Data Engineer PK (Python/PySpark/AWS Glue/Amazon Athena/SQL/Apache Airflow)

Let’s be direct: We’re looking for a technical powerhouse. If you’re the developer who: Is the clear technical leader on your team Consistently solves problems others can’t crack Ships complex features in half the time it takes others Writes code so clean it could be published as a tutorial Takes pride in elevating the entire codebase Then we want to talk to you. This isn’t a role for everyone, and that’s by design. We’re seeking developers who know they’re exceptional and have the track record to prove it. What you’ll do Build, optimize, and scale data pipelines and infrastructure using Python, TypeScript, Apache Airflow, PySpark, AWS Glue, and Snowflake. Design, operationalize, and monitor ingest and transformation workflows: DAGs, alerting, retries, SLAs, lineage, and cost controls. Collaborate with platform and AI/ML teams to automate ingestion, validation, and real-time compute workflows; work toward a feature store. Integrate pipeline health and metrics into engineering dashboards for full visibility and observability. Model data and implement efficient, scalable transformations in Snowflake and PostgreSQL. Build reusable frameworks and connectors to standardize internal data publishing and consumption.