Imprint is reimagining co-branded credit cards & financial products to be smarter, more rewarding, and truly brand-first. Imprint is the modern alternative to legacy banks powering co-branded cards, offering a flexible, tech-forward platform for brands to offer powerful financial products without becoming a bank.
Requirements
- 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.
- Familiarity with event streaming technologies like Kafka or Kinesis.
- Exposure to data governance, security, or compliance practices.
Responsibilities
- 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.
- 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.
Other
- 3+ years of experience in data engineering, analytics engineering, or related roles.
- A detail-oriented mindset and enthusiasm for building clean, maintainable data systems.
- Strong communication skills and ability to work effectively with cross-functional partners.
- Experience in fintech, high-growth startups, or customer-facing data products.
- Interest in ML pipelines or experimentation frameworks.
