1 month ago
Seattle, WA, USAMid Level
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.
About Storable
Storable builds a connected software platform for specialty real estate operators, centered on self-storage with expansion into marine and RV/campgrounds. Its B2B suite combines property-management software with marketplace listings, websites, CRM, payments, and tenant insurance, sold as subscription software and ancillary services. Founded in 2019 and headquartered in Austin, Texas, Storable is owned by EQT and reports powering over 33,000 self-storage facilities.