Software Engineer, II Data Platform
US - Remote
- Pay
- Pay not listed
- Work setting
Remote stated — work setting source
- Employment
Full-time — employment source
Employment type in the employer’s listing: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingFetch is entering its AI-first era, and we're looking for a Backend Engineer II to join our Data Platform team.
Own Technical Problems, Not Just Tasks: Proactively identify and solve ambiguous, complex problems within your team's problem space.
What you’ll bring
All qualificationsCore experience
- 2+ years of professional software engineering experience, with a track record of increasing technical scope and ownership.
- Demonstrated ability to independently identify and scope ambiguous technical problems, then define and execute the work to solve them.
- Experience owning systems or components used by multiple teams or consumers, with attention to reliability and predictable operation.
- Experience contributing to or leading cross-team technical initiatives, including migrations or phased rollouts.
- Solid understanding of data infrastructure fundamentals — pipelines, governed data access, and delivery at scale.
- Ability to communicate technical trade-offs clearly, and to build alignment with stakeholders without relying on formal authority.
Preferred experience
- Experience with data delivery, connectors, clean rooms, DSP integrations, or similar partner-facing data infrastructure.
- Familiarity with data governance and compliance-aware system design.
- Experience modernizing legacy systems or migrating to newer architectures.
- Experience giving upward feedback or informally mentoring across levels, even without formal management experience.
Qualification wording
2+ years of professional software engineering experience, with a track record of increasing technical scope and ownership.
Demonstrated ability to independently identify and scope ambiguous technical problems, then define and execute the work to solve them.
Experience owning systems or components used by multiple teams or consumers, with attention to reliability and predictable operation.
Experience contributing to or leading cross-team technical initiatives, including migrations or phased rollouts.
Solid understanding of data infrastructure fundamentals — pipelines, governed data access, and delivery at scale.
Ability to communicate technical trade-offs clearly, and to build alignment with stakeholders without relying on formal authority.
Experience with data delivery, connectors, clean rooms, DSP integrations, or similar partner-facing data infrastructure.
Familiarity with data governance and compliance-aware system design.
Experience modernizing legacy systems or migrating to newer architectures.
Experience giving upward feedback or informally mentoring across levels, even without formal management experience.
Tools in this posting
- Kubernetes
Source — Tool mentions in context
- Mentorship experience with peer or junior engineers. - Fluency in modern software ecosystems such as Kubernetes, event streaming, CI/CD, observability tooling, and AI-assisted development workflows. - Ability to communicate technical trade-offs clearly, and to build alignment with stakeholders without relying on formal authority.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 21, 2026 · today
- Recorded sightings
- 1
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
Meet Fetch Platform Engineering
Platform engineering at Fetch is grounded in service to developers, strong ownership, and purposeful innovation. Rather than building end-user features, platform engineers focus on the foundations that other teams rely on, spanning core systems, architecture, automation, and developer workflows.
This work lives in complex problem spaces where the right answer is rarely obvious. Our engineers navigate ambiguity with data and sound judgment, understand tradeoffs, and partner closely across product and engineering to solve problems that scale. We maintain a high technical bar and value practicality, curiosity, and continuous improvement.
This is an environment for builders who enjoy shaping durable platforms, improving developer experience at scale, and enabling teams across Fetch to ship with confidence.
About the Role
Fetch is entering its AI-first era, and we're looking for a Backend Engineer II to join our Data Platform team. You'll help architect and evolve the systems that power how Fetch's data products are built, delivered, and made accessible - spanning areas like data pipelines, governed data access, delivery infrastructure, and partner-facing integrations. You'll operate at the problem level: identifying ambiguous, high-impact issues in your problem space and driving the technical solutions that resolve them. You'll be expected to bring strong technical ownership, proactively raise the bar on quality and reliability, and lead through influence across engineering and cross-functional stakeholders.
Role Responsibilities
Own Technical Problems, Not Just Tasks: Proactively identify and solve ambiguous, complex problems within your team's problem space. Define the projects needed to address systemic issues rather than waiting to be assigned them.
Drive Reliability & Quality: Set and raise the technical quality bar for your team. Initiate refactoring or system health work without being told to. Solve problems few others can, improving reliability and efficiency through code review, thoughtful rollout practices, and proactive stability improvements.
Lead Multi-System Initiatives: Operate at the problem level - defining and driving solutions for high-ambiguity issues that span multiple projects or systems. Lead major initiatives or migrations that require coordination across teams or functions, ensuring complex or phased rollouts execute smoothly.
Improve Team Efficiency: Identify new tools, processes, or platform capabilities that meaningfully improve your team's velocity and reduce operational overhead.
Shape Technical Direction: Help define the direction and goals for your team, balancing project impact, product quality, and engineering efficiency. Guide decision-making through well-reasoned trade-offs, and communicate technical strategy clearly to both technical and non-technical stakeholders.
Build Trust Across Teams: Collaborate closely with Product, TPM, and partner engineering teams. Help clarify trade-offs and decision ownership when views diverge, and work toward resolution before disagreements become blockers.
Mentor & Grow Others: Coach peers and junior engineers, invest in their growth, and provide upward feedback to managers constructively. Model accountability, transparency, and strong engineering judgment, especially under pressure.
Minimum Requirements
- 2+ years of professional software engineering experience, with a track record of increasing technical scope and ownership.
- Strong platform or backend engineering background, with experience building reliable, scalable systems; experience with data pipelines, integrations, or delivery infrastructure is a plus.
- Demonstrated ability to independently identify and scope ambiguous technical problems, then define and execute the work to solve them.
- Experience owning systems or components used by multiple teams or consumers, with attention to reliability and predictable operation.
- Track record of improving code quality, system health, or engineering practices within a team, often self-initiated.
- Experience contributing to or leading cross-team technical initiatives, including migrations or phased rollouts.
- Solid understanding of data infrastructure fundamentals — pipelines, governed data access, and delivery at scale.
- Strong code review instincts and judgment on rollout safety, monitoring, and operational risk.
- Mentorship experience with peer or junior engineers.
- Fluency in modern software ecosystems such as Kubernetes, event streaming, CI/CD, observability tooling, and AI-assisted development workflows.
- Ability to communicate technical trade-offs clearly, and to build alignment with stakeholders without relying on formal authority.
- Comfortable operating in ambiguous, evolving environments with a focus on measurable outcomes.
Preferred Requirements
- Experience with data delivery, connectors, clean rooms, DSP integrations, or similar partner-facing data infrastructure.
- Familiarity with data governance and compliance-aware system design.
- Experience modernizing legacy systems or migrating to newer architectures.
- Exposure to AdTech, MarTech, or data-monetization ecosystems.
- Track record of improving reliability, latency, or developer velocity on a data- or integration-heavy platform.
- Experience giving upward feedback or informally mentoring across levels, even without formal management experience.
Source details
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- Pay
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- Location & working pattern
US - Remote
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- Work authorization
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