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# Data Engineer

- **Company:** Randstad
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $141,440.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Computing, Databases, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Database Schema, Github, Python (Programming Language), Liquibase, Markdown, Management of Software Versions, Data Storage Technologies, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Gitlab, Fastapi, Pyspark, Api Design, GPT, Software Version Control, Data Pipelines, Serverless Computing
- **Published:** August 1, 2026
- **Apply:** https://www.dice.com/job-detail/5fe5528d-f75b-4f84-9c62-c6be1f5de635

## About the Role

We are seeking a highly skilled Data Engineer with strong experience in AWS-based data pipelines and modern data engineering practices. The ideal candidate will be hands-on with Python/PySpark, possess solid API development knowledge, and demonstrate proficiency in version control and database change management tools. Experience with AI implementation in data engineering is a strong plus.

## Description

Primary Stack (Core Tech)

 * Language & Processing: Python, PySpark (Handles heavy data transformation and processing)
 * Cloud (AWS): S3 (Data storage) , Lambda (Serverless code execution) , Glue (Data integration/ETL)
 * Database Management: Liquibase (Database schema versioning)
 * API Framework: FastAPI (Exposing processed data to applications)

Secondary Skills

 * Version Control: GitHub / GitLab
 * Documentation: Markdown (MD)

Nice-to-Have (The ~10% AI Focus)

 * RAG (Retrieval-Augmented Generation): Connecting LLMs (like ChatGPT) to internal company databases so the AI gives accurate, company-specific answers.
 * Prompt Engineering: Crafting effective text prompts to get reliable outputs from AI tools.


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