Note: The job is a remote job and is open to candidates in USA. Ondo Finance provides institutional-grade, blockchain-enabled investment products and services. The company is seeking a Senior Data Engineer to build its foundational data platform, migrate analytics to BigQuery, develop reliable ETL/ELT pipelines, consolidate on-chain and off-chain data, and support analytics, risk, and decision-making across the organization.
Responsibilities
- Lead 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)
- Design, 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
Skills
- 5+ years of data engineering experience building and operating production data pipelines and warehouses
- 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
- Proficiency reading and writing Go, or strong general software-engineering ability and a track record of quickly ramping on unfamiliar production codebases
- Experience with crypto-native or on-chain data, and vendors such as Allium, Dune, or Databento
- Familiarity with CockroachDB, QuestDB, Snowflake, or similar operational and analytical stores
- Experience enabling self-serve analytics and AI-over-data workflows for analytics and data science teams
- Exposure to risk, quantitative analytics, or trading microstructure data
- Deep hands-on experience with a cloud data warehouse—BigQuery strongly preferred—including performance, partitioning, and cost optimization
Benefits
- Competitive compensation including future token rights and/or equity, according to your preferences.
- Full benefits, including medical, vision, and dental coverage, plus a flexible vacation policy.
- A remote-first team across many countries.
- A+ colleagues, including alumni from Goldman Sachs, BlackRock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Coinbase, Circle, and Uniswap.
- Best-in-class investors, including Pantera Capital, Founders Fund, and Coinbase Ventures.
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