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Data Engineer

BizTech Fusion

On-siteHouston, TXseniorPosted 6h ago

Job 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.