Tessera Labs
Data Platform Engineer
Remote in the U.S · Mid
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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
- This role is open to remote candidates, with a preference for those based in the Bay Area.
Responsibilities
- Build core data platform capabilities. Develop services and APIs for data access, query execution, ingestion, and synchronization.
- Make integrations reusable. Build connector frameworks and abstractions that support different systems and access patterns without requiring bespoke implementations.
- Own execution reliability. Build orchestration, retries, checkpointing, and observability so workloads recover predictably from failures and maintain data correctness.
- Take capabilities from design to production. Work with product and engineering teams to define interfaces, make architectural tradeoffs, and operate what you build.
- Strong Python and SQL, with experience building maintainable, tested production software.
- Experience developing backend services, data infrastructure, or data platform components, beyond configuring pipelines.
- The ability to investigate unfamiliar systems and turn complex requirements into clear, practical designs.
Requirements
- At least 2+ years of experience as a Data Platform Engineer
- Experience with concurrent or distributed workloads, including failure handling, resource management, and performance debugging.
Nice to have
- Experience with analytical query engines, lakehouse technologies, workflow orchestration, enterprise-system integrations, or containerized infrastructure.
- Familiarity with cloud infrastructure (AWS, Azure, or GCP), including networking, storage, identity and access management (IAM), and infrastructure as code.
- Work at the intersection of AI, ERP systems, and automation
- High ownership, high impact, and direct influence on product direction
- No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs' name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization.
- Any such activity conducted without explicit written consent is strictly prohibited.
Company info
- Our mission is to bring real AI automation to the enterprise-delivering speed, precision, and measurable impact.
This listing is sourced directly from Tessera Labs's careers page and normalized into a canonical job model.