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Senior Data Engineer

Ondo FinanceRemote (US)Software Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
20 Aug 2026
Status
Open · checked 7d ago

About this role

Ondo Finance is seeking a Senior Data Engineer to join their software engineering team remotely across the United States. This remote role is ideal for a seasoned technical professional looking to build core analytical infrastructure for institutional-grade financial services.

Role Overview

Ondo Finance is hiring its first Data Engineer to create the foundational data platform that supports Ondo Global Markets and Ondo Perps. This hands-on infrastructure position involves consolidating fragmented information sources, establishing a centralized warehouse in BigQuery, and supplying reliable data to the wider team. The individual in this role will operate with high autonomy and close collaboration alongside backend engineering, data science, risk, and product units to build scalable analytical pipelines.

Key Responsibilities

Drive the migration of existing data workflows and analytics into BigQuery to establish a centralized reporting layer.
Read, modify, and extend the Go services running Ondo Perps in order to ingest supplementary data streams and changefeeds into the warehouse.
Create, maintain, and test repeatable ETL and ELT pipelines that the data science group can reuse.
Unify fragmented sources such as internal databases, on-chain providers, market data vendors, and product analytics into clean datasets.
Set clear standards regarding data ingestion, transformation, testing, orchestration, documentation, and lineage.
Build core dashboards and foundational metrics while taking full ownership of warehouse observability, monitoring, cost management, and access controls.

Requirements

Minimum of 5 years of professional data engineering experience focused on operating production data pipelines and warehouses.
Extensive hands-on experience utilizing cloud data warehouses, with a strong preference for BigQuery, alongside performance tuning and cost optimization.
Advanced SQL and data modeling proficiency, backed by familiarity with modern transformation and orchestration tools.
Demonstrated background in designing batch and streaming data ingestion methods from operational databases directly into a warehouse.
Prior experience constructing data infrastructure within fintech, trading, or alternative high-integrity financial environments where correctness is essential.
High standards centered on data quality, testing methodologies, reliability, and clear technical documentation.

Nice to Have

Ability to read and write Go code or general software engineering expertise to quickly learn unfamiliar production codebases.
Exposure to crypto-native or on-chain data along with specific vendors such as Dune, Allium, or Databento.
Knowledge of analytical and operational stores like Snowflake, CockroachDB, or QuestDB.
Background in facilitating self-serve analytics or quantitative trading microstructure information.
Prior involvement with risk management or quantitative analytics data.

Skills and Tools

SQL
AWS
Airflow
Snowflake
dbt
BigQuery
Go
CockroachDB
QuestDB

Salary and Benefits

Competitive compensation packages that can include salary, equity, and/or future token rights based on personal preferences.
Comprehensive medical, dental, and vision insurance coverage.
Flexible vacation policy to support work-life balance.
Opportunity to operate as an early remote team member helping shape engineering practices and company culture.

About the Company

Ondo Finance focuses on delivering institutional-grade, blockchain-enabled investment products and services. The organization consists of a technology division building decentralized finance solutions alongside an asset management division creating tokenized funds. Recognized as a global leader in tokenized treasuries, stocks, and ETFs, the company was founded by alumni from Goldman Sachs and is backed by prominent investors including Founders Fund, Coinbase Ventures, Pantera Capital, and Tiger Global.

How to Apply

Interested candidates should visit the official Ondo Finance careers page to submit an application for this remote position.

Skills and tech stack

Questions candidates ask

Is this job remote?

Yes, this is a fully remote position with team members based across the United States.

What level of experience is required?

Applicants must have 5+ years of data engineering experience building and operating production data pipelines and warehouses.

What cloud data warehouse is preferred for this role?

BigQuery is strongly preferred, alongside expertise in performance, partitioning, and cost optimization.

What are some of the nice-to-have skills for this position?

Proficiency in Go, experience with crypto-native or on-chain data vendors, familiarity with Snowflake or CockroachDB, and exposure to trading microstructure data are considered nice-to-haves.

How should I apply for this role?

You should apply directly on the official company careers page.

Ready to apply?

The application is on the official Ondo Finance careers page.

Apply on company site