Analytics Engineer II

Rhythm Energy

Analytics Engineer building data products and analytical frameworks for Rhythm's Virtual Power Plant and energy portfolio. Collaborating across teams to influence operational and commercial decisions.

Posted 6/18/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

ETLNumpyPandasPySparkPythonRTOSSpark

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonpandasnumpyPySparkDatabricksDelta LakeETL workflowsanalytical data modelsvaluation modelsrisk management

Soft Skills

communicationcross-functional collaborationtechnical leadershipownershipanalytical thinkingproblem-solvingteamworkadaptabilityinitiativeattention to detail