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Senior Data Engineer (New York)

Senior Data Engineer (New York)

Imprint ContentNew York, NY, United States
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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 H-E-B, Turkish Airlines, Brooks Brothers, and Eddie Bauer 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 Senior 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

Design, build, and maintain scalable data pipelines and infrastructure across batch and streaming systems.

Own core components of Imprints data stack, including Snowflake, dbt Cloud, Change Data Capture frameworks, and reverse ETL integrations.

Develop and enforce best practices in data modeling, testing, observability, and governance.

Partner with stakeholders across Product, Analytics, Finance, and Engineering to ensure timely and accurate data delivery.

Work on external data integrations, such as partner-facing data shares (e.g., S3, SFTP, Snowflake) and financial reporting pipelines (e.g., with Netsuite).

Contribute to architectural decisions for how we scale data infrastructure, including schema design, orchestration, and data lineage.

Champion clear documentation, reproducibility, and reliability for critical datasets and workflows.

Stay informed about modern data tools and trends and help drive their adoption when appropriate.

What We Look For

6+ years of experience in data engineering, analytics engineering, or related roles.

Expertise in Snowflake and dbt Cloud, with a strong understanding of dimensional modeling and data warehouse best practices.

Experience working with Change Data Capture (e.g., Fivetran, Hevo), ETL / ELT pipelines, and orchestration frameworks (e.g., dbt Cloud, Airflow).

Familiarity with reverse ETL tools like Hightouch or Segment, and operational analytics use cases.

Strong SQL skills and proficiency in Python or a similar programming language.

A track record of technical ownership and shipping production-grade data systems.

A detail-oriented mindset and a passion for building clean, maintainable, and observable data systems.

Strong communication skills and the ability to collaborate 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.

Previous work on 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

An understanding that successful hybrid work requires flexibility and an appreciation for asynchronous work

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, lets move the world forward, together.

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Senior Data Engineer • New York, NY, United States

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