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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining data pipelines, with proficiency in Python and SQL for data extraction, transformation, and loading. Capable of translating business needs into technical solutions while ensuring data quality and effective communication with stakeholders.
Highest-signal resume keywords
Data Pipeline DevelopmentPython ProgrammingSQL Query OptimizationCloud Data WarehousingData Quality Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ExtractionData TransformationData LoadingData MonitoringVersion ControlAutomated TestingSchema DesignIncremental Data LoadingQuery OptimizationReproducible Outputs
Soft Skills
Technical CommunicationProblem-SolvingCollaboration
Tools & Technologies
AI-Enabled ToolsData Visualization ToolsBusiness Intelligence Tools
Industry Keywords
Market IntelligenceSurvey AnalysisForecastingData-Intensive PublicationsEnergy DataFinance DataTransaction Data
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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