Data Engineer Jobs at Anthropic with Visa Sponsorship
Anthropic hires Data Engineers to build and maintain the infrastructure behind some of the most computationally intensive AI research in the industry. The company has a consistent track record of sponsoring work visas for technical roles, making it a realistic target for international candidates with strong data engineering backgrounds.
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Get Access To All JobsAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
Anthropic’s Finance Systems team builds and owns the infrastructure that powers our quote-to-cash lifecycle—from pricing and billing through revenue recognition and financial close. As our revenue model grows in complexity, the team is moving beyond configuring off-the-shelf platforms and into building homegrown, production-grade financial applications that no vendor has built for us yet. We are seeking a Finance Systems Engineer to join our Finance Systems team in San Francisco. In this hands-on engineering role, you will both configure and extend the third-party platforms that run our financial operations including Zuora, Stripe, and Tesorio and design, build, and own full-stack applications and integrations that sit on top of them. You will write production Python, Node.js, and React code, author Workato recipes and API integrations across our SaaS stack, administer and tune the systems themselves, and ship working software—not manage vendors or write requirements documents. You will work at the intersection of software engineering and finance, building and configuring the tools that allow our Accounting, Revenue Operations, and Order Management teams to operate efficiently, accurately, and in compliance with SOX and ASC 606 requirements. The first thing you will inherit is our homegrown ledger application and the integrations that connect it to Workday, NetSuite, Zuora, Stripe, Tesorio, and Salesforce. From there, you will help us build the next generation of Finance tooling: self-serve workflows, automated reconciliation, and the operational surfaces that let Finance move at the speed the business demands. If you thrive in fast-paced environments and enjoy building scalable financial infrastructure from the ground up, come join us in our mission to build safe, transformative AI.
Responsibilities
- Own the architecture, development, and maintenance of Anthropic's internal finance applications, and own the configuration and ongoing administration of third-party platforms such as Zuora, Workday, and Tesorio
- Build and maintain integrations across the Finance systems stack: Zuora, Stripe, Workday, NetSuite, Salesforce, Tesorio, BigQuery and Billing applications
- Design system integrations that are auditable, observable, and recoverable—with the rigor that SOX compliance demands
- Identify manual, error-prone workflows in the month-end close and automate them with tested, production-grade solutions
- Partner with Accounting, Revenue Operations, and Order Management teams to translate business requirements into scalable technical designs—and then build them yourself
- Develop and maintain technical documentation, data flow diagrams, and runbooks so the team can operate systems without engineering dependency
- Contribute to continuous delivery infrastructure so Finance systems can ship reliably and frequently
- Instrument the Finance systems stack with observability tooling so the team knows when a pipeline breaks before the accountants do
- Become the go-to domain expert for one or more areas of the revenue systems stack within your first six months
You May Be A Good Fit If You
- Have 7+ years of engineering experience and are comfortable owning full-stack builds from architecture through production deployment
- Are proficient in Python and JavaScript/Node.js; React experience is a strong plus
- Have experience building and maintaining system integrations—REST APIs, event-driven pipelines, or ETL workflows—in a production environment
- Have worked with BigQuery, Postgres, or similar data platforms and are comfortable writing SQL for analysis, debugging, and reconciliation
- Bring enough business context to ask the right questions when a Finance stakeholder explains a problem—you don’t need to be an accountant, but you need to care about getting it right
- Are comfortable working directly in systems—configuring, troubleshooting, and building solutions yourself rather than solely managing vendors
- Thrive in environments where the problem is ambiguous and the solution needs to be built from scratch
- Are energized by working close to the business—you want to see the impact of your code, not just ship features
Strong Candidates May Also
- Have experience with Workato, MuleSoft, or similar iPaaS platforms for enterprise system integration
- Have worked with Zuora, CPQ, NetSuite, Workday, or Stripe in a technical capacity
- Have built SOX-compliant systems or supported an external audit related to financial systems
- Have deep understanding with ASC 606 revenue recognition or consumption-based billing models
- Be a power user of Claude Code or similar AI-assisted development tools
- Have experience at a high-growth technology company navigating system consolidation
- Have object-oriented programming experience in Java or similar languages if Python/Node.js experience is limited
Annual Salary
$205,000—$265,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about our policy for using AI in our application process.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
Anthropic’s Finance Systems team builds and owns the infrastructure that powers our quote-to-cash lifecycle—from pricing and billing through revenue recognition and financial close. As our revenue model grows in complexity, the team is moving beyond configuring off-the-shelf platforms and into building homegrown, production-grade financial applications that no vendor has built for us yet. We are seeking a Finance Systems Engineer to join our Finance Systems team in San Francisco. In this hands-on engineering role, you will both configure and extend the third-party platforms that run our financial operations including Zuora, Stripe, and Tesorio and design, build, and own full-stack applications and integrations that sit on top of them. You will write production Python, Node.js, and React code, author Workato recipes and API integrations across our SaaS stack, administer and tune the systems themselves, and ship working software—not manage vendors or write requirements documents. You will work at the intersection of software engineering and finance, building and configuring the tools that allow our Accounting, Revenue Operations, and Order Management teams to operate efficiently, accurately, and in compliance with SOX and ASC 606 requirements. The first thing you will inherit is our homegrown ledger application and the integrations that connect it to Workday, NetSuite, Zuora, Stripe, Tesorio, and Salesforce. From there, you will help us build the next generation of Finance tooling: self-serve workflows, automated reconciliation, and the operational surfaces that let Finance move at the speed the business demands. If you thrive in fast-paced environments and enjoy building scalable financial infrastructure from the ground up, come join us in our mission to build safe, transformative AI.
Responsibilities
- Own the architecture, development, and maintenance of Anthropic's internal finance applications, and own the configuration and ongoing administration of third-party platforms such as Zuora, Workday, and Tesorio
- Build and maintain integrations across the Finance systems stack: Zuora, Stripe, Workday, NetSuite, Salesforce, Tesorio, BigQuery and Billing applications
- Design system integrations that are auditable, observable, and recoverable—with the rigor that SOX compliance demands
- Identify manual, error-prone workflows in the month-end close and automate them with tested, production-grade solutions
- Partner with Accounting, Revenue Operations, and Order Management teams to translate business requirements into scalable technical designs—and then build them yourself
- Develop and maintain technical documentation, data flow diagrams, and runbooks so the team can operate systems without engineering dependency
- Contribute to continuous delivery infrastructure so Finance systems can ship reliably and frequently
- Instrument the Finance systems stack with observability tooling so the team knows when a pipeline breaks before the accountants do
- Become the go-to domain expert for one or more areas of the revenue systems stack within your first six months
You May Be A Good Fit If You
- Have 7+ years of engineering experience and are comfortable owning full-stack builds from architecture through production deployment
- Are proficient in Python and JavaScript/Node.js; React experience is a strong plus
- Have experience building and maintaining system integrations—REST APIs, event-driven pipelines, or ETL workflows—in a production environment
- Have worked with BigQuery, Postgres, or similar data platforms and are comfortable writing SQL for analysis, debugging, and reconciliation
- Bring enough business context to ask the right questions when a Finance stakeholder explains a problem—you don’t need to be an accountant, but you need to care about getting it right
- Are comfortable working directly in systems—configuring, troubleshooting, and building solutions yourself rather than solely managing vendors
- Thrive in environments where the problem is ambiguous and the solution needs to be built from scratch
- Are energized by working close to the business—you want to see the impact of your code, not just ship features
Strong Candidates May Also
- Have experience with Workato, MuleSoft, or similar iPaaS platforms for enterprise system integration
- Have worked with Zuora, CPQ, NetSuite, Workday, or Stripe in a technical capacity
- Have built SOX-compliant systems or supported an external audit related to financial systems
- Have deep understanding with ASC 606 revenue recognition or consumption-based billing models
- Be a power user of Claude Code or similar AI-assisted development tools
- Have experience at a high-growth technology company navigating system consolidation
- Have object-oriented programming experience in Java or similar languages if Python/Node.js experience is limited
Annual Salary
$205,000—$265,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about our policy for using AI in our application process.
See all 123+ Data Engineer at Anthropic jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer at Anthropic roles.
Get Access To All JobsTips for Finding Data Engineer Jobs at Anthropic Jobs
Align your portfolio with AI infrastructure work
Anthropic's Data Engineer roles center on pipelines, data quality, and tooling that directly support model training and evaluation. Showcasing hands-on experience with large-scale ML datasets or research data workflows signals fit well before interviews begin.
Target roles during non-lottery filing periods
If you're already in the U.S. on a valid status, Anthropic can file an H-1B cap-exempt petition or time a transfer outside the April lottery window. Clarifying your current status early in the process saves negotiating time on both sides.
Prepare your degree equivalency documentation early
USCIS requires a specialty occupation determination for H-1B approval. If your degree is from outside the U.S. or in a field adjacent to data engineering, get a credential evaluation completed before your offer stage to avoid delays in filing.
Use Migrate Mate to find active Data Engineer openings
Sponsorship-willing employers aren't always obvious from generic job boards. Use Migrate Mate to filter for Data Engineer roles at companies with a verified sponsorship history, so your applications go where visa support is already established.
Negotiate your start date around LCA certification timelines
Your employer must file a Labor Condition Application with DOL and receive certification before USCIS can process your H-1B petition. Factor in at least two to four weeks for LCA certification when agreeing on a start date with your recruiter.
Data Engineer at Anthropic jobs are hiring across the US. Find yours.
Find Data Engineer at Anthropic JobsFrequently Asked Questions
Does Anthropic sponsor H-1B visas for Data Engineers?
Yes, Anthropic sponsors H-1B visas for Data Engineer roles. The company has a consistent pattern of filing petitions for technical positions, and Data Engineering falls squarely within the specialty occupation categories USCIS recognizes for H-1B eligibility. If you're subject to the annual cap, your employer would need to register you in the April lottery. If you're transferring from another H-1B employer, Anthropic can file a cap-exempt transfer at any time of year.
Which visa types does Anthropic commonly sponsor for Data Engineer roles?
Anthropic sponsors H-1B, H-1B1, and E-3 visas for Data Engineer positions. H-1B is the most widely available and covers nationals from any country. H-1B1 is specific to citizens of Chile and Singapore, while E-3 is available exclusively to Australian citizens. Each visa has different filing requirements and timelines, so your nationality determines which pathway is most practical.
What qualifications does Anthropic expect for Data Engineer roles?
Anthropic's Data Engineer postings typically emphasize experience building and maintaining data pipelines at scale, proficiency with tools like Python, SQL, and distributed processing frameworks such as Spark or Beam, and familiarity with data infrastructure supporting machine learning workflows. A bachelor's degree or higher in computer science, engineering, or a related field is standard. Research experience or prior work in an AI or ML-driven environment strengthens your application significantly.
How do I apply for Data Engineer jobs at Anthropic?
Start by identifying active Data Engineer openings on Anthropic's careers page or through Migrate Mate, which filters roles by visa sponsorship history so you can confirm support upfront. Tailor your application to highlight data infrastructure experience relevant to AI research environments. Once you receive an offer, Anthropic's recruiting team will coordinate with immigration counsel to determine the right visa category and begin the LCA filing with DOL before submitting your USCIS petition.
How do I plan my timeline if I need visa sponsorship for a Data Engineer role at Anthropic?
Timeline depends heavily on your current status. An E-3 or H-1B1 application processed at a U.S. consulate abroad can take two to six weeks depending on appointment availability. An H-1B transfer from an existing employer can begin immediately, with a receipt notice giving you work authorization from the filing date. For cap-subject H-1B cases, registration opens each March for an October 1 start, so factor up to six months between offer and your first day if you're not yet in H-1B status.
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