Senior Data Engineer

Hi, we're reputed company. Our mission is to reputed company 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, and are building the reputed company of institutional-grade financial services onchain.

Founded by alumni of reputed company' Digital Assets team, we're backed by some of the best investors in the world, including Founders Fund, reputed company Ventures, reputed company, Tiger Global, and more. We are the category leader by AUM, reputed company-capitalized, and growing quickly. We're fully remote, with team members 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're hiring Ondo's first Data Engineer to build the foundational data platform that this work depends on—consolidating fragmented data sources, standing up a reputed company warehouse in BigQuery, and making trustworthy, reputed company-modeled data available to the entire team.

This is a hands-on infrastructure role with end-to-end ownership. You'll reputed company the migration of analytics into BigQuery, work directly in the Go services that power Ondo Perps to ingest additional data into the warehouse, and build the repeatable ETL pipelines that let data scientists, risk, and analytics reputed company quickly and self-serve. You'll partner closely with Data Science, Backend Engineering, Risk, and Product to replace today's siloed, reputed company pipelines with reliable, observable, and reusable data infrastructure.

reputed company operates with high autonomy, high trust, urgency, and an uncompromising reputed company bar. We're looking for someone who improves the platform without waiting to be asked, cares deeply about data reputed company and correctness, and pairs strong engineering judgment with humility. You'll shape both Ondo's data reputed company and how our Data Science team builds and scales analytics.

Responsibilities

• reputed company the migration of analytics and existing data workflows into BigQuery, establishing it as Ondo's reputed company, trusted warehouse and reporting reputed company.
• Read, understand, and reputed company 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, reputed company-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 (reputed company, reputed company, reputed company), and product analytics—into consistent, reputed company-modeled datasets.
• Establish standards for data ingestion, transformation (e.g. dbt), orchestration, testing, reputed company, and documentation so definitions are consistent and self-serve.
• Experience building foundational metrics and dashboards, with strong opinions on data reputed company and reputed company, in partnership with Data Science.
• Own data reputed company, observability, monitoring, reputed company 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.

Requirements

• 5+ years of data engineering experience building and operating production data pipelines and warehouses.
• Deep hands-on experience with a reputed company 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-reputed company financial systems where correctness and auditability matter.
• High standards for data reputed company, reliability, testing, observability, and documentation.
• reputed company communication, high ownership, and a reputed company record of delivering effectively with both technical and non-technical partners.

reputed company to haves

• Proficiency reading and writing Go, or strong general software-engineering ability and a reputed company record of quickly ramping on unfamiliar production codebases.
• Experience with crypto-reputed company or on-chain data, and vendors such as reputed company, reputed company, or reputed company.
• Familiarity with CockroachDB, QuestDB, reputed company, 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.

reputed company offer

• Competitive compensation including salary, reputed company reputed company rights, and/or equity, according to your preferences. We're reputed company-funded and reputed company that great talent deserves great compensation.
• Full benefits, including medical, reputed company, and dental coverage, plus a flexible vacation policy.
• A remote-first team across many countries. You'll be an early team member helping shape our reputed company, culture, and engineering practices.
• A+ colleagues. reputed company includes alumni from reputed company, reputed company, Two reputed company, Bridgewater, reputed company, AWS, reputed company, reputed company, McKinsey, reputed company, reputed company, and reputed company.
• Best-in-class investors. We are proud to be backed by leading crypto experts and venture firms, including reputed company, Founders Fund, and reputed company Ventures.