Software Engineer, II Data Platform

Fetch is hiring a Software Engineer II for its Data Platform team. The role involves architecting and evolving data platform systems, including pipelines, governed data access, delivery infrastructure, and partner integrations. The engineer will drive complex technical solutions, improve reliability and quality, and collaborate across teams.

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

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
• 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
• experience with data pipelines, integrations, or delivery infrastructure is a plus
• 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