Data Engineer
Imprint
Imprint is a company focused on modernizing co-branded credit cards and financial products, partnering with major brands to enhance customer loyalty and savings. The Data Engineering team is seeking a Data Engineer to develop and maintain scalable data infrastructure that supports various business functions, including analytics and machine learning.
Qualification
- 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 data modeling.
Responsibility
- 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, and Change Data Capture frameworks.
- 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 and financial reporting pipelines.
- Participate in design discussions for scaling data infrastructure, including schema design and data lineage.
- Create clear documentation and ensure reproducibility for datasets and workflows developed.
- Learn about modern data tools and trends and suggest improvements to existing processes.
