Data Engineer
Summary
6-month onsite contract in Houston building and maintaining scalable data platforms: ETL pipelines, data modeling, and AI/ML workflows including LLM/Generative AI, RAG, and vector databases on Azure/AWS. Hired via staffing firm BizTech Fusion for an enterprise client; full-stack (Angular/Node.js) and oil & gas exposure preferred.
Data Engineer
Location: Houston, TX – Onsite
Experience: 5+ years of relevant software/data engineering experience
Contract Duration: 6 months, with potential extension based on performance
Employment Type: Contract
About the Opportunity
BizTech Fusion is hiring a Data Engineer on behalf of one of its clients.
We are seeking an experienced Data Engineer to build and maintain scalable data platforms, data pipelines, AI/ML workflows, and cloud-based solutions supporting enterprise software products. The ideal candidate will have strong experience in Python, SQL, data modeling, ETL, cloud platforms, AI/ML, and modern data engineering practices.
Mandatory Skills & Qualifications
- 5+ years of relevant software or data engineering experience.
- Experience with Python and SQL.
- Strong knowledge of data modeling and database concepts.
- Hands-on experience designing and developing ETL processes and data pipelines.
- Experience with AI/ML frameworks and workflows.
- Experience with cloud platforms such as Microsoft Azure and/or AWS.
- Strong understanding of software development fundamentals.
- Experience with system design and architecture.
- Full-stack development exposure is preferred, particularly Angular and Node.js.
- Oil & Gas industry experience is preferred.
- Bachelor’s degree in Computer Science or a related field.
Key Responsibilities
- 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.
- Develop and implement LLM and Generative AI solutions.
- Build solutions using Retrieval-Augmented Generation (RAG).
- Work with vector databases and vector search technologies.
- Develop and manage prompt orchestration pipelines.
- Ensure data governance, security, and responsible AI practices.
- Monitor production systems for reliability, performance, and scalability.
- Participate in architecture and design decisions for enterprise-scale data and AI platforms.
- Collaborate with software engineers, data scientists, architects, and other cross-functional teams.
Preferred Technologies & Experience
- Python
- SQL
- ETL / Data Pipelines
- Data Modeling
- Azure / AWS
- AI/ML Frameworks
- LLM / Generative AI
- RAG
- Vector Databases / Search
- Prompt Engineering & Orchestration
- Angular
- Node.js
- Cloud-native architectures
Education
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
Work Location
Houston, TX – Onsite only
Interested candidates are encouraged to apply with their updated resume.