Clearco is the world’s largest e-commerce investor. Our equity-free capital products intend to help businesses scale while maintaining 100% ownership and control. Clearco is growing and we’ve already been able to fund 5500+ businesses in 7 countries. Clearco has funded 25x more female founders than traditional Venture Capital and is removing barriers to access capital for underserved groups. The Clearco vision is simple: remove the obstacles between brilliant ideas and brilliant businesses.

The role of the Principal Data Engineer is to lead and execute the technical strategy to build highly trusted data products and foundation level solutions for the analytic and product challenges surrounding and driving the vision of Clearco.   

Application deadline: ongoing

Compensation + Benefits:

Competitive Salary + Stock Options + Flexible PTO + Mental Health Support (Inkblot & EAP) + Medical + Dental/Vision + Work From Home Stipend + Digital Nomad Program + Remote-first work environment + Toronto office available (but not necessary) + External Learning & Professional Development!

Responsibilities: 

• You will own sets of data products through their entire lifecycle and are expected to influence efficiencies in adjacent systems inline with strategic architecture patterns.  This will span from design and architecture to deployment and maintenance, leading others where necessary through development via principles and standards.
• Working closely with every member of the Data Science and MLOps Team, along with collaborating with business teams, vendors and external partners.  You will produce significant components and foundations.
• Collaborate with all functions of Clearco, ranging from core Engineering team to the marketing team, to educate on proper data practices and procedures.
• You will be in constant communication with the team to understand what features of the platform need to be built out both in the short and long run, and helpfully coach the entire team towards an understanding of both low and high level understanding.
• You will scope out business needs, and action them with speed and accuracy and then lead and execute hand-in-hand with the team.

What we look for:

• Uncanny communication skills, with a desire or experience to lead and steer sets of stakeholders without authority through leadership.
• Desire to help founders growth or adapt their business. We take a strong founder first stance on this team; this means we’re leveraging data and self-serve value-add to give them an unfair advantage.
• Drive a self-starting culture for the entire team.  This can mean reducing ambiguity, solving problems, unblocking teammates and influencing others.
• On this team, we maximize learning and mentoring others. You will fail if you're not learning fast enough.
• Comfort working in a high growth, constantly changing environment.
• Heavy bias towards action. Ability to solve problems end-to-end on their own. You will implement ideas and experiments on your own with minimal support.
• Have demonstrated experience working in a high-ranking software engineering role, you are an expert when it comes to software development and you’re ready to roll up your sleeves to get the job done! 
• Have a strong business sense, you can foresee potential issues and solve them quickly
• Demonstrated ability to collaborate effectively across multiple teams.
• Tangible evidence related to building businesses, e-commerce and fintech.  This could mean advising, co-founding or open-source experience that is beyond a track-career norms.

Technical Requirements:

• Ideally, you have worked on 4 or more different stacks in your career in a professional setting for at least 8 months each where one or more was for material amount and user-volume level.  This means you probably have between 5 years and 10 years of experience in increasingly valuable business-systems.  
• Distributed architecture experience heavily reliant on time-series data is a must.
• Contributed to both strategy and development around one or more enabling data systems such as Data Lakes, Data Warehouses, and Machine Learning Model Lifecycle Management technologies.
• Able to architect at multiple horizons with strategic optionality, while managing tradeoffs between stakeholders, changing APIs and evolving technology trends.
• Comfortable steering, and delivering against, a changing roadmap in a fast pace team – building the plane after take-off
• Expert knowledge of  relational databases and schemas involving time-series
• Export acumen in a wide variety of languages and technologies, including but not limited to  Python, SQL, Snowflake, Kubernetes and pipeline management/orchestration tools (Eg. Airflow, Argo).
• Experience scaling a data strategy with managed services and big data technologies
• Expert knowledge of Google Cloud Platform (GCP) or similar (AWS, Azure)

Clearco is an equal opportunity employer. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply. At Clearco, we’re committed to developing and upholding an inclusive, transparent, and comfortable environment for all. We create a space where every voice, perspective, and idea is heard and acknowledged. We embrace differences, and know that our diverse team is our strength and what drives our innovation. 

Clearco is committed to developing a barrier-free recruitment process and work environment. If you require any accommodation, please let us know and we’ll work with you to meet your accessibility needs.