Builds and scales data infrastructure including warehouses, lakehouses, Spark pipelines, streaming, and orchestration to enable data-driven decisions and ML at Plaid. Requires 5+ years experience in data platforms, strong system design, and leadership.
Lead analytics engineering for Reddit's Sales and Marketing teams, building scalable data pipelines, ETLs, dashboards, and self-service tools to empower data-driven decision making. Requires 4-5+ years experience with large-scale ETL systems, Python/SQL, and data modeling; advanced quantitative degree required.
Builds and owns scalable SQL/Python data pipelines, golden datasets, and workflows using DBT, Airflow, Redshift for large-scale data (500TB+). Collaborates cross-functionally to enable data-driven decisions at Plaid. Requires 4+ years data engineering experience.
Senior backend/infrastructure engineer expanding Sentry's time-series data platform (Snuba/ClickHouse) to handle petabyte-scale events with sub-second latency. Requires 4+ years experience and distributed storage expertise.
Jellyfish is seeking a Senior Data Engineer to build, automate, and execute the next generation of their data platform. The role involves maintaining end-to-end data pipelines, modernizing orchestration, and automating data infrastructure.
Leads development and architecture of client-facing data platform using Palantir Foundry in a low/no-code environment. Collaborates with Product and Design teams, applies software engineering best practices, and requires 7+ years experience with bachelor's in quantitative field.