Senior Data Engineer

We're looking for a Senior Data Engineer to build and scale data pipelines, platforms, and infrastructure to support data-driven decision making at petabyte scale.

Requirements

• Design, build, and operate batch + real-time pipelines ingesting 1M+ events/sec from app, logs, and 3rd party sources
• Transform messy raw data into clean, tested, documented marts that 1000+ users trust
• Orchestrate 1000+ DAGs with Airflow: SLAs, retries, backfills, dependency management
• Optimize Spark/Flink jobs that process TBs daily
• Improve query performance: BigQuery, Snowflake, Trino, or ClickHouse. Sub-second SLAs on billion-row tables
• Build self-serve tooling: data ingestion frameworks, CI/CD for data, testing harnesses
• Manage data infra: Kafka, Spark, Airflow, dbt. Upgrades, scaling, cost optimization
• Implement data contracts, schema evolution, and breaking change detection with producers
• Build observability: freshness, volume, schema, and distribution checks. Great Expectations, Monte Carlo, or custom
• Own lineage and cataloging. If someone asks where did this number come from?, you can answer in 30 sec
• Partner with Analytics Eng, DS, and Product to understand data needs and ship solutions fast
• Translate vague requests like I need user data into versioned, tested, documented datasets
• Mentor mid-level DEs. Review designs, PRs, and raise the bar for data engineering
• Kill tech debt. Deprecate unused tables. Archive cold data. FinOps is part of the job

Benefits

• 401k Matching
• Retirement Plan
• Generous Paid Time Off