Software Engineer (Data Infrastructure)

• In this role, you’ll design and develop the foundational systems that power the flow of data across the company, enabling fast insights and smarter decisions as we grow. Our mission is to create a platform that turns raw information into actionable intelligence — efficiently, reliably, and at scale
• Design and build resilient systems for real-time data movement, processing, and storage
• Scale data infrastructure to support our rapidly growing business needs
• Unlock actionable insights by enabling seamless, governed access to high-quality, trustworthy data
• Drive innovation in data ingestion, transformation, and delivery across the company
• Establish best practices that balance performance, flexibility, and governance at scale

Benefits

• Compensation: With highly competitive salaries and equity option packages, everyone’s an owner here.
• Hybrid Working: You can mix and match working from our Mountain View or San Francisco office, plus a couple days from home.
• Social Gatherings: Quarterly gatherings in the Bay Area for some team real fun and authentic connection.
• Health and Wellness: Comprehensive medical, dental, vision, life insurance, disability, and wellness benefits that start the first day you do.
• PTO: Start with a minimum of 15 days of paid time off, plus up to 18 weeks for maternity leave and 8 weeks for paternity leave.
• 401(k): Plans to help meet your retirement goals because we care about your future.

• Has experience with cloud platforms (preferably AWS) and containerization tools (e.g., Docker, Kubernetes)
• Has experience with streaming and big data processing frameworks (e.g., Kafka, Spark)
• Has implemented CDC solutions (e.g., Debezium, Maxwell)
• Has a Bachelor’s or Master’s degree in Computer Science or a related field
• 3+ years in data infrastructure
• Is experienced with workflow orchestration systems (e.g., Apache Airflow, Dagster, Prefect)
• Has expertise with cloud data lakes such as Snowflake or Databricks
• Has strong programming skills, preferably in Python or Java
• Exposure to data governance, PII handling, or policy-driven access control — e.g., RBAC at scale, SQL-level data masking, or policy compiler / lineage systems