Data Engineering Lead at KEEP
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

29 Jun, 25

Salary

0.0

Posted On

29 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

OUR JOURNEY AT KEEP

At Keep, we embarked on a mission with a powerful question: Why hasn’t the banking experience caught up with the rapid pace of technology?
This continues to fuel our passion for reshaping the Canadian fintech landscape. We provide businesses with a comprehensive suite of cross-border banking services, offering everything from credit cards to deposit accounts, currency conversions, and revenue financing.
With a team of seasoned global startup veterans with successful exits, Keep is committed to leading the charge as Canada’s next-generation fintech institution. Backed by VCs in the fintech sector, we’re racing ahead, expanding our reach and impact like never before.

Responsibilities

ABOUT THE ROLE

We are looking for a Data Lead to build and lead our data team from the ground up. This role is critical in shaping how we leverage data to drive smarter underwriting decisions, optimize business operations, and scale our data infrastructure for long-term success.
As the founding member of our data team, you will have a massive impact on our business, from defining data strategy to implementing best practices for data management, analytics, and engineering. You will drive immediate results and lay the foundation for a high-performing team, ensuring we remain at the forefront of data-driven decision-making.

KEY RESPONSIBILITIES

  • Design, implement, and maintain a robust data infrastructure using modern tools like DBT, Snowflake, and ETL frameworks.
  • Ensure data accuracy, availability, and security across all systems.
  • Define and implement key underwriting performance metrics (e.g., default rates and approval times).
  • Run experiments to optimize underwriting processes and measure their impact.
  • Work closely with Product, Engineering, and Operations to understand workflows and suggest changes to improve data visibility and usability.
  • Communicate complex data insights to stakeholders, facilitating informed decision-making.
  • Address data bottlenecks impacting SWE teams.
  • Lay the groundwork for a scalable data team, mentoring and guiding new hires as the team grows.
  • Foster a culture of collaboration, innovation, and data-driven decision-making.

We seek a self-starter who thrives in a fast-paced environment and is excited to make an immediate and lasting impact. You’ll succeed in this role if you have:

  • Held a Data Lead, Senior Data Engineer, or Senior Data Scientist role.
  • Previous experience in Startups and Fintechs.
  • Hands-on experience with setting up and scaling data infrastructure.
  • Proficiency in Python, SQL, and modern data tools, including DBT, Snowflake, Fivetran, Hightouch, and other ETL/reverse ETL tools
  • Have strong data engineering skills, including data pipeline creation and maintenance
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