Imprint is building a next-generation co-branded credit card company to serve America’s great brands. Some of our partners include H-E-B, Turkish Airlines, Brooks Brothers, and Eddie Bauer. Imprint is backed by Kleiner Perkins, Thrive Capital, and Affirm. We are focused on building a brilliant team who want to change payments and who embody Imprint’s Operating Principles.
The Data Platform Engineering Team is dedicated to ensuring that our organization’s data assets are secure, reliable, and highly accessible for analytics, reporting, and operational needs. By managing our data infrastructure and processes with a focus on quality and governance, we empower data-driven decision-making across all teams at Imprint.
This role will be a hybrid work format, with time split between working remotely and working onsite from either our San Francisco or New York offices, 2-3 days a week as required by your manager.
Data Pipeline Development: Build, maintain, and optimize ETL/ELT pipelines for data ingestion, processing, and storage.
Data Infrastructure and Platform: Design and implement a scalable data platform to support rapidly evolving analytics and reporting needs.
Collaboration: Work closely with Data Scientists, Analysts, and Engineers to deliver reliable data solutions that drive business insights.
Performance Optimization: Monitor and enhance data processing performance to ensure efficiency and reliability.
Data Quality: Develop tools and workflows to validate and maintain data integrity across systems.
Guide technical decision-making and help choose technical solutions that will scale both with the company and with our user base.
Work with our leadership team to craft a diverse engineering culture that is both inclusive and innovative.
Work closely with product and design teams to craft delightful experiences for our customers.
2+ years of software development experience
2+ years of programming experience with at least one modern language like Python, Java, Scala or Go (preferably Python)
1+ years of experience in developing data pipelines using Airflow (or similar orchestration tools)
1+ years of experience contributing to the architecture and design of new and current systems (focusing on reliability, scalability and availability)
Strong knowledge of data structures, algorithms and system design
Strong sense of ownership, urgency, and drive
Experience with stream processing (preferably Apache Spark or Apache Flink)
Experience in building high-scale distributed systems that handle large volumes of structured and semi-structured data
Track record of building and delivering mission-critical, 24x7 production software systems
Excellent troubleshooting and debugging skills
Open-source project experience
Competitive compensation and equity packages
Leading configured work computers of your choice
Flexible paid time off
Fully covered, high-quality healthcare including fully covered dependent coverage
Additional health coverage includes access to One Medical and option to enroll in an FSA
16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
An understanding that successful hybrid work requires flexibility and an appreciation for asynchronous work
Access to industry-leading technology across all of our business units — stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity
Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.
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Imprint is a financial services company based in New York. We partner with America's greatest brands to design, launch, and manage co-branded credit card programs that are worthy of modern customers.
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