GoodRx

HQ
Santa Monica, CA, US
Total Offices: 3
800 Total Employees
Year Founded: 2011

Offices at GoodRx

GoodRx is headquartered in Santa Monica, CA and has 3 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified

U.S. Office Locations

HQ
Santa Monica, CA, US

Our award-winning office space at the Pen Factory in Santa Monica was completed in 2020. We’re right across the street from Bergamot Station, making it an easy ride by metro from across town.

New York, NY, US

40 W 25th St , New York, NY, United States, 10010

San Francisco, CA, US

577 2nd St. , Suite 200, San Francisco, CA, United States, 94107

Search the 31 jobs at GoodRx

Recently posted jobs

5 Hours Ago
New York, NY, USA
Remote
Hybrid
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
GoodRx is seeking a Sr. Data Engineer to collaborate with various teams in building data pipelines, data warehouses, and data mart solutions. The role involves working with big data technologies, cloud services like AWS, and ensuring data integrity and quality for informed business decisions.
5 Hours Ago
Seattle, WA, USA
Remote
Hybrid
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
GoodRx is looking for a Sr. Data Engineer to collaborate with teams and build data pipelines to guide business decisions. Responsibilities include defining requirements, designing data solutions, leading projects, and developing data processing pipelines using cloud technology. The role requires 8+ years of experience in big data engineering, expertise in technologies like pySpark, SQL, and AWS services, and the ability to analyze large datasets for insights and solutions.
5 Hours Ago
San Francisco, CA, USA
Remote
Hybrid
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
GoodRx is seeking a Senior Data Engineer to collaborate on building data pipelines, data warehouses, and data mart solutions. The role involves working with a variety of languages and cloud technologies to guide business decisions through data analysis. Responsibilities include leading projects, developing data processing pipelines, and architecting cloud-based solutions to meet stakeholder needs.