Staff Data Engineer

The self-employed workforce is a rapidly growing, resilient, and colorful 60 million Americans. But self-employment comes with its own set of challenges: navigating taxes, accounting, bookkeeping, and business banking are just a few. That’s where we come in.

Found is building tools that give self-employed people the security and peace of mind that has historically only been possible at big corporations. We’re a business bank account that automates taxes and expense tracking because we believe small business owners should spend more time doing what they love and less time on their business finances.

We’re looking for kind, resourceful, and passionate people to join us in building the safety net for self-employment.

About this role: 

Thanks for your interest in Found!  Our Data team is a full stack data organization of highly skilled data scientists, data engineers, and analysts. We’re responsible for everything from researching, training, and deploying ML models to detect and stop fraud in real time, to using data to inform the direction that our product teams should take and what to build next.

We’re a small but experienced team that has worked on diverse and complex problems at companies like Uber, Netflix, and Spotify. We’re excited to bring on a Data Engineer to help scale our data infrastructure, optimize our data pipelines, and support decision-making across the organization. You’ll play a critical role in building out and scaling our ML and data platforms and will empower data scientists, analysts, and other stakeholders to better leverage our data to drive our business forward.

Some recent team accomplishments include: 

• Deploying a new feature store that improved time to train and deploy machine learning models by ~50%. 

• Optimizing our batch and streaming jobs to improve reporting latencies from a matter of days to a matter of hours. 

• Training and deploying several models that monitor financial transactions in real time to make decisions on whether or not they should be allowed through or not.  

• Researching, training, and deploying an XGBoost model that predicts a user’s LTV to better shape our ad targeting and user acquisition strategy. 

Day to day, you will:

• Design, build, and operate large scale data infrastructure systems across multiple environments to store, aggregate, and progress large amounts of data. 

• Build a data platform-as-a-service for internal customers, ensuring data integrity, sanity, tagging, and discoverability.

• Bridge the gap between engineering and analytics, helping inform the roadmap for data infrastructure for the company. 

• Implement various ETL infrastructures for the company’s topline metrics, reporting, and product functionality.

• Contribute to the development of best practices, standards, and frameworks for data engineering at Found.

• Provide mentorship and guidance to help grow and develop the skills of the broader data team, fostering a culture of continuous learning and excellence.

To thrive in this role, you have:

• 10+ years experience in data infrastructure, data engineering, or analytics engineering roles.

• Experience with relational databases (Postgres/MySQL), dbt, and Airflow

• Advocated for and rolled out new technologies or open-source frameworks that empower data and product organizations to make data driven decisions. 

• Experience working with cloud-native big data infrastructure on the public cloud (GCP/AWS/Azure, BigQuery/Redshift/Synapse).

• Ability to write clean and maintainable code (primarily Python).

• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

You may also have:

• Previous experience working in the fintech space. 

• Previous startup experience.

• Experience with bookkeeping or taxes and how it relates to self-employment. 

Compensation at Found 

The anticipated salary range for this role is $205,000 - $268,000. The salary range listed represents the low and high end of the anticipated salary range for this position across all US locations. Within the range, individual pay is determined by several factors including job-related skills, experience, and relevant education or training. Our competitive base salary is just a piece of Found’s total compensation package. Found offers a generous benefits package to all employees see our list below or check out found.com/careers to learn more!

#LI-DNI

Found is built by a team that comes from a variety of backgrounds and experiences, and we firmly believe that diversity, equity, and inclusion are crucial to our success. As we grow, we’re searching for passionate and motivated team members who are excited to bring their skill set to the team and are ready to learn from others.

If you are looking for a role where you will have the opportunity to make a meaningful contribution and great impact, we would love to hear from you!

• 401K, FSA, and Commuter Benefits: We offer all employees access to tax-efficient benefit options alongside competitive base compensation.

• Paid parental leave: Found supports employees through all stages of life, which is why new parents employed by Found qualify for 16 weeks of flexible parental leave.

• Health benefits: Comprehensive medical, dental, and vision benefits and are always 100% covered for employees, 75% covered for dependents.

• Work anywhere: We have Found offices in SF, Seattle, and NYC. For team members who work outside those cities, Found also supports fully remote working.

• Meaningful equity: Everyone on our team should feel and act like an owner, which is why Found offers industry-competitive equity to all of our employees.

• Flexible vacation policy: Vacations, appointments, mental health days- take the time you need, whenever you need to with our flexible time-off policy

To learn more about our benefits or the team please go to found.com/careers.