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Data Engineer

🕒 September 23

🌐 United States, Canada – Remote

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💵 $130k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 31%

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Logo of Crux

Crux

11 - 50 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Crux is an ecosystem designed to facilitate transactions and management of transferable tax credits among developers, tax credit buyers, banks, syndicators, and advisors. The platform aims to streamline processes such as price discovery, due diligence, and contracting. It offers tools for minimizing risks, ensuring compliance, and managing reporting through a network of regulatory experts. Crux enables developers to maximize the value of tax credits and tax credit buyers to manage tax liabilities and sustainability goals. For banks, syndicators, and advisors, it provides workflows for efficiently managing syndications and connecting with new market participants. Crux’s Transaction Hub centralizes these activities, making it easier to track and execute tax credit transactions in the energy and manufacturing sectors.

📋 Description

• Build and maintain foundational data pipelines for Market Intelligence datasets • Ingest, clean, join, schedule, and monitor survey responses, pricing series, volume and capacity forecasts, and buyer participation data • Ensure data is clean, joined, refreshed on schedule, and trustworthy for analysts • Automate survey processes end to end to reduce manual cleanup • Support the reporting layer, tools, dashboards, and publications that depend on Market Intelligence data • Turn recurring bespoke research questions into repeatable queries • Productize recurring research workflows • Validate inputs, document assumptions, use version control, and produce reproducible outputs • Identify and drive additional data use cases across teams

🎯 Requirements

• 3+ years of experience building and maintaining production data pipelines in high-growth, fast-paced environments • Fluent in Python and SQL • 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 data-quality practices, including input validation, automated testing, monitoring, documentation, version control, and reproducible outputs • Skilled at translating business or research needs into scoped technical requirements, deliverables, and implementation plans • 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 • Experience with energy, finance, transaction, or market intelligence data is a bonus • Exposure to research, forecasting, survey analysis, or data-intensive publications is a bonus • Hands-on involvement in analytical or statistical models is a bonus • Knowledge of model testing and data-validation practices is a bonus • Familiarity with data visualization, business intelligence, or reporting tools is a bonus

🏖️ Benefits

• Remote-first operating model: Work from anywhere in the US and Canada • Optional offices in DC and NYC • Optional co-working opportunities • Regular team offsites three times a year • Healthcare: 100% of employee premiums covered; 70% subsidy for dependents • Dental and vision: 100% of employee premiums covered; 50% for dependents • 10 company holidays per year • 20 days of paid time off per year • 401k account • Parental leave: 16 weeks for birthing parents and 12 weeks for non-birthing parents • Company wide bonus tied to revenue goals • Stock options in a rapidly growing company

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