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# Data Engineer

- **Company:** Apptad Inc.
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Python (Programming Language), Node.Js, Cloud Services, Tensorflow, Software Engineering, Large Language Models, Generative AI, AngularJS, Information Technology, Data Management, Machine Learning Operations, Prompt Orchestration, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.careerjet.com/jobad/us0190115aaab7cfd9b379002c7623ff20

## About the Role

5+ years of relevant software/data engineering experience.
Oil and Gas Experience preferred
Python
SQL
Data Modeling
ETL/Data Pipeline Engineering
AI/ML Frameworks
Cloud Platforms (Azure/AWS)
Software Development fundamentals
System Design and Architecture
Full-stack exposure (Angular/Node.js preferred), Bachelor's degree in Computer Science or related field

## Description

Role Overview: The Data Engineer focuses on building and maintaining data platforms, data pipelines, AI/ML workflows, and cloud-based solutions that support the Client's energy industry software products., Design, build, and maintain scalable data pipelines and ETL processes.
Develop and manage end-to-end AI/ML pipelines.
Support data modeling, data integration, and data quality initiatives.
Design and deploy cloud-native data and AI solutions.
Implement LLM and Generative AI solutions, including:
o Retrieval Augmented Generation (RAG)
o Vector databases/search
o Prompt orchestration pipelines
Ensure data governance, security, and responsible AI practices.
Monitor production systems for reliability, performance, and scalability.
Participate in architecture decisions for enterprise-scale platforms.