Senior Data Engineer - Ondo Finance

About Ondo Finance

Ondo Finance is on a mission to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks, and ETFs, building the future of institutional-grade financial services onchain.

Founded by alumni of Goldman Sachs' Digital Assets team, we're backed by leading investors including Founders Fund, Coinbase Ventures, Pantera Capital, and Tiger Global. We are well-capitalized, growing quickly, and operate fully remotely across the U.S.

About the Role

Our Data Science team turns on-chain and off-chain data into the analytics, risk, and decision-making infrastructure behind Ondo Global Markets (tokenized stocks) and Ondo Perps. We are hiring Ondo's first Data Engineer to build the foundational data platform that this work depends on—consolidating fragmented data sources, standing up a unified warehouse in BigQuery, and making trustworthy, well-modeled data accessible across the organization.

This is a hands-on infrastructure role with end-to-end ownership. You will lead the migration of analytics into BigQuery, work directly in the Go services that power Ondo Perps to ingest additional data, and build repeatable ETL pipelines enabling data scientists, risk teams, and analytics partners to move quickly and self-serve.

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, streaming, and batch sinks).
• Design, build, and operate repeatable, well-tested ETL/ELT pipelines for the wider Data Science team.
• 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.
• Build foundational metrics and dashboards in partnership with Data Science, maintaining high standards for lineage and quality.
• Own data quality, observability, monitoring, access controls, and cost management across pipelines and the data warehouse.
• Collaborate across Data Science, Backend Engineering, Risk, and Product to translate analytical and reporting requirements into durable infrastructure.

Requirements

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

Nice to Haves

• Proficiency reading and writing Go, or strong general software engineering skills with the ability to ramp up quickly on 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 data science teams.
• Exposure to risk modeling, quantitative analytics, or trading microstructure data.

What We Offer

• Competitive compensation package including base salary, future token rights, and/or equity.
• Comprehensive medical, dental, and vision insurance.
• Flexible vacation policy.
• Fully remote, collaborative work environment with an exceptional team of alumni from top finance and tech institutions.