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 reliable, incremental, rerunnable data pipelines from application databases and third-party systems into Snowflake.
• Design data models and pre-aggregations for interactive queries, 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 access, reliability, observability, and maintainability strategies.
• Participate in the on-call rotation and use AI-assisted development and testing tools responsibly.

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 and operating 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 with incremental loads, replays, and idempotent processing between systems.
• 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 cloud data warehouses, especially Snowflake, or comparable platforms.
• Bonus: experience with dbt or Airflow or Dagster.

Benefits

• Health coverage for employees and families, including fully paid short- and long-term disability coverage and two-times-base-salary life insurance.
• 401(k) match after 60 days with full vesting after one year, plus HSA and HRA contributions.
• Flexible vacation, eight hours of Volunteer Time Off, and eight hours of Rest, Relax, Recharge time annually.
• Mental well-being resources, including counseling, stress management, and mindfulness programs.
• Fully paid parental leave, Pawternity Leave, pet bereavement leave, and four weeks of paid caregiver leave.
• $50 monthly home data stipend and a $250 home office sign-on bonus.
• Fertility care support, financial experts, and a direct student loan payment program.
• Hybrid work arrangement based in the Seattle office two to three days per week.