Principal Software Engineer, Data Products

Job not on LinkedIn

🔥 17 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 15%

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Fetch

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

👥 B2C

📣 Marketing

🔥 Funding within the last year

💰 Later Stage VC on 2026-05

B2C • Marketing

Fetch is a consumer mobile rewards app that lets users scan receipts to earn points that can be redeemed for gift cards and other rewards. The app awards points for everyday purchases (groceries, fuel, meals, games, etc. ), offers in-app games and promotions, and provides a business-facing offering (Fetch for Business) and browser extension. Fetch reports millions of monthly earners, millions of app reviews, and over $1B in rewards redeemed. The service emphasizes easy receipt scanning, point accumulation, and low-effort rewards for shoppers.

📋 Description

• Define architecture and implementation approach for a significant area of Fetch’s off-platform data business. • Lead work from problem definition and proof of concept through production delivery and ongoing improvement. • Design, implement, and maintain services, APIs, and processing workflows behind data products. • Work with Core Data Platform on shared ingestion, storage, orchestration, and trusted data assets. • Establish clear interfaces and ownership so product teams can extend capabilities without duplicating foundational infrastructure. • Partner with Product, Sales, and external partners to clarify requirements, test assumptions, and translate feedback into engineering decisions. • Balance delivery speed, scalability, reliability, and maintainability through architectural tradeoffs. • Partner with data scientists to productionize audience models and measurement methods. • Build repeatable data preparation, scoring, evaluation, and delivery workflows with versioning, monitoring, and recovery mechanisms. • Define production acceptance criteria balancing scientific validity, partner requirements, runtime, and cost. • Build validation, monitoring, and operational safeguards for accurate, dependable outputs and partner service levels. • Align engineers and cross-functional partners on design decisions, resolve dependencies, and guide implementation across teams. • Mentor engineers, provide design and code reviews, and establish effective engineering patterns.

🎯 Requirements

• 15+ years of software engineering experience, including setting technical strategy, leading architectural decisions across organizations, and driving initiatives with company-level impact. • Demonstrated ownership of a data-intensive product from an ambiguous problem or prototype through production launch and sustained customer or partner use. • Track record of building and operating production software, with direct ownership of consequential architectural decisions and delivery outcomes. • Experience building advertising platforms, audience products, measurement or attribution systems, demand-side platforms, or closely related data products. • Strong software engineering fundamentals, including system design, backend development, testing, and production operations. • Experience designing systems that process substantial volumes of data, with an understanding of data quality, performance, reliability, and operational tradeoffs. • Demonstrated technical leadership of complex initiatives involving multiple engineers or teams, including setting direction, guiding implementation, and resolving technical disagreements. • Ability to move work forward when requirements are incomplete, form informed technical opinions, and adjust your approach as new evidence emerges. • Strong product judgment and ability to connect technical decisions to partner needs, product adoption, and business outcomes. • Clear communication with technical and nontechnical stakeholders, including ability to explain trade-offs and challenge requirements constructively. • Preferred: experience bringing machine learning models into production in partnership with Data Science. • Preferred: familiarity with audience expansion, lookalike modeling, or predictive systems used in advertising. • Preferred: knowledge of statistics, anomaly detection, or techniques for identifying and addressing data quality issues. • Preferred: experience integrating data products with advertising platforms or external partners.

🏖️ Benefits

• Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth. • 401(k): Fetch will match your contributions dollar for dollar, up to 4% of your eligible pay. • 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: 14 weeks of fully paid parental leave for all employees, plus 6 additional weeks of paid childbirth recovery leave for birthing parents, 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 for US-based roles. • Hardware and software provided to equip employees for working from home.

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