Staff Data Engineer
imprint · San Francisco ·
- Seniority
- Staff
- Category
- Data engineering
- Experience
- 10+ years
- Company size
- 1000+
imprint · San Francisco ·
Imprint helps the world's best brands grow the lifetime value of their customers. We started with co-branded credit cards and rebuilt them to be smarter, more rewarding, and brand-first. We partner with companies like Crate & Barrel, Rakuten, , H-E-B, Fetch, and Shell to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. But the card is just the beginning. We combine advanced payments infrastructure, intelligent underwriting, and deep customer data to create delightful and personalized experiences for members as well as efficient and profitable relationships for our brand partners. Our robust technology and world-class operations allow us and our brand partners to offer powerful financial products without becoming a bank.
In the U.S., co-branded cards alone account for over $300 billion in annual spend, and most still run on decades-old legacy bank systems. Imprint is the modern alternative: flexible, embeddable, and built for how people actually pay today. Backed by Kleiner Perkins, Thrive Capital, Ribbit, and Khosla Ventures, we're building a world-class team to redefine how people pay and how brands grow. If you want to move fast, solve hard problems, and own real outcomes, we want to meet you.
Architect and scale Imprint's core data platform, including Snowflake, dbt Cloud, and real-time CDC pipelines, building infrastructure designed for the next decade of growth
Design secure, compliant partner data delivery systems via Snowflake shares, S3/SFTP integrations, and Marketplace listings that support Imprint's expanding partner ecosystem
Build mission-critical financial reporting pipelines with exceptional accuracy, reliability, and auditability
Establish company-wide data standards for modeling, lineage, contracts, and orchestration, championing data reliability, observability, and trust across all systems
Lead the adoption of AI-assisted development workflows and evaluate how AI tooling (Claude, Copilot, Cursor) can accelerate pipeline development, testing, documentation, and data quality monitoring across the team
Elevate engineering practices across Analytics, Data, and Engineering teams through architecture reviews, reusable frameworks, mentorship, and hands-on technical guidance
Make strategic technology decisions that balance innovation with pragmatism, influencing technical and business leadership across multiple departments
Required
10+ years of experience in data engineering or related fields, with proven ownership of platform-level architecture and strategy
Deep expertise in Snowflake, dbt Cloud, Change Data Capture frameworks, orchestration tools (Airflow, dbt Cloud), and reverse ETL
Strong background in external data sharing and partner integrations, including Snowflake data shares, S3/SFTP pipelines, and Marketplace listings
Proven ability to design and implement data governance and observability systems: data contracts, lineage tracking, anomaly detection, and automated monitoring
Strong engineering skills in SQL and Python, with emphasis on testing, CI/CD, and maintainability in complex data systems
Active experience with AI-assisted development tools integrated into engineering workflows, with an eye toward scaling those practices across a team
Reputation as a mentor and technical authority who elevates the quality and rigor of the people and teams around them
Exceptional ability to communicate and influence across technical and business leadership, translating platform decisions into business impact
Nice to Have
Experience in fintech, payments, lending, or regulated financial environments where data accuracy and compliance are non-negotiable
Experience building or scaling data infrastructure at a high-growth startup from early stage through rapid expansion
Familiarity with agentic AI patterns and how they apply to data workflows: automated pipeline generation, prompt-driven data exploration, or AI-powered monitoring and anomaly resolution
Background in building data platforms that serve ML and risk modeling workloads alongside analytics and reporting
We don't expect every candidate to check every box. If this role excites you and you bring strong fundamentals, we encourage you to apply.
Snowflake, dbt Cloud, Airflow, Python, SQL. CDC pipelines, reverse ETL, S3/SFTP integrations. AWS infrastructure.
Learn more about how we build at Imprint on our engineering blog:
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 the option to enroll in an FSA
20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
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.