Data Engineer - Cloud & SaaS Integrations

📋 Description

• Expanding vendor coverage: Build new integrations against third-party billing and usage APIs, get
• Working AI-augmented: Use AI daily across the full span of work - exploring unfamiliar codebases
• Data correctness and completeness: Own quality of data integrations produce - duplication, gaps
• Normalization across vendors: Design and build models making dozens of differently-shaped vendor
• Pipeline ownership: Own orchestration, scheduling, 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 - write, read and reason about performance of non-trivial analytical queries.
• Hands-on experience building and operating data pipelines with orchestration framework; Dagster or
• 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 including pagination, rate limits, partial failures

🎁 Benefits

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