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Join Crux as a Data Engineer to build foundational datasets and pipelines for market intelligence in the clean energy sector.

Location
Remote (US)
Compensation
$130k–$180k/yr
Level
mid
Type
full time · Remote

Posted by employer 4 days ago

First seen on Joblaze 4 days ago

Last verified on the company career page 6 hours ago

Apply at Crux → Save job Scanned from cruxclimate.com

Skills & Technologies

SQL Python Flexible on stack

What you'll build

  • Build and maintain data pipelines for market intelligence
  • Automate survey processes end to end
  • Support reporting layer for findings
  • Translate business needs into technical requirements
  • Firm up data practices

Must have

  • 3+ years of experience building and maintaining production data pipelines
  • Fluent in Python and SQL
  • Proficient in cloud data warehousing

Nice to have

  • Experience working with energy, finance, transaction, or market intelligence data
  • Exposure to research, forecasting, survey analysis
  • Hands-on involvement in developing analytical models

AI in the day-to-day

Hands-on experience with AI-enabled tools supporting software development, data analysis, testing, documentation, or workflow automation.

Requirements

Experience
3+ years

Not disclosed in this posting: visa sponsorship.

Benefits

Health Insurance Parental Leave

Joblaze summary

In this role, the Data Engineer at Crux will focus on building and maintaining data pipelines that support the company's Market Intelligence practice, ensuring that critical datasets are clean, reliable, and accessible. Proficiency in Python and SQL, along with experience in cloud data warehousing and data quality practices, are essential for success. This position is ideal for someone with over three years of experience in fast-paced environments, particularly those familiar with energy or finance data. Crux's early-stage, high-growth environment offers significant responsibility and the chance to shape foundational data practices.

Joblaze insights

  • Listed 4 days ago — first seen on Joblaze September 23, 2026. Last confirmed on Crux's careers page September 27, 2026.
  • Salary band is below the typical range for Data Engineering roles (median ~$180,656).
  • Starts above 59% of 29 comparable mid data engineering roles in United States that list Python we track (median $125,000 across 18 companies). See Python salary trends
  • Python appears in 66.7% of 81 comparable mid data engineering roles in United States; SQL appears in 58% of 81 comparable mid data engineering roles in United States.

Quick facts

Is the Data Engineer role remote?
Yes — Crux lists this as a fully remote position.
What's the salary range?
Crux lists $130,000–$180,000 for this role.
How much experience is required?
At least 3 years of relevant experience for this Data Engineer role.
What's the tech stack?
Joblaze extracted these technologies from the posting: Python, SQL.
What seniority level is this role?
Crux targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Data Engineer role at Crux.

From the original posting

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

  • Backing, traction & brand:

    • We have raised $77 million in capital from some of the best venture and strategic investors, including Andreessen Horowitz, Lowercarbon Capital, New System Ventures, Ardent Venture Partners, Pattern, Clearway, EDFR, Intersect, LS Power, Orsted, Hartree Partners, Liberty Mutual Strategic Ventures, MassMutual Ventures, and OMERS Ventures.

    • Additionally, we have raised a $500mm debt facility from Nuveen, allowing us to co-invest and deploy our own capital in support of the clean economy.

    • Have been profitable and are growing exponentially

    • We have closed over 120+ transactions in just the last 2 years, facilitating billions of dollars of capital flowing into renewables projects

  • Culture & working dynamic

    • Remote-first operating model: Work from anywhere in the US and Canada, or work out of our optional offices in DC (open), NYC (opening Q1’26). Optional co-working opportunities with co-workers in Bay Area, Seattle, Denver, Boston, LA, and beyond.

    • Regular team offsites: We sustain culture by bringing the entire company together 3 times a year. Individual teams may also meet up more frequently.

  • 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.

    • Holidays: 10 company holidays per year.

    • Paid time off: 20 days per year.

  • Compensation:

    • 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.

  • Values

    • Care for each other: We want to work on a team where people support each other - in their growth, in their work, and towards our shared mission. When we do that, we have fun.

Standard company text repeated across Crux's postings is omitted here.

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