[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. Fetch is a company that helps people live rewarded every day, aiming to become the rewards destination for everyone. They are seeking a Senior Data Engineer to join a cross-functional product team, responsible for building robust data infrastructure that powers Fetch’s recommendation and audience targeting systems.

Responsibilities

• Design, build, and operate scalable data pipelines using batch and real-time processing technologies such as Apache Spark, Kafka, Flink, or managed cloud streaming services to process terabytes of data daily
• Build data infrastructure that ingests real-time events and stores them efficiently across databases, data warehouses, and data lakes within AWS
• Establish and enforce data contracts with backend engineering teams by implementing schema management, data quality checks, and monitoring to ensure pipeline reliability
• Make data accessible and consumable for operational services, analytics platforms, and data-intensive product features, balancing latency, freshness, and accuracy requirements
• Collaborate closely with backend engineers, machine learning engineers, and product partners to understand data access patterns, system constraints, and quality expectations
• Take ownership of significant portions of the data platform architecture, driving design decisions and technical prioritization
• Develop tools, frameworks, and recommended patterns that enable rapid development of data products and consistent pipeline deployments
• Mentor engineers on data engineering best practices and raise the overall quality bar across the organization
• Stay current with emerging technologies in data processing and infrastructure, evaluating their applicability and impact on Fetch systems
• Building and maintaining feature store infrastructure to support efficient feature development, discovery, and reuse across recommendation models
• Designing and operating low-latency feature serving systems that power real-time recommendation APIs for both training and inference workloads
• Implementing monitoring and quality checks to ensure feature freshness, accuracy, and consistency
• Collaborating with ML engineers to understand feature access patterns, model requirements, and latency and throughput needs

Skills

• 6+ years of professional experience in data engineering, building and operating production data systems at scale
• Proven experience designing, building, and maintaining scalable batch and real-time data pipelines capable of processing terabytes of data daily
• Hands-on experience with modern data processing frameworks such as Apache Spark, Kafka, Flink, Open Table Formats, and modern OLAP databases
• Strong foundation in data architecture principles, including data modeling, schema design, and tradeoffs between latency, reliability, and cost
• Proficiency in at least one modern programming language such as Go, Python, Java, or Rust, along with strong SQL skills
• Experience with Infrastructure as Code tools such as Terraform or CloudFormation in a production environment
• Familiarity with CI/CD processes and modern software development lifecycle practices, with an emphasis on shipping incrementally and improving systems over time
• Experience implementing data quality controls, including validation, monitoring, and anomaly detection
• Ability to take ownership of projects with guidance, driving designs from initial architecture through implementation and adoption
• Comfort presenting technical designs, participating in peer reviews, and constructively challenging decisions
• Strong collaboration skills with experience working closely with software engineers, machine learning engineers, data analysts, and product partners
• Undergraduate or graduate degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience

Benefits

• 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)

Company Overview

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