RigUp

Full-stack Engineer

• 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

Senior Data Product Engineer

Accounts Receivable

• Prepare, validate, and submit client invoices accurately and on time according to contract terms and client-specific requirements.
• Reconcile timekeeping, expense, and payroll data to confirm accuracy prior to billing.
• Track and manage purchase orders (POs), cost codes, and work orders to ensure proper funding and approval alignment.
• Submit and monitor invoices through client and third-party systems (OpenInvoice, Ariba, Cortex, Fieldglass, or other VMS tools).
• Audit and maintain complete supporting documentation including jobsheets, client approvals, and project references.
• Collaborate with Payments, Payroll, and Accounting teams to resolve discrepancies and ensure data integrity prior to revenue recognition and invoice submission.
• Track submission progress and contribute to month-end reporting.
• Manage accounts receivable aging for assigned portfolios to ensure prompt payment and minimal delinquency.
• Conduct consistent outreach to client contacts and intermediaries to confirm invoice receipt, resolve disputes, and secure payment commitments.
• Log all communications, payment activity, and resolution updates within collections software for visibility and continuity.
• Partner with Sales, Account Management, and Operations to address recurring issues, coordinate on approvals, and enhance customer experience.
• Work with Managed Service Providers (MSPs) and vendor management intermediaries to ensure compliance with payment and approval processes.
• Support reconciliation of unapplied cash and assist Accounting during monthly close to ensure accuracy in financial reporting.
• Monitor client trends, flag potential risks, and communicate delays or anomalies to leadership for resolution.
• Collaborate with Sales, Account Management, and Customer Support teams to align on client status, open issues, and strategic account priorities.
• Partner with broader Financial Operations functions (Payroll, Payments, Invoicing, Cash, Credit, and Collections) to resolve complex account reconciliations or delinquent balances.
• Participate in audits and process reviews, ensuring documentation and reporting meet internal and client standards.
• Coordinate with Data, Systems, and Engineering teams to enhance process automation, reporting accuracy, and system integration.
• Identify and communicate recurring process challenges; propose improvements and support implementation of new workflows or documentation updates.
• Contribute to team meetings, training sessions, and cross-functional initiatives that strengthen collaboration and operational consistency.

Senior Data Product Engineer

Accounts Receivable Operations Specialist