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Data Engineer

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Overview

Schedule
Full-time
Career level
Senior-level
Benefits
Health Insurance
Parental and Family Leave
Flexible/Unlimited PTO

Job Description

Who We Are

Imprint is reimagining co-branded credit cards & financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products—without becoming a bank.

Co-branded cards account for over $300 billion in U.S. annual spend—but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today’s consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we’re building a world-class team to redefine how people pay—and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we’d love to meet you.

Learn more about us on Imprint's Technology blog.

The Team

The Data Engineering team at Imprint is responsible for building and scaling the data infrastructure that supports product development, analytics, operations, and machine learning across the company. We own the pipelines, platforms, and processes that empower our stakeholders to trust and act on our data.

We’re looking for a Data Engineer to help evolve our modern data stack and deliver reliable, scalable data solutions. Your work will directly power decision-making and innovation across the business—from financial operations to real-time personalization.

What You’ll Do

  • Build and maintain scalable data pipelines and infrastructure across batch and streaming systems.

  • Support and improve core components of Imprint's data stack, including Snowflake, dbt Cloud, Change Data Capture frameworks, and reverse ETL integrations.

  • Implement data modeling best practices and contribute to testing, observability, and governance initiatives.

  • Collaborate with stakeholders across Product, Analytics, Finance, and Engineering to ensure timely and accurate data delivery.

  • Assist with external data integrations, such as partner-facing data shares (e.g., S3, SFTP, Snowflake) and financial reporting pipelines (e.g., with Netsuite).

  • Participate in design discussions for scaling data infrastructure, including schema design, orchestration, and data lineage.

  • Create clear documentation and ensure reproducibility for datasets and workflows you develop.

  • Learn about modern data tools and trends and suggest improvements to existing processes.

What We Look For

  • 3+ years of experience in data engineering, analytics engineering, or related roles.

  • Solid experience with Snowflake and dbt, with an understanding of dimensional modeling and data warehouse concepts.

  • Hands-on experience with ETL/ELT pipelines and familiarity with orchestration frameworks (e.g., dbt Cloud, Airflow).

  • Working knowledge of data integration tools like Fivetran or similar Change Data Capture solutions.

  • Strong SQL skills and proficiency in Python or a similar programming language.

  • Experience building and maintaining production data systems with guidance from senior team members.

  • A detail-oriented mindset and enthusiasm for building clean, maintainable data systems.

  • Strong communication skills and ability to work effectively with cross-functional partners.

Nice to Have

  • Experience in fintech, high-growth startups, or customer-facing data products.

  • Familiarity with event streaming technologies like Kafka or Kinesis.

  • Exposure to data governance, security, or compliance practices.

  • Interest in ML pipelines or experimentation frameworks.

Perks & Benefits

  • 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.

Automate your job search with Sonara.

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FAQs About Data Engineer Jobs at Imprint

What is the work location for this position at Imprint?
This job at Imprint is located in San Francisco, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Imprint?
Employer has not shared pay details for this role.
What employment applies to this position at Imprint?
Imprint lists this role as a Full-time position.
What experience level is required for this role at Imprint?
Imprint is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Imprint for this role?
Imprint offers following benefits: Health Insurance, Parental and Family Leave, and Flexible/Unlimited PTO for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Imprint?
You can apply for this role at Imprint either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.