Lead Data System Engineers

Rev Renewables Ops • Houston, TX

2d

About The Position

REV Renewables is seeking a Lead Data Systems Engineer to own the architecture, data pipelines, core applications, and daily operations of its in-house Energy Trading and Risk Management (ETRM) platform. The platform supports trading, dispatch, analytics, and portfolio reporting for renewable energy and storage assets operating in wholesale power markets, primarily PJM, CAISO, and ISO-NE. This is a hands-on individual contributor role with technical leadership responsibilities. The engineer will maintain and improve production systems for trade capture, valuation, settlements, position management, and risk analytics, working with traders, analysts, developers, and IT to keep the platform reliable, secure, and adaptable and to help users with varying technical skills build applications and access trusted data.

The platform is built primarily in-house using open-source tools. Its stack includes Python, pandas, Polars, internal libraries, FastAPI, Selenium, SFTP, HTTPS, Dagster, Streamlit, Power BI, Git, CI/CD, Docker, Kubernetes, Helm, AWS EKS, WSL, Conda, and primarily AWS S3 storage. Applicants should include “rev-em-systems” in their application materials.

Requirements

• Bachelor’s degree in Engineering or Computer Science.
• At least 7 years of relevant experience, including hands-on ownership of production data platforms or trading systems.
• Strong Python skills, including time-series processing, dataframe libraries, columnar storage, data modeling, and API development.
• Experience with production operations, testing, code review, deployment, and incident response.
• Working knowledge of security, access controls, segregation of duties, and auditability in an energy trading environment.
• Experience integrating language models with enterprise data and tools, including access controls, workflow orchestration, and production monitoring.
• Experience using AI coding assistants effectively, including reviewing generated code, validating business logic, and testing changes before production deployment.
• Clear communication skills and ability to translate business needs into practical technical solutions.
• Strong ownership, sound judgment, and comfort working independently in a lean front-office team.

Nice To Haves

• Experience with US power markets and energy trading products.
• Experience building infrastructure for AI applications and agents.
• Experience with quantitative analytics and machine learning.
• Experience with cloud infrastructure using Docker, Kubernetes, Helm, and AWS EKS.

Responsibilities

• Develop and maintain ETRM components, shared Python libraries, APIs, and data pipelines for trading, dispatch, valuation, settlements, and reporting.
• Establish practical platform architecture patterns and standards that help users and AI agents build reliable applications while limiting maintenance complexity.
• Develop and maintain shared services that connect language models to internal data and tools, including secure access, deployment, monitoring, and evaluation.
• Establish reusable patterns for automating trader, analyst, and developer workflows with appropriate controls and human oversight.
• Review production code and maintain testing, documentation, source control, and deployment practices.
• Resolve production incidents, maintain monitoring and runbooks, strengthen recovery procedures, and communicate system issues to stakeholders.
• Maintain access controls, change management, audit trails, and segregation of duties in coordination with IT and applicable security, SOC, and NERC/FERC requirements.
• Deliver accurate, timely, transparent, and auditable position, dispatch, valuation, and hedge reporting for trading, risk, and finance.
• Define cloud and infrastructure requirements with IT, including compute, storage, networking, and deployment needs.
• Provide technical guidance, documentation, and hands-on support to traders, analysts, and developers.

Benefits

• Employer-sponsored medical, dental, and vision coverage for employees and eligible dependents.
• Health Reimbursement Arrangement (HRA) and Flexible Spending Accounts (FSA).
• Company-paid life, AD&D, and long-term disability insurance.
• 401(k) with employer contributions.
• Generous time-away policies.
• Educational reimbursement for professional development.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior