Lead Data Engineer

Remote Seattle, WA
USD 135k - 288k
Kafka Terraform Docker Python SQL AWS Kubernetes Spark Hadoop GCP Android
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GoodRx is America’s healthcare marketplace. Each month, millions of people visit to find reliable health information and discounts for their healthcare — and we’ve helped people save $60 billion since 2011. We provide prescription discounts that are accepted at more than 70,000 pharmacies in the U.S., as well as telehealth services including doctor visits and lab tests. Our services have been positively reviewed by Good Morning America, The New York Times, NBC News, AARP, and many others.

Our goal is to help Americans find convenient and affordable healthcare. We offer solutions for consumers, employers, health plans, and anyone else who shares our desire to provide affordable prescriptions to all Americans.

About the Role

GoodRx is looking for extremely passionate and curious data engineers, who are deft at working with a wide variety of languages, such as Python and SQL, a variety of raw data formats, such as parquet JSON & Kafka topics, in a fast-paced and friendly environment. You will collaborate and work with teams across GoodRx to build outstanding data pipelines and processes that stitch together complex sets of data stores in order to guide marketing decisions. Also as the Principal Data Engineer, you will lead design and development of enhanced data pipeline services. Your will enable a smooth customer and developer experience, exposing data components for direct to customer use or as components for new product development. You will have the opportunity to collaborate with the data science and analytics team to develop high performance analytics, data model and ML solutions.


  • Collaborate with product managers, data scientists, data analysts and engineers to define features needed for a Data Platform

  • Provide mentorship and technical leadership for a team

  • Work closely with other engineers to scale infrastructure, improve reliability and efficiency

  • Improve developer tooling with a focus on reliability and efficiency

  • Write good technical documentation

  • Perform large system upgrades and migrations

  • Maintenance and improvement of multiple CI/CD pipelines

  • Act as an in-house data expert who makes recommendations regarding standards for code quality and pipeline architecture

  • Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR

  • Make smart engineering and infra decisions based on data auditing and collaboration

  • Lead and architect cloud-based data infrastructure solutions to meet stakeholder needs

Skills & Qualifications:

  • 10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc

  • 10+ years experience in engineering data pipelines using data technologies (Python, pySpark, Airflow) on large scale data sets

  • Experience with one of the cloud environments - AWS, GCP

  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

  • Experience building or maintaining a Data Platform and data pipelines that supports multiple engineering teams and processes big data

  • Ability to quickly learn complex domains and new technologies

  • Innately curious and organized with the drive to analyze data to identify deliverables, anomalies and gaps and propose solutions to address these findings

  • Experience designing data models that have been implemented in production

  • Strong experience in writing complex SQL and ETL development with experience processing large data sets

  • Familiarity with AWS Services (Redshift, RDS, EKS, S3, EMR, Glue, Lambda)

  • Experience using GitHub, Docker, Terraform, CodeFresh, Jira

  • Experience contributing to full lifecycle deployments with a focus on quality and scalability

Good To Have:

  • Experience with sessions data such as Google Analytics & Segment

  • Experience contributing to full lifecycle deployments with a focus on testing and quality

  • Experience related to data privacy like CCPA & GDPR (Data deletion, data de-identification, Right to forget and such)

  • Experience with data quality processes, data quality checks, validations, data quality metrics definition and measurement

  • AWS/Databricks/GCP or similar certifications

At GoodRx, pay ranges are determined based on work locations and may vary based on where the successful candidate is hired. The pay ranges below are shown as a guideline, and the successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, and other relevant business and organizational factors. These pay zones may be modified in the future. Please contact your recruiter for additional information.

San Francisco and Seattle Offices:

$180,000.00 - $288,000.00

New York Office:

$165,000.00 - $264,000.00

Santa Monica Office:

$150,000.00 - $240,000.00

Other Office Locations:

$135,000.00 - $216,000.00

GoodRx also offers additional compensation programs such as annual cash bonuses and annual equity grants for most positions as well as generous benefits. Our great benefits offerings include medical, dental, and vision insurance, 401(k) with a company match, an ESPP, unlimited vacation, 13 paid holidays, and 72 hours of sick leave. GoodRx also offers additional benefits like mental wellness and financial wellness programs, fertility benefits, generous parental leave, pet insurance, supplemental life insurance for you and your dependents, company-paid short-term and long-term disability, and more!

We’re committed to growing and empowering a more inclusive community within our company and industry. That’s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and the tools, resources, and opportunities to excel.

With that said, research shows that women and other underrepresented groups apply only if they meet 100% of the criteria. GoodRx is committed to leveling the playing field, and we encourage women, people of color, those in the LGBTQ+ communities, and Veterans to apply for positions even if they don’t necessarily check every box outlined in the job description. Please still get in touch - we’d love to connect and see if you could be good for the role!

GoodRx is America's healthcare marketplace. The company offers the most comprehensive and accurate resource for affordable prescription medications in the U.S., gathering pricing information from thousands of pharmacies coast to coast, as well as a telehealth marketplace for online doctor visits and lab tests. Since 2011, Americans with and without health insurance have saved $60 billion using GoodRx and million consumers visit each month to find discounts and information related to their healthcare. GoodRx is the #1 most downloaded medical app on the iOS and Android app stores. For more information, visit

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