Analytics Engineer

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.

It’s not just our users who believe in Fetch: with investments from Soft Bank, Univision, and Hamilton Lane, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points.

User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.

At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people‑first culture rooted in trust, accountability, and innovation.

We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.

Fetch is an equal employment opportunity employer.

AI & Data at Fetch sit at the center of how we understand our business, make decisions, and build intelligent products. The organization operates as an integrated AI & data ecosystem, spanning multiple disciplines, including data engineering, analytics engineering, machine learning, experimentation, and data platforms, all working together to turn data into durable business and customer impact.

Teams operate in complex problem spaces where requirements evolve, tradeoffs are constant, and the right answer is rarely obvious. Success depends on strong technical judgment, comfort with ambiguity, and the ability to gather context and make informed decisions while balancing quality, performance, scalability, and responsible use.

Practitioners across this org contribute hands‑on to production systems, analytical foundations, and intelligent features. You will collaborate closely with product, platform, and engineering partners, help shape standards and best practices, and ensure our AI and data capabilities scale reliably as Fetch grows.

Fetch is at a major inflection point. With a rich dataset encompassing over $100B in deterministic, item‑level consumer purchase data, we are strategically shifting to scale our data monetization efforts and build a suite of world‑class data products. Our vision is for Fetch data to power every activation decision in the advertising ecosystem, directly or indirectly.

We are seeking a Analytics Engineer to be a technical leader on the team building the foundational data infrastructure that will unlock this potential. You will take a leading role in architecting and scaling the data pipelines and models that underpin our Data business, including our Audiences, Measurement, and FAST products. This is a critical, hands‑on role that combines deep technical expertise with strategic thinking and technical mentorship.

You will be instrumental in transforming our raw data into productized, outcome‑driven assets that serve the world’s largest brands and platforms.

• Technical Leadership and Mentorship: Act as a technical leader and mentor for other engineers on the team. Drive technical excellence, lead by example on engineering best practices, and contribute to raising the bar for the entire team.
• Architect and Design: Play a pivotal role in designing and architecting the data infrastructure that powers our data monetization products. Make key decisions on data modeling, pipeline construction, and tooling to ensure scalability and reliability.
• Buil…