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Senior Data Engineer

Job in Madison, Dane County, Wisconsin, 53774, USA
Listing for: Fetch
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

What we’re building and why we’re building it. Every month, millions of people use Fetch, earning rewards for buying brands they love, and a whole lot more. Whether shopping in the grocery aisle, grabbing a bite at the drive-through or playing a favorite mobile game, Fetch empowers consumers to live rewarded throughout their day. To date, we’ve delivered more than $1 billion in rewards and earned more than 5 million five-star reviews from happy users.

Fetch is reshaping how brands and consumers connect in the marketplace. We value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. We welcome learners who move fast, challenge the status quo, and shape what’s next with us. Fetch was ranked as one of America’s Best Startup Employers by Forbes for two years in a row.

We foster a people-first culture rooted in trust, accountability, and innovation. Fetch is an equal employment opportunity employer.

Meet Fetch Engineering: At Fetch, engineering is driven by curiosity, ownership, and a bias toward action. We operate in complex problem spaces where the right answer is not always clear, and success depends on adaptability, critical thinking, and informed decision-making. Engineers at Fetch take pride in building reliable, scalable systems that serve millions of users. You will contribute directly to the codebase, collaborate closely with cross-functional partners, and help shape best practices that elevate the quality of our work.

We foster a culture of mentorship and collaboration, where engineers grow by learning from one another and holding a high bar for quality, reliability, and impact.

About

The Role

Fetch is looking for a Senior Data Engineer to join a cross-functional product team, working closely with machine learning engineers, backend engineers, and product managers to build robust data infrastructure that powers Fetch’s recommendation and audience targeting systems. In this role, you will take ownership of critical data infrastructure components, including data transformation pipelines, real-time event ingestion systems, and the data contracts that ensure reliability across our platforms.

Your work will enable downstream services and applications to access high-quality, low-latency data at scale, processing terabytes of data daily. This position requires deep technical expertise in building scalable, reliable data systems, along with strong collaboration skills to translate cross-functional requirements into durable and well-designed solutions.

What You’ll Do At Fetch (Role Responsibilities)
  • Design, build, and operate scalable data pipelines using batch and real-time processing technologies such as Apache Spark, Kafka, Flink, or managed cloud streaming services to process terabytes of data daily
  • Build data infrastructure that ingests real-time events and stores them efficiently across databases, data warehouses, and data lakes within AWS
  • Establish and enforce data contracts with backend engineering teams by implementing schema management, data quality checks, and monitoring to ensure pipeline reliability
  • Make data accessible and consumable for operational services, analytics platforms, and data-intensive product features, balancing latency, freshness, and accuracy requirements
  • Collaborate closely with backend engineers, machine learning engineers, and product partners to understand data access patterns, system constraints, and quality expectations
  • Take ownership of significant portions of the data platform architecture, driving design decisions and technical prioritization
  • Develop tools, frameworks, and recommended patterns that enable rapid development of data products and consistent pipeline deployments
  • Mentor engineers on data engineering best practices and raise the overall quality bar across the organization
  • Stay current with emerging technologies in data processing and infrastructure, evaluating their applicability and impact on Fetch systems
Focus Areas by Team

Recommendation Systems Team - In this role, you will focus on building data infrastructure that powers Fetch’s recommendation systems. You will partner closely with…

Position Requirements
10+ Years work experience
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