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Staff Data Engineer

ImprintSan Francisco
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Essential QualificationsProven experience in data engineering with a focus on building scalable data platforms. Strong proficiency in SQL and experience with data warehousing solutions, particularly Snowflake. Expertise in data pipeline construction using modern ETL tools, including dbt. Experience with real-time data integration and CDC methodologies. Solid understanding of data security and compliance frameworks. Exceptional problem-solving skills and the ability to work collaboratively in a fast-paced environment. Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred.

About the job

About Us

At Imprint, we're on a mission to revolutionize co-branded credit cards and financial products, creating smarter, more rewarding experiences that prioritize brand identity. We collaborate with industry leaders like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to design innovative credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our cutting-edge platform seamlessly integrates advanced payment solutions, intelligent underwriting, and user-friendly design, enabling brands to offer powerful financial products without the need to become a bank.

Co-branded credit cards represent over $300 billion in annual expenditure in the U. S., yet many are still rooted in outdated banking systems. Imprint stands as the modern alternative: adaptable, technology-driven, and designed for today’s savvy consumers. Supported by prominent investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team to reshape payment methods and drive brand growth. If you're eager to work in a fast-paced environment, tackle challenging problems, and make a significant impact, we want to hear from you!

Discover more about our innovations on Imprint's Technology blog.

Our Team

The Data Engineering team at Imprint is pivotal in constructing and scaling our data infrastructure, which underpins product development, analytics, operations, and machine learning throughout the organization. We manage the pipelines, platforms, and processes that empower our stakeholders to trust and utilize our data effectively.

Your Role

As a Senior Data Engineer, you will be responsible for designing and implementing our data platform, addressing our most challenging technical issues. You will lay the groundwork for Imprint's upcoming decade of growth by scaling our infrastructure for rapid expansion, providing insights that inform multi-million dollar decisions, facilitating secure partner data sharing, and transforming how our teams leverage data. Join us in building a platform that not only meets today's demands but also anticipates future opportunities.

Key Responsibilities

Infrastructure Development & Scaling

  • Design and optimize our next-generation data platform, leveraging tools such as Snowflake, dbt Cloud, and real-time CDC pipelines for enterprise-level scalability.

  • Create secure and compliant partner data delivery systems utilizing Snowflake shares, S3/SFTP integrations, and Marketplace listings.

  • Develop critical financial reporting pipelines ensuring exceptional accuracy and reliability.

Pursue Technical Excellence

  • Implement best practices in data engineering, ensuring robust data governance and security.

  • Collaborate with cross-functional teams to enhance data accessibility and usability.

About Imprint

Imprint is a pioneering fintech company dedicated to transforming the landscape of co-branded credit cards and financial products. By partnering with top-tier brands, we deliver solutions that enhance customer engagement and drive brand growth. Our innovative platform combines cutting-edge technology and user-centric design, allowing brands to offer financial products that resonate with today's consumers. Join us at Imprint, where your work can redefine the way people interact with finance.

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