Analytics Engineer
Fetch
Data Science
Remote
USD 149,523-175,909 / year + Equity
Posted on Feb 14, 2026
Analytics Engineer
Office • Remote
AI & Data
Remote
Full-time
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 SoftBank, 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.
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 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.
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 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 Requirements:
- 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.
This is a full-time role that can be held from one of our US offices or remotely in the United States.
Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $149,523 - $175,909. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.
At Fetch, we'll give you the tools to feel healthy, happy and secure through:
- 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.
Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential.
Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at accommodations@fetch.com.
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Req ID: R27