Staff Data Engineer

• Architect, design, lead and build end-to-end performant, reliable, scalable data platform
• monitor, investigate, triage, and resolve production issues as they arise for services owned by the team
• mentor, guide and work with junior engineers to deliver complex and next-generation features
• partner with engineering, product, design, and other stakeholders in designing and architecting new features
• create and maintain data pipelines and foundational datasets to support product/business needs
• experiment with rapid MVPs and encourage validation of customer needs
• design and build database architectures with massive and complex data
• develop audits for data quality at scale
• create scalable dashboards and reports to support business objectives and enable data-driven decision-making
• troubleshoot and resolve complex issues in production environments.

• 10+ years of designing, implementing and delivering highly scalable and performant data platform
• experience building large-scale (100s of Terabytes and Petabytes) data processing pipelines - batch and stream
• experience with ETL/ELT, stream and batch processing of data at scale
• expert level proficiency in PySpark, Python, and SQL
• expertise in data modeling, relational databases, NoSQL (such as MongoDB) data stores
• experience with big data technologies such as Kafka, Spark, Iceberg, Datalake, and AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.)
• an understanding of Graph and Vector data stores (preferred)
• knowledge of security best practices and data privacy concerns
• strong problem-solving skills and attention to detail
• experience/knowledge of data processing platforms such as Databricks or Snowflake.

An understanding of Graph and Vector data stores.

• A fast-paced and collaborative environment
• learning and development allowance
• competitive cash and equity compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• up to $25K reimbursement for fertility, adoption, and parental planning services
• flexible PTO policy
• monthly wellness stipend
• home office stipend
• in-office perks such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages.