Senior Data Engineer

Job not on LinkedIn

🕒 August 20

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 21%

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Logo of Ondo Finance

Ondo Finance

51 - 200 employees

₿ Crypto

💳 Fintech

💸 Finance

💰 Initial Coin Offering - Ondo Finance on 2024-01

Crypto • Fintech • Finance

Ondo is a company building institutional-grade onchain financial infrastructure and products that bridge traditional finance (TradFi) and decentralized finance (DeFi). Its offerings include tokenized public securities (Ondo Stocks) that make public securities freely transferable and usable in DeFi, USDY (a permissionless yield-bearing stablecoin), and OUSG (an institutional product offering exposure to short-term US Treasuries with 24/7 instant minting and redemptions). Ondo emphasizes compliance, institutional-grade security, third-party audits, and partnerships with asset managers and regulated service providers. The company’s Nexus technology enables instant minting and redemption for tokenized US Treasuries and stablecoins and supports omnichain issuance and distribution. Ondo works with partners like Broadridge, J. P. Morgan, Mastercard, Ripple, and asset managers to bring voting and cross-border redemption capabilities to tokenized assets.

📋 Description

• Lead migration of analytics and existing data workflows into BigQuery as the unified warehouse and reporting layer • Read, understand, and extend Go services powering Ondo Perps to ingest additional data into the warehouse • Design, build, and operate repeatable, well-tested ETL/ELT pipelines • Consolidate internal databases, on-chain and market-data vendors, and product analytics into consistent, well-modeled datasets • Establish standards for data ingestion, transformation, orchestration, testing, lineage, and documentation • Build foundational metrics and dashboards in partnership with Data Science • Own data quality, observability, monitoring, access controls, and cost management across pipelines and the 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 cloud data warehouse—BigQuery strongly preferred—including performance, partitioning, and cost optimization • Strong SQL and data modeling skills • Experience with modern transformation and orchestration tooling, such as dbt, Airflow, Dagflow-style schedulers, or similar • Experience designing batch and streaming ingestion, including CDC/changefeeds and 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 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 • Exposure to risk, quantitative analytics, or trading microstructure data

🏖️ Benefits

• Competitive compensation including salary, future token rights, and/or equity, according to your preferences • Full benefits, including medical, vision, and dental coverage • Flexible vacation policy • Remote-first team across many countries • Opportunity to help shape the company’s vision, culture, and engineering practices • A+ colleagues • Backing from leading crypto experts and venture firms

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