Starburst
About this role
Starburst provides governed access to data wherever it lives, built on the open standards Trino and Apache Iceberg, so enterprises can run analytics and AI without consolidating everything first. This role sits deliberately between software engineering and data engineering: building the internal platforms, pipelines and data products that the company runs on, using its own products to do it. The posting makes a point worth repeating, that because data engineers are one of Starburst's primary target users, you would use the product daily and feed that experience straight back into how it gets built. Expect production software (services, APIs, tooling, automation) alongside a data lake you operate. Seven years combined across both disciplines, with real depth in each.
Who this is for
What the posting asks for:
- At least 7 years of combined experience in software engineering and/or data engineering, with genuine depth in both. The posting is specific that it wants both, not one with a passing familiarity with the other.
- A Trino enthusiast, in the posting's own framing, looking to push the boundaries in an AI future.
Day to day:
- Designing, building and operating a high quality data lake and the software systems that feed it, supporting product management, finance, customer support and engineering.
- Writing production grade software including services, APIs, tooling and automation that enables data workflows and integrations at scale.
- Finding ways to use Trino and Starburst to solve complex data management and software architecture problems.
- Working with technical leads, product managers and data analysts to build data products and analytics.
- Using AI to widen access to datasets across the company, including building the software infrastructure that makes that possible.
- Enabling dataset preparation and model evaluation for Starburst's AI projects.
- Defining engineering processes and best practice spanning both software and data domains.
The team: described as dynamic, talented and globally distributed.
Location: listed simply as India, with no city named and no office policy published. Worth clarifying with the recruiter, since Starburst does not state whether this is office based, hybrid or remote.
Honest fit guidance: the dual requirement is the thing to weigh. Pure backend engineers with no data platform experience, and pure data engineers who have not shipped production services, both sit outside what this posting describes. If you have genuinely done both, this is an unusually good fit and there are not many roles written this way.
- At least 7 years of combined experience in software engineering and/or data engineering, with genuine depth in both. The posting is specific that it wants both, not one with a passing familiarity with the other.
- A Trino enthusiast, in the posting's own framing, looking to push the boundaries in an AI future.
Day to day:
- Designing, building and operating a high quality data lake and the software systems that feed it, supporting product management, finance, customer support and engineering.
- Writing production grade software including services, APIs, tooling and automation that enables data workflows and integrations at scale.
- Finding ways to use Trino and Starburst to solve complex data management and software architecture problems.
- Working with technical leads, product managers and data analysts to build data products and analytics.
- Using AI to widen access to datasets across the company, including building the software infrastructure that makes that possible.
- Enabling dataset preparation and model evaluation for Starburst's AI projects.
- Defining engineering processes and best practice spanning both software and data domains.
The team: described as dynamic, talented and globally distributed.
Location: listed simply as India, with no city named and no office policy published. Worth clarifying with the recruiter, since Starburst does not state whether this is office based, hybrid or remote.
Honest fit guidance: the dual requirement is the thing to weigh. Pure backend engineers with no data platform experience, and pure data engineers who have not shipped production services, both sit outside what this posting describes. If you have genuinely done both, this is an unusually good fit and there are not many roles written this way.
Apply on company site
Opens job-boards.greenhouse.io, the employer's own application page. Applying is always free.