Software Engineer, II Data Platform

Fetch • US - Remote,

1d

About The Position

Fetch is seeking a Backend Engineer II to join its Data Platform team as the company enters its AI-first era. The role helps architect and evolve systems that power how Fetch's data products are built, delivered, and accessed, including data pipelines, governed data access, delivery infrastructure, and partner-facing integrations. The engineer operates at the problem level, identifying ambiguous, high-impact issues and driving technical solutions. The role calls for strong technical ownership, proactive attention to quality and reliability, and leadership through influence across engineering and cross-functional stakeholders.

Fetch Platform Engineering focuses on the foundations other teams rely on, including core systems, architecture, automation, and developer workflows. The environment involves complex and ambiguous problems, data-informed judgment, practical trade-offs, and close collaboration across product and engineering. Platform engineers build durable platforms, improve developer experience at scale, and enable teams to deliver confidently.

Requirements

• At least 2 years of professional software engineering experience, with increasing technical scope and ownership.
• Strong platform or backend engineering background and experience building reliable, scalable systems.
• Ability to independently identify and scope ambiguous technical problems, then define and execute 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 through self-initiated work.
• Experience contributing to or leading cross-team technical initiatives, including migrations or phased rollouts.
• Solid understanding of data infrastructure fundamentals, including pipelines, governed data access, and delivery at scale.
• Strong code review judgment and understanding of 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 clearly communicate technical trade-offs and build stakeholder alignment without relying on formal authority.
• Comfort operating in ambiguous, evolving environments with a focus on measurable outcomes.

Nice To Haves

• 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.

Responsibilities

• Proactively identify and solve ambiguous, complex problems within the team's problem space, and define projects that address systemic issues.
• Set and raise the team's technical quality bar; initiate refactoring and system-health work; improve reliability and efficiency through code review, thoughtful rollouts, and proactive stability improvements.
• Define and drive solutions for high-ambiguity issues spanning multiple projects or systems, and lead major initiatives or migrations across teams or functions, ensuring smooth complex or phased rollouts.
• Identify tools, processes, or platform capabilities that improve team velocity and reduce operational overhead.
• Help define the team's technical direction and goals, balance project impact, product quality, and engineering efficiency, guide decisions through well-reasoned trade-offs, and communicate technical strategy to technical and non-technical stakeholders.
• Collaborate with Product, TPM, and partner engineering teams; clarify trade-offs and decision ownership when views diverge, and work toward resolution before disagreements become blockers.
• Coach peers and junior engineers, invest in their growth, provide constructive upward feedback to managers, and model accountability, transparency, and sound engineering judgment.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed