Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 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 21%

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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 • Extract, transform, schedule, and monitor survey responses, pricing series, volume and capacity forecasts, and buyer participation data • Automate survey ingestion, cleaning, and joining processes end to end • Support the reporting layer and connect findings to tools, dashboards, and publications • Turn recurring bespoke research questions into repeatable queries • Validate inputs, document assumptions, maintain version control, and produce reproducible outputs • Identify and drive additional data use cases across teams • Embed with the Market Intelligence team while working on Crux’s Data Team

🎯 Requirements

• 3+ years of experience building and maintaining production data pipelines in high-growth, fast-paced environments • Fluent in Python and SQL; able to write, test, and debug production code and complex queries • Proficiency 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 • Ability to translate business or research needs into 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 for software development, data analysis, testing, documentation, or workflow automation • Sound technical judgment evaluating datasets and engineering approaches • Bonus: experience with energy, finance, transaction, or market intelligence data • Bonus: exposure to research, forecasting, survey analysis, or data-intensive publications • Bonus: experience developing or supporting analytical or statistical models • Bonus: knowledge of model testing and data-validation practices • Bonus: familiarity with data visualization, business intelligence, or reporting tools

🏖️ 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 • 100% of employee healthcare premiums covered; 70% subsidy for dependents • Dental and vision premiums covered 100% for employees and 50% for dependents • 10 company holidays per year • 20 days 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 • Equal employment opportunity

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