Data Engineer

Pentangle Tech Services | P5 Group; Houston (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Pentangle Tech Services | P5 Group is seeking a Data Engineer to design and maintain data platforms and pipelines that support our energy industry software products. You will build scalable data architectures and develop AI/ML workflows in cloud environments.

The role emphasizes end-to-end data engineering, governance, and secure AI practices with a focus on reliability and performance in production systems. A bachelor’s degree and 5–7 years of relevant experience are required.

Qualifications

• 5+ years of relevant software/data engineering experience.
• Oil and Gas Experience preferred
• ETL/Data Pipeline Engineering
• Software Development fundamentals
• System Design and Architecture

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:
• Retrieval Augmented Generation (RAG)
• Ensure data governance, security, and responsible AI practices.
• Monitor production systems for reliability, performance, and scalability.

Job description

Experience – 5 to 7 years relevant experience

Role Overview The Data Engineer focuses on building and maintaining data platforms, data pipelines, AI/ML workflows, and cloud-based solutions that support Client's energy industry software products.

Mandatory Skills:

• 5+ years of relevant software/data engineering experience.
• Oil and Gas Experience preferred
• ETL/Data Pipeline Engineering
• Software Development fundamentals
• System Design and Architecture

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:
• Retrieval Augmented Generation (RAG)
• Ensure data governance, security, and responsible AI practices.
• Monitor production systems for reliability, performance, and scalability.

Education:

• Bachelor's degree in Computer Science or related field.