Senior/Staff Data Engineer

📋 Description

• Own our Data Platform Engineering architecture. Set technical direction for core data systems, lead
• Build and operate trusted data pipelines. Develop ingestion services, integrations, and pipelines
• Evolve our orchestration platform. Own workflow execution, worker infrastructure, upgrades, and
• Own warehouse reliability, performance, and access. Improve our BigQuery environment, including
• Build cloud services and infrastructure. Develop APIs, event-driven ingestion, and reusable
• Establish engineering standards. Improve version control, CI/CD, testing, documentation, and

🎯 Requirements

• 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field.
• Deep expertise in modern cloud data warehouses such as BigQuery, Databricks, or Snowflake.
• Strong Python and SQL skills with hands-on experience building ingestion and ELT pipelines.
• Experience operating orchestration platforms such as Prefect, Airflow, or Dagster.
• Hands-on experience with cloud infrastructure and infrastructure as code, using Terraform or
• Experience building cloud applications or backend services, including APIs, ingestion services, and

🎁 Benefits

• 4 weeks of paid vacation.
• 14 weeks of fully paid parental leave for all parents.
• Long-term disability, life insurance, and 401K plans.
• 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a
• Monthly lifestyle stipend for wellness, mental health, and hobbies.
• Monthly cell phone and internet subsidy.