[Hiring] Data Engineer @Crux

Role Description

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.

• 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.
• Automate our survey processes end to end.
• Get data where it needs to be.
• Turn recurring questions into repeatable queries.
• Firm up Crux's data practices.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Healthcare: We cover 100% of premiums for employees with a variety of plans on Aetna (nationwide) and Kaiser (WA and California) and subsidize 70% for dependents (total as a group), if relevant.
• Dental & vision: We cover 100% of premiums for employees and 50% for dependents (each), if relevant.
• Holidays: 10 company holidays per year.
• Paid time off: 20 days per year.
• 401k: We support a 401k account but don't have a matching program set up at this time (typical for an early-stage startup).
• Parental leave: 16 weeks for birthing parents and 12 weeks for non-birthing parents.
• Base Compensation: $130,000 - $180,000 depending on leveling/years of experience, not reflecting value of equity.
• Company wide bonus tied to revenue goals.
• Stock options in a rapidly growing company.