Senior Data Engineer

- Deep hands-on knowledge of BigQuery, including schema and table design, partitioning and clustering, query plans and performance, workload patterns, permissions, retention, and cost management - Demonstrated success designing, rearchitecting, and operating a production analytical data platform that includes a data lake or durable raw layer, a cloud data warehouse, governed data models, and business-facing data marts - Hands-on production experience building batch and streaming systems with Apache Beam and Dataflow and with Apache Airflow and Cloud Composer, including retries, idempotency, dependency management, duplicate and late-arriving events, schema evolution, replay, backfills, monitoring, and failure recovery - Demonstrated ability to operate as an autonomous senior technical owner: assess an unfamiliar environment, make architectural decisions, sequence migrations, resolve ambiguity, lead incidents, and communicate tradeoffs with both engineers and non-technical stakeholders - Experience with software-engineering practices for data systems, including Git, automated testing, CI/CD, code review, infrastructure as code such as Terraform, and clear technical documentation - Applied understanding of data governance, least-privilege access, privacy and sensitive-data handling, auditability, retention, and the controls required for financial or revenue-impacting data - Strong Python and advanced SQL skills, including the ability to write maintainable, tested production…