Data Engineer - Cloud & SaaS Integrations

📋 Description

• Expanding vendor coverage: build new integrations against third-party billing and usage APIs, and
• Working AI-augmented: Use AI daily across the full span of your work - exploring unfamiliar
• Data correctness and completeness: Own the quality of the data our integrations produce
• Normalization across vendors: Design and build the models that make dozens of differently-shaped
• Pipeline ownership: Own the orchestration, scheduling, and backfill mechanics for ingestion
• Collaborating and problem-solving: Work with product, support, and the engineers building on top of

🎯 Requirements

• 3+ years of professional experience in data engineering or a data-heavy backend role, with
• Strong SQL - you can write, read and reason about the performance of non-trivial analytical queries
• Hands-on experience building and operating data pipelines with an orchestration framework. Dagster
• Strong Python, or another language you use fluently for data work
• Experience with a cloud data warehouse or analytical store (BigQuery, ClickHouse, Snowflake
• Experience integrating third-party REST APIs, including handling the realities: pagination, rate

🎁 Benefits

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