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 work - exploring unfamiliar codebases Data correctness and completeness: Own the quality of the data integrations produce: duplication 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