# Senior Software Engineer II, Data Platform

**Company:** [Fetch](https://hotfix.jobs/companies/fetch)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $176k – $207k/yr
**Experience:** 8+ years
**Skills:** Kubernetes, Event Streaming, CI/CD, Observability, Data Pipelines, Data Governance, Backend Engineering, Platform Engineering, Data Infrastructure, System Migrations, Clean Rooms, Dsp Integrations, Ai-Assisted Development, Monitoring, Code Review
**Posted:** 2026-08-18

> Senior software engineer building and evolving Fetch’s data platform, including pipelines, governed data access, delivery infrastructure, and partner integrations. The role requires 8+ years of experience, strong platform or backend expertise, ownership of complex cross-team initiatives, and excellent technical judgment.

## Job Description

## Responsibilities
- Identify and solve ambiguous, complex technical problems within the team’s problem space.
- Define and drive solutions spanning multiple projects or systems, including migrations and phased rollouts.
- Raise standards for code quality, reliability, operational safety, and engineering efficiency.
- Improve team velocity and reduce operational overhead through tools, processes, and platform capabilities.
- Shape technical direction, communicate trade-offs, and align technical and non-technical stakeholders.
- Collaborate with Product, TPM, and partner engineering teams.
- Mentor peers and junior engineers and provide constructive upward feedback.

## Requirements
- 8+ years of professional software engineering experience with increasing technical scope and ownership.
- Strong platform or backend engineering experience building reliable, scalable systems.
- Experience independently scoping and executing solutions to ambiguous technical problems.
- Experience owning systems used by multiple teams or consumers.
- Experience improving code quality, system health, engineering practices, or operational reliability.
- Experience contributing to or leading cross-team initiatives, migrations, or phased rollouts.
- Understanding of data infrastructure fundamentals, including pipelines, governed data access, and delivery at scale.
- Strong judgment regarding code reviews, rollout safety, monitoring, and operational risk.
- Mentorship experience with peer or junior engineers.
- Fluency in modern software ecosystems, including Kubernetes, event streaming, CI/CD, observability tooling, and AI-assisted development workflows.
- Ability to communicate technical trade-offs and build alignment without formal authority.
- Comfort working in ambiguous, evolving environments with 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.
- Experience improving reliability, latency, or developer velocity on data- or integration-heavy platforms.
- Experience providing upward feedback or mentoring across levels without formal management responsibility.

## Compensation and Benefits
- Base salary range: **$175,591–$206,578 USD**.
- Equity for full-time employees.
- Dollar-for-dollar 401(k) match up to 4%.
- Medical, dental, and vision plans, including pet coverage.
- Continuing education support.

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