Senior Analytics Engineer I

Meet Fetch AI & Data
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.
About the Role: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 Senior Analytics Engineer I 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.
What you’ll do at Fetch: 

• 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.
• Build and Optimize: Design, develop, and optimize robust, scalable data pipelines using DBT, Airflow, and cloud data platforms (e.g., Snowflake) to handle terabytes of transactional and behavioral data. Write SQL that is not just correct, but highly performant at scale.
• Enable Ad Tech Integrations: Build and maintain data models and pipelines that power activation, targeting, and measurement use cases across major advertising technology platforms, leveraging Fetch’s first-party purchase data to improve campaign precision and performance.
• Collaborate and Influence: Collaborate closely with leaders and peers in Product, Engineering, and Go-to-Market, as well as with potential clients, to translate the data product strategy into a technical reality. Influence technical decisions to ensure alignment with revenue goals and commercial sequencing.
• Data Product Mindset: Design and build data assets as reusable, productized components that drive monetization, ensuring each model serves a clear customer or commercial outcome.
• Scale for Growth: Architect and build systems designed for massive scale, supporting initiatives like our productized clean room integrations and automated custom audience creation.
• Champion Data Quality: Establish and enforce best practices for data modeling, data quality, governance, and documentation to ensure our data products are trusted and reliable measurement currency in the industry.
• Lead Performance Optimization: Take ownership of performance tuning and cost management of our data stack, ensuring our data models and queries are efficient and cost-effective.
• Enable the Business: Empower stakeholders with the analytical assets needed to drive deeper insights into ad engagement, campaign effectiveness, and monetization strategies, directly contributing to our ambitious revenue goals.

Minimum Requirements:

• 5+ years of