Software Engineer II, Analytics Platform

Responsibilities

• Build and operate production services and APIs for customer and internal analytics, including API design, authorization, latency, caching, testing, deployment, and operational support.
• Build incremental, reliable, rerunnable, and idempotent pipelines that move data from application databases and third-party systems into Snowflake.
• Design data models and pre-aggregations for interactive queries and consistent results across dashboards, exports, and AI agents.
• Improve platform quality and efficiency through automated tests, freshness checks, alerting, query optimization, and Snowflake cost management.
• Partner with analysts and application teams to turn reporting, customer analytics, and AI use cases into shipped features and documented datasets.
• Design integration, replay, recovery, secure multi-tenant authorization, observability, and reliability strategies.
• Participate in the on-call rotation and use AI-assisted development and testing tools to improve engineering speed and quality.

Requirements

• 3+ years of professional software engineering experience or equivalent experience delivering production systems.
• Experience building and operating production services or data-intensive applications, including testing, deployment, monitoring, and operational support.
• Experience designing production services, including APIs, latency, failure modes, and on-call responsibilities.
• Experience building analytics features or data products for customer-facing applications.
• Strong SQL skills and experience modeling large relational datasets, including grain, keys, history, joins, and performance tradeoffs.
• Experience moving data reliably between systems through incremental loads, replays, and idempotent processing.
• Demonstrated experience using AI-assisted tools to improve software development quality, speed, or reliability.
• Experience designing secure, multi-tenant authorization for analytics products.
• Experience building BI dashboards or semantic and metrics layers.
• Experience managing warehouse performance, query optimization, and operating cost.
• Ability to work onsite in the Seattle, Washington area two to three days per week.
• Bonus: experience with Snowflake or comparable cloud data warehouses, and with dbt, Airflow, or Dagster.

Benefits

• Health coverage for employees and families, including paid disability coverage and life insurance.
• 401(k) matching, HSA employer contributions, and HRA support.
• Flexible vacation, volunteer time off, rest and recharge time, and paid parental, caregiver, pet-related, and bereavement leave.
• Mental well-being resources, fertility care support, financial guidance, and student loan payment program.
• Home data stipend and home-office support.
• Hybrid work arrangement based in the Seattle office two to three days per week.