Senior Data Product Engineer

Role Overview

• Proactively manages stakeholder relationships across business and technical teams, regularly synthesizing feedback and needs into actionable technical plans
• Lead the design, development, and optimization of robust, scalable data pipelines for efficiency, speed, and cost
• Build and refine star schemas and advanced data models (e.g., using dbt) to establish authoritative sources of truth
• Deliver analytic “data apps” and light integration/data capture solutions as needed to meet evolving organizational priorities
• Develop impactful data visualizations, dashboards, and reusable analytics to enable deep-dive insights and “why” analysis
• Proactively engage with managers, directors, and business stakeholders to clarify ambiguous problems, capture requirements, and align on solution approaches
• Own projects from discovery through delivery within a specific business or technical domain, ensuring solutions align with the analytics and data product strategy
• Conduct user interviews and gather stakeholder feedback to deeply understand business needs; translate them into actionable features, datasets, or analytic products
• Collaborate with Data Product & Engineering leadership to identify major problem areas and opportunities, driving improvements that enhance company-wide data availability, speed, and quality
• Assess and evaluate new feature requests or technical initiatives using impact, effort, and business value frameworks; drive prioritization based on expected outcomes
• Define and track adoption and success metrics for delivered data products; iterate based on usage data and direct stakeholder feedback
• Mentor junior engineers and lead cross-functional project teams, elevating both data engineering and product practices
• Empower business users by coaching them in self-service analytics, troubleshooting complex issues, and advancing data literacy across the organization
• Stay current with evolving industry trends, technologies, and approaches in end-to-end data engineering and analytics; contribute recommendations to evolve internal methods
• Champion user perspectives within engineering, and represent technical constraints or opportunities to business stakeholders while balancing feasibility and impact
• Regularly present product updates and project outcomes to both technical and non-technical audiences, ensuring alignment and transparency
• Model and promote company standards for data quality, stewardship, and product enablement in all team initiatives

Requirements

• Bachelor’s degree in a technical field or equivalent practical experience
• 5+ years of years of proven experience in business analytics, data engineering, or comparable data roles
• Expert proficiency in SQL/Python with a proven ability to aggregate, gather, and manipulate data, and contribute to data pipeline building
• Demonstrated knowledge and experience working with large and disparate data sets, including data collection processes, data modeling, data analysis, and writing reports on findings of the research
• Significant experience with creating & presenting management dashboards and reports in data visualization/business intelligence tools (e.g. Sigma, Tableau, PowerBI, HEX, Jupyter notebooks, etc.)
• Experience with data modeling, and contributing to data pipelines
• Effective communication skills, both written and verbal, as well as the ability to develop concise and effective presentations tailored to specific audiences at all levels of the organization
• Strong organizational, planning, quantitative and analytical skills; strategic and creative thinking with keen business judgment, focus, and ability to see the 'big picture'
• Comfort in a dynamic, fast-moving, Agile, and matrix work environment

Tech Stack

• Python
• SQL
• Tableau

Benefits

• Flexible paid time off for full-time employees
• Medical, dental, and vision insurance
• Telehealth
• 401(k) with company matching contribution
• Flexible remote work support where applicable
• WFH Contribution
• Wellness allowance
• Calm App
• Learning opportunities
• Financial planning support
• Parental leave
• Employee Assistance Program
• Pet Insurance
• Opportunity to earn bonus, commission, and/or equity
• Onsite Gym