Data Platform Engineer position at Fetch.| United States Of America

Fetch Data Platform Engineer

Experience: 3-years

Pattern: Remote

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(Remote)....United States Of America

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.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 in AWS-based cloud environments supporting production systems. Familiarity with distributed data processing concepts, including batch and/or streaming systems (e.g., Spark). Proficiency in at least one programming language (Python, Java, Go, or Scala). Experience with CI/CD, Infrastructure as Code (preferably Terraform), and operating production services. Experience deploying and operating services on Kubernetes or Amazon EKS. Understanding of core distributed systems and cloud architecture principles, including scalability, availability, and fault tolerance. Strong problem-solving skills, with the ability to debug complex systems, learn quickly, and collaborate effectively across teams. Experience using AI-assisted development tools responsibly to improve development speed and code quality. Preferred Qualifications Hands-on experience with AWS data services such as S3, Glue, EMR, Kinesis, or MSK. Exposure to data orchestration or workflow frameworks (e.g., Airflow, Step Functions). Familiarity with data observability, monitoring, or operational metrics. Experience contributing to shared platform or infrastructure tooling. Exposure to Apache Spark or other distributed data processing frameworks. Interest in growing ownership across broader 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. 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, including Juneteenth and Indigenous People’s Day, 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. Learn more: Fetch Recruitment Scam Warning.

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Data Platform Engineer job opportunity at Fetch.

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