Senior Data & Analytics Engineer

Role Overview

The Senior Data & Analytics Engineer will own the reliability and evolution of the company’s data and analytics infrastructure, including data models, the warehouse, pipelines, integrations, and billing data. This role moves beyond reporting into data modeling, analytics architecture, instrumentation strategy, and cross-functional enablement.

What You Will Do

Design, build, and maintain scalable analytics data models, build and maintain ETL/ELT pipelines and data transformations, own source-of-truth definitions and reconcile data across application, billing, and analytics systems, and ensure data integrity, consistency, and governance across systems.

Why It Might Be a Fit

This is a senior individual-contributor role that requires ownership of both technical quality and business outcomes, with a strong attention to detail and commitment to data accuracy, self-sufficiency and sound judgment, fast learning and adaptability, and proactivity and a willingness to identify and solve problems without waiting for detailed direction.

Requirements

• 5+ years of experience in analytics engineering, analytics, or related data-focused roles, preferably in a SaaS environment
• Strong proficiency in SQL (advanced querying, modeling, performance optimization)
• Experience using Python for data analysis and automation
• Experience designing, building, and maintaining databases, data warehouses, ETL/ELT pipelines, and integrations across multiple business systems
• Experience with cloud data infrastructure; AWS experience is preferred
• Strong understanding of SaaS metrics (MRR, churn, CAC, LTV, retention cohorts, subscription analytics)

Benefits

• 15 days of paid time off in your first year, increasing to 20 days in your second year
• Paid company-observed U.S. holidays
• Reimbursement of up to USD $125 per month toward your own medical coverage