Solutions Engineer

Overview

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 Soft Bank, 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

As a Solution Engineer, you will meet with data partners, assess requirements, and recommend pipeline improvements to manage data export and delivery in an efficient, scalable process. Our data systems consolidate multiple data sources in order to enable both internal and external stakeholders to answer questions on an ongoing basis.

You may be working on a small, cross-functional team that includes other engineers, a product manager, data scientists, and others. Success in this role requires the ability to take on ambiguous, complex problems and promote innovative solutions to address immediate needs and support future growth.

In this role, you will assess requirements and help design the next generation of tools to allow some of the largest brands in the world to better understand their customers and reimagine the shopping experience. Join us in transforming the way that brands reach their customers and empowering consumers to Live Rewarded through the power of Fetch Points!

• Customer requirements and advocacy
  • Meet with Fetch B2B partners to share product knowledge and development roadmaps
  • Identify partners’ needs and transform them into practical business requirements
  • Offer guidance to partners in understanding and deriving value from shared data through requirements gathering, technical guidance, and individual consultation
  • Track and report status on partners’ feature requests, data issues, and incident reports
• Cross-functional collaboration
  • Collaborate with cross-functional teams to improve data product quality and performance
  • Provide actionable feedback on current data product performance and proposed changes
  • Manage planning and prioritization for operational support and product development
• Data model and pipeline expertise
  • Maintain expertise in Fetch data pipelines and modern data management techniques to contribute to complex data pipeline projects with broad visibility
  • Model and analyze data utilizing SQL best practices for OLAP / OLTP query and database performance
  • Leverage Data Build Tool (DBT), Snowflake, Airflow, AWS infrastructure, CI/CD, testing, and engineering best practices to accomplish your work
• Data product oversight and innovation
  • Design and coordinate innovative approaches to managing datasets involving millions of daily active users and terabytes of data
  • Translate business requirements for data exports and near-real-time actionable insights into data models and artifacts
  • Communicate findings clearly verbally and in writing to a broad range of stakeholders
  • Lead the…