Senior Software Engineer, Data

Summary

Join Found's Data team as a Data Engineer and play a critical role in building and scaling our ML and data platforms. We are a full-stack data organization responsible for everything from deploying ML models to detect fraud to informing product direction. You will design, build, and operate large-scale data infrastructure systems, build a data platform-as-a-service, bridge the gap between engineering and analytics, implement ETL infrastructures, and contribute to best practices. You will also mentor and guide the broader data team. The ideal candidate has 8+ years of experience in data infrastructure, experience with relational databases, dbt, and Airflow, and experience with cloud-native big data infrastructure. Found offers a competitive salary, benefits, and a flexible work environment.

Requirements

• 8+ 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

Responsibilities

• 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

Preferred Qualifications

• Previous experience working in the fintech space
• Previous startup experience
• Experience with bookkeeping or taxes and how it relates to self-employment

Benefits

• 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, 90% covered for dependents
• Work anywhere: We have Found offices in SF 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