Technical Lead, Evaluation

Future Energy Ventures

full-time

Posted on: 9/8/2025

Location: California • 🇺🇸 United States

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💰 $165,000 - $210,000 per year

Senior

AirflowCloudGoogle Cloud PlatformKafkaPostGISPostgresPythonSDLCSparkSQLTypeScript

About the role

Own the architecture and scalability of our evaluation platform: designing, refining, and growing the engine that identifies viable clean energy opportunities across hundreds of thousands of buildings
Raise the technical bar by instilling best practices across SDLC: test coverage, CI/CD, system observability, and multi-phase refactors
Mentor and force-multiply: coach engineers through pairing, design reviews, and example-setting
Think in systems: evolve not just code but the processes and collaboration patterns that help the engineering team grow sustainably
Collaborate cross-functionally with Product, Design, Data, and Marketplace teams to ensure our evaluation stack is fast, scalable, and tightly aligned with business goals
Partner with leadership as a thought partner on technology decisions, helping guide Station A’s long-term platform strategy
Report to Head of Product and shape technical foundation for Station A

8+ years of professional software engineering experience, with significant full-stack and data engineering exposure
Proven track record leading complex, system-level projects from design through delivery
Strong experience with Python (preferred), TypeScript, and SQL databases (PostgreSQL), including query optimization
Comfort with geospatial technologies (e.g. Mapbox/MapLibre, Shapely, PostGIS) and building data pipelines for large-scale spatial analysis
Experience with CI/CD, automated testing, and cloud infrastructure (GCP or equivalent)
Ability to mentor engineers and foster a high-performing, learning-oriented culture
Excellent communication skills—you can align technical tradeoffs with business value and make complex systems understandable to both engineers and non-engineers
Bonus points for deep Python knowledge (e.g. Pydantic, Poetry)
Bonus points for experience with data engineering tools (Airflow, dbt, Kafka, Spark)
Bonus points for exposure to AI/ML applications, especially for geospatial or optimization problems
Bonus points for domain experience in clean energy, sustainability, or climate tech