Data Engineer

Title Data Engineer

Location Houston, TX (onsite only)

Experience 5 to 7 years relevant experience

Contract duration 6 months (might be extended based on performance)

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.

Mandatory Skills:

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)

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.

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.

Education:

Bachelor's degree in Computer Science or related field