Fetch · 14 hours ago
Analytics Engineer
Madison, WI
Full-time
Hybrid
Senior Level
$150K/yr - $176K/yr
5+ years expFetch is a company that empowers consumers to earn rewards for their purchases and is reshaping the connection between brands and consumers. They are seeking an Analytics Engineer to lead the development of data infrastructure that supports their data monetization efforts and builds data products that serve major brands and platforms.
E-CommerceAppsLoyalty ProgramsMobile AppsShopping
Responsibilities
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
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
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
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 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
Design and build data assets as reusable, productized components that drive monetization, ensuring each model serves a clear customer or commercial outcome
Architect and build systems designed for massive scale, supporting initiatives like our productized clean room integrations and automated custom audience creation
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
Take ownership of performance tuning and cost management of our data stack, ensuring our data models and queries are efficient and cost-effective
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
Qualification
Required
5+ years of experience in analytics engineering, data engineering, or a related field, with a proven track record of building scalable data solutions
Hands-on experience working with advertising technology data structures or platforms (e.g., ad servers, DSPs, SSPs, CDPs, clean rooms, or identity graphs), and understanding how data flows support activation and measurement workflows
Demonstrates technical leadership, helping guide a team's architectural decisions, data modeling standards, and approach to complex engineering problems
Deep technical expertise in the modern data stack, including data warehousing (Snowflake, BigQuery, or Redshift), data transformation (DBT), and orchestration (Airflow)
Proficient in authoring and optimizing complex SQL, with a strong understanding of OLAP/OLTP database principles and query performance tuning
Experience architecting data models for advertising technology, including concepts like impressions, conversions, audience segmentation, and measurement/attribution
Proven ability to partner with cross-functional stakeholders to translate complex business requirements into technical solutions
Excellent communication skills, with the ability to articulate complex technical concepts to both engineering teams and non-technical business leaders
Proficiency in at least one imperative programming language (e.g., Python) and familiarity with software engineering best practices (CI/CD, automated testing)
A strategic mindset and the ability to operate effectively in a dynamic, fast-paced environment
Preferred
Experience with data monetization strategies and building Data-as-a-Service (DaaS) products
Experience in data architecture for scaled data products or revenue-linked systems preferred
Familiarity with data clean room technologies and other privacy-enhancing data collaboration methods
Direct experience working with major ad platforms, agencies, or measurement partners like Amazon, LiveRamp, or The Trade Desk
Knowledge of data privacy regulations (e.g., GDPR, CCPA) and experience building systems with a privacy-first approach
Benefits
Equity: We offer employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
401k Match: Dollar-for-dollar match up to 4%.
Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
Continuing Education: Fetch provides ten thousand per year in education reimbursement.
Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break.
Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
Flexible Work Environment: Collaborate with your team in one of our stunning offices in Madison, Birmingham, or Chicago. Or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home.
Company
Fetch
Fetch is a consumer-engagement platform that enables users to earn and redeem rewards.
501-1000 employees
H1B Sponsorship
Fetch has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
2023 (2)
2022 (1)
2021 (2)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
$691.85MKey Investors
Morgan Stanley Private CreditHamilton LaneSoftBank Vision Fund
2024-12-10Secondary Market
2024-03-20Debt Financing· $110M
2022-04-07Series E· $240M
Leadership Team
Wes Schroll
CEO & Founder
Tyler Kennedy
Co-Founder / SVP - Operations
Recent News
headline.com
2026-01-13
2025-09-17
Company data provided by crunchbase