w-python-and-ai-llm-austin-tx--a586e11c-32a2-4f1b-81a1-267656d6e141

## About the Role

Python Programming/Scripting Language, Artificial Intelligence (AI), Software Engineering, Software Engineering, Artificial Intelligence (AI), Python Programming/Scripting Language, Data Management, Data Quality, Scalable System Development, Database Extract Transform and Load (ETL), * Bachelor's degree in computer science, Information Technology, Engineering, or a related field.

 * 8-10 years of experience in Data Engineering, Data Warehousing, and ETL development.
 * Strong hands-on experience with Snowflake, Advanced SQL, DBT, and dimensional data modeling (SCDs).
 * Expertise in Python programming including Pandas, Polars, PySpark, API integrations, and FastAPI development.

## Description

* Design, develop, and maintain scalable data pipelines and ETL processes using Python, Snowflake, and DBT.
 * Build and optimize dimensional data models, including Slowly Changing Dimensions (SCDs), to support enterprise analytics and reporting.
 * Develop and integrate REST APIs and data services using FastAPI and other modern Python frameworks.
 * Implement and support AI/GenAI solutions, including Large Language Model (LLM) integrations for business use cases.
 * Write and optimize complex SQL queries to ensure high-performance data processing and data quality.
 * Collaborate with cross-functional teams to automate data workflows, improve data architecture, and deliver scalable data solutions.