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Senior Data Engineer

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Overview

Schedule
Full-time
Career level
Senior-level
Benefits
Health Insurance
Parental and Family Leave
Flexible/Unlimited PTO

Job Description

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 Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers 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 products-without becoming a bank.

Co-branded cards account for over $300 billion in U.S. annual spend-but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today's consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we're building a world-class team to redefine how people pay-and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we'd love to meet you.

Learn more about us on Imprint's Technology blog.

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.

We're 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 business-from financial operations to real-time personalization.

What You'll Do

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

  • Own core components of Imprint's 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

  • 20 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.

Automate your job search with Sonara.

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FAQs About Senior Data Engineer Jobs at Imprint

What is the work location for this position at Imprint?
This job at Imprint is located in New York, NY, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Imprint?
Employer has not shared pay details for this role.
What employment applies to this position at Imprint?
Imprint lists this role as a Full-time position.
What experience level is required for this role at Imprint?
Imprint is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Imprint?
You can apply for this role at Imprint either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.