Solutions Engineer
FetchUnited States
Posted March 12, 2026
149523 - 175909 USD
Full Time
About the Company
Fetch is a leading mobile rewards platform that turns everyday purchases into earned rewards, enabling consumers to live rewarded while helping brands build lifelong loyalty through Fetch Points. Leveraging AI and machine learning, the company aggregates over $179 billion in transaction data annually from more than 5 billion submitted receipts, providing deep shopper insights for CPG, grocery, restaurant, and retail partners. Its data‑driven approach powers targeted digital marketing, advertising, and consumer engagement strategies that drive measurable ROI. With a user base of millions and more than 6 million five‑star reviews, Fetch combines a consumer‑centric rewards experience with industry‑leading analytics to deliver unique value to both shoppers and brands.
Job Description
As a Solution Engineer, you will meet with data partners, assess requirements, and recommend or build pipeline improvements to manage data export and delivery in an efficient, scalable process. You will be working on a 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.
Requirements
- 3+ years of professional experience in a technical role requiring advance knowledge of data pipelines, data integration, and data quality initiatives
- Experience in requirements analysis and functional specification authorship
- Experience in understanding business and data problems areas and devising actionable solutions
- Project management experience using Jira or similar task management platforms
- Experience writing optimized SQL for processing efficiency
- Experience with data modeling and orchestration tools
- Strong experience with SQL-based analytical data warehouses (e.g., Snowflake), and familiarity with object storage and non-relational data stores used in production systems (e.g., S3, DynamoDB)
- Experience owning and operating an ETL and ELT processes, data warehouses, and business intelligence tools
- Experience clearly communicating about data with internal and external stakeholders and senior leadership from both technical and nontechnical backgrounds
- Ability to thrive in a highly autonomous, matrixed organization and manage multiple, concurrent work streams
- Proficiency in at least one imperative programming language (i.e., Python)
- Experience deploying and managing cloud resources on AWS, Azure, or GCP
- Experience implementing data quality, data governance, or disaster recovery initiatives
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
