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 daily across the full span of work - exploring codebases, prototyping
• Data correctness and completeness: Own the quality of data integrations produce, including
• 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 and

🎯 Requirements

• 3+ years of professional experience in data engineering or a data-heavy backend role, with
• Strong SQL: write, read and reason about performance of non-trivial analytical queries.
• Hands-on experience with orchestration frameworks; Dagster or Airflow highly desired, Prefect, dbt
• Strong Python or another language used fluently for data work.
• Experience with cloud data warehouse or analytical store (BigQuery, ClickHouse, Snowflake, Redshift
• Experience integrating third-party REST APIs, handling pagination, rate limits, partial failures

🎁 Benefits

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