Imprint.com
Overview
Join to apply for the
Data Engineer
role at
Imprint . This range is provided by Imprint. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range $170,000.00/yr - $220,000.00/yr 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 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 productswithout becoming a bank. Co-branded cards account for over $300 billion in U.S. annual spendbut most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for todays consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, were building a world-class team to redefine how people payand how brands grow. If you want to work fast, solve hard problems, and make a real impact, wed love to meet you. 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. Were 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 businessfrom financial operations to real-time personalization. What Youll 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 16 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
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, lets move the world forward, together. Compensation Range:
$170K - $220K Seniority level Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Seattle, WA #J-18808-Ljbffr
Join to apply for the
Data Engineer
role at
Imprint . This range is provided by Imprint. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range $170,000.00/yr - $220,000.00/yr 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 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 productswithout becoming a bank. Co-branded cards account for over $300 billion in U.S. annual spendbut most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for todays consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, were building a world-class team to redefine how people payand how brands grow. If you want to work fast, solve hard problems, and make a real impact, wed love to meet you. 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. Were 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 businessfrom financial operations to real-time personalization. What Youll 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 16 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
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, lets move the world forward, together. Compensation Range:
$170K - $220K Seniority level Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Seattle, WA #J-18808-Ljbffr