11X Ai
Data Engineer
USA · Mid
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- We're looking for a Data Engineer who wants to operate like a founder.
Responsibilities
- If you're excited by the idea of building the infrastructure behind AI products, shaping core systems from the ground up, and using AI to dramatically expand what one person can build - we'd love to talk.
- Someone who sees infrastructure as a product, thrives in ambiguity, and wants to build the systems that power the next generation of AI applications.
- You'll own critical pieces of the infrastructure that power our AI workers, customer data platform, and future data architecture.
- That means the systems you build won't sit behind the scenes.
- They'll determine what our AI workers can understand, what actions they can take, and how much value they can deliver.
Nice to have
- Not someone who wants to spend their time maintaining dashboards, moving tickets across a board, or optimizing pipelines in a mature environment.
- This is not a traditional data engineering role.
- The best people for this role think in systems, move with urgency, and use AI as leverage.
- Why this role is different The role of data engineering is changing.
- As AI becomes more capable, the bottleneck increasingly shifts from models to data.
- The best AI systems aren't defined by the model they're using.
- They're defined by what they know, what they can access, and how effectively they can retrieve and reason over information.
- For those workers to become more useful, more autonomous, and more intelligent, they need access to the right data at the right time.
Compensation
- $170,000-$200,000 *Final offer will be based on a variety of factors, including role level, relevant experience, skills, and job-related expertise.
Company info
- About the Role We're looking for a Data Engineer who wants to operate like a founder.
- At 11x, we're building AI workers that operate on behalf of our customers.
This listing is sourced directly from 11X Ai's careers page and normalized into a canonical job model.