Senior Data Engineer

You'll design, build, and own data pipelines and integrations end-to-end — new customer sources, new connectors, and the transforms and data models behind them. We're looking for someone who takes full ownership of what they build and is a strong prospect to grow into a Senior Data Engineer in the near future.

Responsibilities:

• Build new integrations end-to-end — source connectors (SaaS APIs via Nango, API-key sources via Python clients, warehouse sources), the extract/transform/load code, and the data models that land clean data into our ClickHouse silver/gold tables.
• You own your pipelines from first line to production.
• Design transforms and data models for the sources you own — deciding how a new customer's data maps into our shared schema, not just implementing someone else's spec.
• Write clean, tested, idempotent pipeline code to our engineering standards — unit tests, schema/data-quality validation, structured logging, docstrings.
• Onboard new customers — bring up their sources, map their entities, and solve the data-quality and modelling quirks that make every customer different.
• Own the operability of what you build — freshness checks, backfills, and fixing your pipelines when they break (because the person who built it fixes it best).
• Contribute to the shared platform and to code reviews; write the runbooks and data dictionaries for the pipelines you own.

Requirements:

• 2-3 years of professional data engineering (or backend engineering with substantial data work).
• Strong Python — clean, typed, testable code; comfortable with pandas/polars or equivalent for transforms.
• Solid SQL and understanding of relational/columnar data modelling; able to write and reason about non-trivial queries.
• Experience building ETL/ELT pipelines and consuming REST APIs (auth, pagination, rate limits, retries).
• Familiarity with cloud data infra — AWS (S3 especially), containers/Docker, and a warehouse or OLAP store (ClickHouse, BigQuery, Snowflake, Redshift, or similar). Version control (Git) and working within a PR/code-review flow.