We’re financing the future of energy
Crux is the capital platform for the clean economy. We modernize capital raising and deployment for clean energy and critical infrastructure with solutions across advisory, investments, technology, and intelligence.
Our team of 120+ is composed of experts in energy, tax, finance, government, and technology. We have raised $77 million in capital from some of the best investors, including Andreessen Horowitz, Lowercarbon Capital, New System Ventures, Overture, Ardent Venture Partners, QED, Canapi, and others. These funds are joined by strategic investors including Pattern Energy, Clearway Energy, EDF Renewables, Intersect Power, LS Power, Orsted, Hartree Partners, Liberty Mutual Strategic Ventures, MassMutual Ventures, and OMERS Ventures.
An inflection point in American energy and manufacturing
Energy demand is growing for the first time in decades, driving an urgent need for more affordable and reliable electricity. More electricity requires new clean energy infrastructure and strong domestic supply chains for minerals and components — as well as large amounts of capital.
Traditional project financing is opaque, fragmented, and analog. At Crux, we’re changing that. Through unmatched insights and expertise, white-glove service, purpose-built tools, and risk underwriting, we power a more prosperous, clean, and secure energy future.
We are scaling quickly and looking for team members who are eager to combine deep expertise with an AI and tech-forward mindset.
About the Role
Crux's Market Intelligence practice is one of the most visible things we do. Our reports and proprietary data move the market, define how participants price and structure deals, and open the door to some of our most important commercial relationships. That work runs on data, and today too much of that data is assembled by hand.
We are hiring a Data Engineer to fix that. You will sit on Crux's Data Team and embed with Market Intelligence, building the foundational datasets and pipelines that our research, publications, and client deliverables depend on. Survey responses, pricing series, volume and capacity forecasts, buyer participation: you will own getting these into our data warehouse clean, joined, refreshed on a schedule, and trustworthy enough that an analyst never has to sanity-check them twice.
This is a build role at an early moment. You will have more context on Crux's data than anyone else in the room, and we expect you to use it. The datasets you create will be the substrate for our intelligence products through 2027 and beyond.
What you’ll do
Own the Market Intelligence data foundation. Build and maintain the pipelines our market intelligence work runs on: survey responses, pricing series, volume and capacity forecasts, buyer participation. Extraction, transformation, scheduling, monitoring, the whole path.
Automate our survey processes end to end. Ingesting, cleaning, joining - a lot of this is ad hoc today. You will make it a system, so that scaling our survey program does not mean scaling hours of manual cleanup.
Get data where it needs to be. Supporting the reporting layer so that findings are visible and plugged into the tools, dashboards, and publications that depend on them, without an analyst stitching it together each time.
Turn recurring questions into repeatable queries. As bespoke research scales, you will be the person who will help productize.
Firm up Crux's data practices. With the data foundation in place, you’ll help move it onto firmer ground: validating inputs, documenting assumptions, version control, reproducible outputs, finding and driving additional use cases across other teams.
Who you are
3+ years of experience building and maintaining production data pipelines in high-growth, fast-paced environments.
Fluent in Python and SQL, with the ability to write, test, and debug production code and complex queries.
Proficient in cloud data warehousing, including schema design, incremental data loading, query optimization, and cost management.
Experience with extraction, transformation, loading, scheduling, and monitoring.
Knowledge of established data-quality practices, including input validation, automated testing, monitoring, documentation, version control, and reproducible outputs.
Skilled at translating business or research needs into clearly scoped technical requirements, deliverables, and implementation plans.
Demonstrated ability to communicate technical tradeoffs, project status, data limitations, and delivery risks to technical and nontechnical stakeholders.
Hands-on experience with AI-enabled tools supporting software development, data analysis, testing, documentation, or workflow automation.
Sound technical judgment when evaluating datasets and engineering approaches against downstream reporting, research, or product requirements.
Bonus
Experience working with energy, finance, transaction, or market intelligence data.
Exposure to research, forecasting, survey analysis, or data-intensive publications.
Hands-on involvement in developing or supporting analytical or statistical models.
Knowledge of model testing and data-validation practices, including documenting assumptions and handling missing values and outliers.
Familiarity with data visualization, business intelligence, or reporting tools.
What we bring
We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
