Data Engineer

Data Engineer

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 businessfrom 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

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, 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.