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# Python/AI Data Engineer

- **Company:** Blu Omega
- **Location:** Atlanta, GA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $100,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Code Generation, Databases, Information Engineering, Relational Databases, Database Queries, Python (Programming Language), Machine Learning, Natural Language Processing, SQL Databases, Systems Integration, Unstructured Data, Data Processing, GitHub Copilot, Large Language Models, Generative AI, Backend, Information Technology, Data Analytics, Data Pipelines
- **Published:** October 8, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9162848/pythonai-data-engineer

## About the Role

The ideal candidate is a strong hands-on Python developer with experience working with complex data and implementing AI/ML solutions. This individual should be comfortable using Python for data processing, analytics, automation, and AI-enabled development and have the technical judgment to evaluate, troubleshoot, test, and improve AI-generated outputs., * U.S. Citizen.

 * Bachelor's degree in Computer Science, Data Science, Engineering, Information Technology, or a related field.
 * 5+ years of relevant technical experience, including hands-on Python development.
 * Strong hands-on Python development skills.
 * Strong SQL skills and experience working with relational databases.
 * Experience with data engineering, data processing, and/or analytics using Python.
 * Demonstrated experience implementing AI/ML, generative AI, NLP, LLM, or other AI-enabled solutions.
 * Experience working with data from multiple sources and preparing data for analytical or AI use cases.
 * Ability to evaluate and validate AI outputs rather than relying solely on generated results.
 * Strong troubleshooting and problem-solving skills, including the ability to identify errors, inefficiencies, or unexpected results in AI-generated code or output.
 * Experience testing and validating technical solutions for production use.

What We're Looking For

This position is not solely a traditional software integration or backend development role. We are looking for someone who can combine strong Python engineering skills with meaningful experience working with data, analytics, and AI.

Successful candidates should be able to discuss specific examples of how they have used Python to work with data and how they have implemented, evaluated, or improved AI/ML solutions. Experience simply using an AI coding assistant is helpful, but does not replace hands-on AI/ML experience.

## Description

Blu Omega is seeking a Python AI & Data Engineer to support the CDC National Center for Environmental Health (NCEH). This role will use Python, data, analytics, and artificial intelligence to develop solutions supporting mission-critical public health initiatives., * Develop data-driven and AI-enabled solutions using Python and SQL.

 * Use Python to process, transform, analyze, and work with data from multiple sources.
 * Design and develop data pipelines and analytical workflows that support reporting, analytics, AI, and other downstream use cases.
 * Apply AI, machine learning, and/or generative AI techniques to solve practical data and business problems.
 * Work with structured and unstructured data from databases, APIs, files, and other data sources.
 * Develop, test, and refine AI-enabled capabilities, including evaluating the accuracy, quality, and reliability of AI-generated outputs.
 * Identify issues in AI-generated code or outputs and use engineering judgment to troubleshoot, correct, and improve solutions.
 * Use AI-assisted development tools such as Codex, GitHub Copilot, or comparable technologies as part of the development lifecycle.
 * Perform data analysis and develop solutions that turn complex datasets into useful insights or capabilities.
 * Develop maintainable, production-ready Python solutions with appropriate testing, documentation, and quality controls.
 * Collaborate with technical and functional stakeholders to understand data and analytical needs and translate them into practical technical solutions.