Data Engineer

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., 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.

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), Bachelor’s degree in Computer Science or related field