Analytics Engineer II

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Rhythm Energy

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

⚡ Energy

👥 B2C

🤝 B2B

Energy • B2C • B2B

Rhythm Energy is a Texas-based retail electricity provider offering residential and small-business energy plans across multiple Texas markets. The company markets time-of-use, demand-response, simple fixed-rate, and renewable-friendly plans (including solar buyback and wind/solar options), promotes transparent pricing and a 30-day trial, and emphasizes customer experience and cost savings through programs like PowerShift. Rhythm operates in Houston and other Texas service areas and is focused on retail energy supply and related customer services.

📋 Description

• Build and maintain analytical frameworks used to evaluate battery dispatch strategies, revenue stacking, and degradation-aware optimization • Develop valuation models for batteries, solar + storage, and behind-the-meter DER configurations across multiple market scenarios • Analyze battery sizing, siting, and dispatch strategies using nodal pricing, congestion, ancillary services, and customer load patterns • Support expansion of VPP valuation and program economics models into additional ISOs/RTOs and utility programs • Incorporate ancillary service programs, demand response structures, and market settlement logic into valuation tooling • Design and maintain software and data solutions supporting portfolio valuation, load forecasting, P&L analytics, and risk reporting • Contribute to the development of Rhythm’s in-house valuation and portfolio analytics platforms • Build distributed data pipelines and modeling workflows using Databricks, PySpark, and Delta Lake • Develop automated validation and monitoring frameworks for valuation and reporting data pipelines • Build reporting layers and dashboards for exposure tracking, VPP performance, portfolio economics, and financial risk metrics • Support integrations with ISO market feeds, telemetry systems, and other external data sources • Partner with VPP, Finance, Product, Portfolio Management, and Credit teams to scope and deliver analytical systems and enhancements • Collaborate with Data Engineering and Software Engineering teams to improve CI/CD, deployment, and production reliability practices • Help establish scalable analytics engineering standards and best practices across the organization • Take ownership of key initiatives and provide technical leadership on high-impact analytical projects

🎯 Requirements

• 4+ years of experience in Analytics Engineering, Data Engineering, Quantitative Analytics, or related technical roles • 2+ years of experience in retail or wholesale energy markets, ideally supporting Portfolio Management, Risk Analytics, DER, or VPP economics • Strong Python skills, including experience with pandas, numpy, PySpark, or similar analytical frameworks • Experience working with distributed data systems such as Spark, Databricks, Delta Lake, or Hive • Experience building ETL workflows, orchestration systems, and analytical data models • Strong understanding of energy markets, portfolio valuation, and risk management concepts • Experience building valuation, forecasting, P&L, or asset performance models • Strong communication skills and ability to work cross-functionally with both technical and business stakeholders • Experience with CI/CD practices, Git, and production-quality analytics workflows

🏖️ Benefits

• Competitive compensation • Bonus potential • Unlimited PTO • Medical coverage • 401(k) match