Data Engineer
Job Description
Imprint, a innovative fintech company backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, is revolutionizing the co-branded credit card industry. With over $300 billion in U.S. annual spend in co-branded cards, Imprint offers a modern alternative to legacy banks, providing flexible, tech-forward solutions built for today's consumer.
The Data Engineering role at Imprint is crucial for building and scaling the data infrastructure that powers the entire company's operations. As a Data Engineer, you'll be working with cutting-edge technologies like Snowflake, dbt Cloud, and various ETL/ELT tools to create reliable, scalable data solutions. Your work will directly impact decision-making across the organization, from financial operations to real-time personalization.
The position offers an exciting opportunity to work with a modern data stack and solve complex challenges in the fintech space. You'll be part of a team that values clean, maintainable data systems and emphasizes collaboration across departments. The role combines technical expertise in data engineering with the opportunity to shape the future of payments and rewards.
With competitive compensation ($170K-$220K plus equity), comprehensive benefits, and a flexible work environment, Imprint offers an attractive package for experienced data engineers. The company's commitment to diversity, inclusion, and professional growth makes it an ideal place for talented individuals who want to make a significant impact in the fintech industry.
Responsibilities For Data Engineer
- 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
- Assist with external data integrations
- Participate in design discussions for scaling data infrastructure
- Create clear documentation and ensure reproducibility for datasets and workflows
Requirements For Data Engineer
- 3+ years of experience in data engineering, analytics engineering, or related roles
- Solid experience with Snowflake and dbt
- Hands-on experience with ETL/ELT pipelines and orchestration frameworks
- Working knowledge of data integration tools like Fivetran
- Strong SQL skills and proficiency in Python or similar programming language
- Experience building and maintaining production data systems
- Detail-oriented mindset
- Strong communication skills
Benefits For Data Engineer
- Competitive compensation and equity packages
- Leading configured work computers of your choice
- Flexible paid time off
- Fully covered, high-quality healthcare, including dependent coverage
- Access to One Medical and FSA option
- 16 weeks paid parental leave for primary caregiver, 8 weeks for all new parents
- Access to industry-leading technology
