Data Engineer - Cloud & SaaS Integrations

📋 Description

• Expanding vendor coverage - build new integrations against third-party billing and usage APIs, keep
• Working AI-augmented - use AI across the full span of work including exploring codebases and APIs
• Data correctness and completeness - own quality of integration data, handle duplication, gaps, race
• Normalization across vendors - design and build models to make differently-shaped vendor bills
• Pipeline ownership - own orchestration, scheduling, and backfill mechanics for ingestion pipelines
• Collaborating and problem-solving - work with product, support, and engineers to understand gaps

🎯 Requirements

• 3+ years of professional experience in data engineering or data-heavy backend role with production
• Strong SQL for writing and reasoning about analytical queries
• Hands-on experience with orchestration framework (Dagster or Airflow highly desired; Prefect, dbt
• Strong Python or another language for data work
• Experience with cloud data warehouse (BigQuery, ClickHouse, Snowflake, Redshift or similar)
• Experience integrating third-party REST APIs including pagination, rate limits, partial failures

🎁 Benefits

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance