As a Data Platform Engineer at Fetch, you'll build and maintain data ingestion pipelines, operate cloud-native services, and collaborate across teams to enhance data reliability and access.
What we’re building and why we’re building it.
Fetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. To date, we’ve awarded more than $1 billion in Fetch Points to our users.
Each day, more than 13 million receipts are submitted on Fetch, providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers.
The Fetch app is available on the App Store and Google Play, with more than 6 million five-star reviews from a highly engaged and loyal user base.
It’s not just our users who believe in Fetch: with investments from Softbank, ICONIQ, DST, Greycroft, 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.
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 building a modern, cloud-native data platform that powers analytics, experimentation, and machine learning across the company. As a Data Platform Engineer, you’ll focus on building and operating reliable data ingestion pipelines and core platform services that enable teams to work with data at scale.
This role is ideal for engineers who enjoy hands-on execution, learning distributed systems, and growing their platform engineering skill set while working closely with senior engineers on complex systems.
You’ll partner with product, analytics, and engineering teams to ensure data is ingested, processed, and made available reliably, while maintaining strong operational excellence across the platform.
What You’ll Do:
Build & Operate Data Pipelines
- Design, implement, and maintain data ingestion pipelines using AWS-native data tools and distributed processing frameworks.
- Support batch and streaming ingestion patterns with a focus on reliability, scalability, and observability.
Platform Operations & Reliability
- Operate and improve core data platform services, addressing incidents, performance issues, and operational toil.
- Implement monitoring, alerting, and runbooks to improve platform stability and on-call readiness.
Distributed Systems Support
- Work with distributed data processing systems (e.g., Spark-based workloads) and orchestration frameworks.
- Debug production issues across compute, storage, and networking layers.
Infrastructure & Automation
- Contribute to Infrastructure as Code (Terraform, CloudFormation, or CDK) and CI/CD workflows.
- Help improve automation around deployments, scaling, and platform maintenance.
Cross-Team Collaboration
- Partner with data producers and consumers to onboard pipelines, troubleshoot issues, and improve platform usability.
- Learn and apply platform standards and best practices defined by senior engineers.
AI-Assisted Engineering
- Use AI-assisted tools to accelerate development, troubleshoot issues, and validate infrastructure or pipeline code—while ensuring correctness, security, and performance through testing and review.
Minimum Qualifications
- 3+ years of experience in data platform, data engineering, or platform engineering roles.
- Experience working with AWS and cloud-based data tooling.
- Familiarity with distributed data processing concepts (e.g., Spark, batch and/or streaming systems).
- Proficiency in at least one programming language (Python, Java, Go, or Scala preferred).
- Experience with CI/CD, Infrastructure as Code, or operating production systems.
- Ability to learn quickly, debug complex systems, and collaborate effectively across teams.
- Experience using AI-assisted development tools responsibly to improve development speed and quality.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Preferred Qualifications
- Hands-on experience with AWS data services (e.g., S3, Glue, EMR, Kinesis, MSK).
- Exposure to data orchestration frameworks or workflow engines (e.g., Airflow, Step Functions).
- Familiarity with data observability, monitoring, or operational metrics.
- Interest in growing ownership across platform or distributed systems domains.
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 $119,000 - $140,000. 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 full-time 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, 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. (applicable for most roles)
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 [email protected].
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