Senior Data Engineer
Ondo helps institutions and individuals access traditional financial assets on blockchain through tokenized US Treasuries and investment products.
Maintainer signals as of 8/23/2026
Funding history
Projects
About Ondo
Ondo brings traditional financial assets onchain through institutional-grade platforms and infrastructure. The protocol offers tokenized US Treasuries and investment products with daily yield distributions, while developing Ondo Chain, a Layer 1 blockchain optimized for real-world assets. Products include USDY for non-US investors and OUSG for qualified purchasers, supported by regulated custodians and audited smart contracts.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build the foundational data platform by migrating analytics into BigQuery, extending Go services for data ingestion, and creating reusable ETL and ELT pipelines. You will consolidate operational, on-chain, market, and product data while establishing standards for modeling, orchestration, testing, lineage, documentation, quality, observability, access, and cost management.
Requirements
- 5+ years of data engineering experience building and operating production data pipelines and warehouses
- Hands-on experience with a cloud data warehouse with BigQuery strongly preferred
- Experience with warehouse performance partitioning and cost optimization
- Strong SQL and data modeling skills
- Experience with transformation and orchestration tooling such as dbt Airflow or similar schedulers
- Experience designing batch and streaming ingestion from operational databases into a warehouse
- Experience building data infrastructure for fintech trading or other high-integrity financial systems
- High standards for data quality reliability testing observability and documentation
- Clear communication and high ownership
- Ability to work effectively with technical and non-technical partners
Responsibilities
- Migrate analytics and existing data workflows into BigQuery
- Extend Go services to ingest additional production data
- Design build and operate repeatable ETL and ELT pipelines
- Consolidate internal database on-chain market-data and product analytics sources
- Establish standards for ingestion transformation orchestration testing lineage and documentation
- Build foundational metrics and dashboards
- Own data quality observability monitoring access controls and warehouse cost management
- Partner with technical and analytical stakeholders to create durable data infrastructure
Benefits
- Future token rights and/or equity
- Medical vision and dental coverage
- Flexible vacation policy
- Remote-first work arrangement