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BizTech Fusion

Data Engineer

BizTech Fusion Houston, Texas, United States

IT Services and IT Consulting · 11-50 employees

2 h ago
data-engineer Senior (5-10 yrs) Contractor United States
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About the role

Design, build, and maintain scalable data pipelines, ETL processes, and end-to-end AI/ML workflows. Develop advanced solutions using LLMs, Generative AI, and Retrieval-Augmented Generation (RAG) while ensuring data governance and system performance.

What they look for

Python SQL Data Modeling ETL Data Pipelines Azure AWS AI/ML Frameworks LLM Generative AI RAG Vector Databases Prompt Engineering Angular Node.js System Design

Requirements

Requires 5+ years of relevant software or data engineering experience with proficiency in Python, SQL, and cloud platforms like Azure or AWS. A bachelor's degree in Computer Science or a related field is required, with preference for experience in the Oil & Gas industry.

Full description

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.

Requirements

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