Jobs / United States / Bitgo INC
Senior Data Engineer
Bitgo INC · 🇺🇸 Palo Alto, California, United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 9 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Bitgo INC paid sponsored hires in similar roles4 certified filings for “Software Engineer - E2” (Software Developers) in CA: $188k–$200k, median $188k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Bitgo INC
The US Department of Labor certified 9 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Bitgo INC →
About the role
BitGo (NYSE: BTGO) is the digital asset infrastructure company delivering custody, wallets, staking, trading, financing, stablecoins, and settlement services from regulated cold storage. Since 2013, BitGo has focused on accelerating the transition of the financial system to a digital asset economy. BitGo maintains a global presence and multiple regulated entities, including BitGo Bank & Trust, National Association, the first federally chartered digital asset trust bank owned by a publicly traded company. Today, BitGo serves thousands of institutions, including many of the industry's top brands, financial institutions, exchanges, and platforms, and millions of investors worldwide. For more information, visit www.bitgo.com . This role will require being full-time onsite at our Palo Alto office to support collaborative team dynamics and innovative problem-solving. BitGo is seeking a skilled Senior Data Engineer to join our Data Engineering team and help build, scale, and optimize our data platform, reporting infrastructure, and data-driven products. The ideal candidate has a strong track record as both a Software Engineer —developing and scaling applications that support our product suite — and a Data Engineer — designing and implementing robust data infrastructure to move and transform data efficiently. At BitGo, Data Engineering plays a critical role in enabling insights and innovation. You will be responsible for developing and maintaining the platform that makes data accessible and actionable for other engineering and product teams, empowering them with the tools and frameworks needed to seamlessly integrate data into their products. You'll collaborate closely with talented engineers, analysts, data scientists, product managers, and security experts across multiple domains, gaining exposure to all facets of our business. This is a unique opportunity to contribute to a high-impact team at the forefront of digital asset security and financial technology. Responsibilities: • Design, build, and maintain scalable, reliable data pipelines that collect, transform, and curate data from internal systems. • Integrate select external data sources to enrich the data platform. • Develop applications that support customer-facing products and internal systems. • Enhance and expand BitGo’s blockchain reporting infrastructure and automated reconciliation systems. • Ensure high data quality and auditability across all pipelines. • Optimize data systems for near real-time processing and insights. • Develop and customize self-service tools, empowering data consumers to efficiently extract and analyze data from BitGo’s large-scale data platform. • Research, evaluate, and prototype new technologies to drive continuous improvement in data engineering. Skills & Experience: We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: delivering trust in digital assets. Required • Engineering degree in Computer Science or equivalent • 6+ years of combined Software Engineering AND Data Engineering work experience • Strong experience with server-side languages like TypeScript/Node.JS/Python • Strong experience with SQL databases like Postgres or MySQL • Strong experience with RESTful API design • Experience building data pipelines/ETL and familiarity with design principles • Experience with data warehouse technologies and relevant data modeling best practices (Snowflake, BigQuery, Spark, Presto, Druid, etc) • Strong experience with systems design and event driven systems (Kafka) • A self-starter capable of adapting quickly and being decisive • Experience with unit and functional t