Senior Data Engineer

Ondo Finance is hiring a Senior Data Engineer for a role based in Remote (US). This Web3job summary is prepared from the company’s official listing; confirm the complete scope and requirements on the source page before applying.

Key responsibilities

• Take ownership of the migration of analytics and existing data workflows into BigQuery, establishing it as Ondo's unified, trusted warehouse and reporting layer.
• Read, understand, and extend the Go services powering Ondo Perps to ingest additional data into the warehouse (e.g. changefeeds and streaming/batch sinks from production systems).
• Shape the design of, build, and operate repeatable, well-tested ETL/ELT pipelines that the wider Data Science team can rely on and reuse.
• Consolidate fragmented and siloed data sources—internal databases (CockroachDB, QuestDB), on-chain and market-data vendors (Allium, Dune, Databento), and product analytics—into consistent, well-modeled datasets.
• Establish standards for data ingestion, transformation (e.g. dbt), orchestration, testing, lineage, and documentation so definitions are consistent and self-serve.
• Experience building foundational metrics and dashboards, with strong opinions on data lineage and quality, in partnership with Data Science.
• Own data quality, observability, monitoring, access controls, and cost management across the pipelines and warehouse.
• Partner with Data Science, Backend Engineering, Risk, and Product to turn analytical and reporting needs into durable data infrastructure.

What the team is looking for

• 5+ years of data engineering experience building and operating production data pipelines and warehouses.
• Deep hands-on experience with a cloud data warehouse—BigQuery strongly preferred—including performance, partitioning, and cost optimization.
• Strong SQL and data modeling skills, plus experience with modern transformation and orchestration tooling (e.g. dbt, Airflow, Dagflow-style schedulers, or similar).
• Experience designing batch and streaming ingestion (CDC/changefeeds, event pipelines) from operational databases into a warehouse.
• Experience building data infrastructure for fintech, trading, or other high-integrity financial systems where correctness and auditability matter.
• High standards for data quality, reliability, testing, observability, and documentation.
• Clear communication, high ownership, and a track record of delivering effectively with both technical and non-technical partners.

Source: View the original company listing and apply there.