Description:

Found is transforming personalized weight care with an evidence-based platform that combines modern medicine, behavior change support, personalized coaching, and a supportive community.
The company has served over 250,000 patients across the U.S. since launching in 2019, making high-quality, affordable treatment more accessible while reducing healthcare costs.
Found is backed by over $130M from top investors and is redefining how personalized weight care is delivered at scale.
The Senior Data Engineer will report to the Director of Engineering and will be responsible for designing, developing, and maintaining data infrastructure and pipelines.
Key responsibilities include developing data pipelines, data modeling, data warehouse management, ETL development, data quality assurance, performance optimization, collaboration with stakeholders, and documentation of data architecture.

Requirements:

A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is required.
Candidates must have 5+ years of experience in data engineering or related areas, with a focus on end-to-end data engineering beyond just creating ETL pipelines.
Technical proficiency is required, including expertise in SQL and data manipulation languages, proficiency in data pipeline tools (Airflow, AWS Glue, Spark/PySpark, Pandas), and strong programming skills in Python.
Experience with data storage technologies such as Snowflake, Redshift, Databricks, and Glue Catalog/S3 is necessary.
Soft skills required include exceptional problem-solving abilities, excellent communication and collaboration skills, the ability to thrive in a fast-paced environment, and an ownership mindset.