Senior Data Product Engineer Austin, TX; Hybrid

Rig Up is the source-to-pay solution built for energy. By combining purpose-built software with expert teams, we empower the world’s leading energy companies and their suppliers to work better, together.

Learn more about how Rig Up is equipping everyone in the energy ecosystem to operate with greater speed and efficiency at

The Senior Data Product Engineer is a full-stack data professional who owns a Data Product from end-to-end, from data ingestion and pipeline design to final business insight. The role involves partnership with internal and external stakeholders across Engineering and Business teams, and the individual serves as a subject matter expert, delivering high-quality, scalable data solutions and insights. Sitting at the intersection of data engineering and product management, the Senior Data Product Engineer combines hands‑on technical expertise with strategic vision, driving value-focused data product development and innovation.

Our Data team is on a mission to turn data into products that drive real impact across the business. We’re passionate about building reliable, scalable data solutions that help teams make better decisions and move faster. If you thrive in a dynamic environment, enjoy partnering closely with engineers and business leaders, and are excited about owning data products from end to end we’d love to hear from you.

Data Product Delivery & Optimization:

• 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

Stakeholder Engagement & Solution Alignment:

• 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

Enablement, Governance & Leadership

• 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

• Bachelor’s degree in a technical field or equivalent practical experience
• 5+ years of proven experience in business analytics, data engineering, or comparable…