Senior Data Engineer building Dandy’s data infrastructure for its technology - powered dental operating system. Developing pipelines, governed data products, and AI - ready platform capabilities.
About the role
- Data Engineer building trusted data pipelines for Crux’s clean-energy capital platform. Automating surveys, reporting datasets, and research queries for Market Intelligence.
Responsibilities
- 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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