Data Engineer, Data Platform
Location: Santa Monica
Posted on: June 15, 2022
GoodRx is America's healthcare marketplace. Each month, millions
of people visit goodrx.com to find reliable health information and
discounts for their healthcare - and we've helped people save $35
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.
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
About the Role:
GoodRx is looking for extremely smart 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 and
CSV, 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.
Collaborate with product managers, data scientists, data analysts
and engineers to define requirements and data specifications.
Develop, deploy and maintain data processing pipelines using cloud
technology such as AWS, Kubernetes, Airflow, Redshift, EMR.
Develop, deploy and maintain serverless data pipelines using Event
Bridge, Kinesis, AWS Lambda, S3 and Glue.
Define and manage overall schedule and availability for a variety
of data sets.
Work closely with other engineers to enhance infrastructure,
improve reliability and efficiency.
Make smart engineering and product decisions based on data analysis
Act as in house data expert and make recommendations regarding
standards for code quality and timeliness.
Architect cloud-based data infrastructure solutions to meet
Skills & Qualifications:
Bachelor's degree in analytics, statistics, engineering, math,
economics, science or related discipline.
3+ years professional experience in the big data space.
3+ years' experience in engineering data pipelines using big data
technologies (Spark, etc...) on large scale data sets.
Strong experience in writing complex SQL and ETL development with
experience processing extremely large datasets.
Demonstrated ability to analyze large data sets to identify gaps
and inconsistencies, provide data insights, and advance effective
Familiarity with AWS Services (S3, Event Bridge, Glue, EMR,
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
Thrives in fast-paced startup environment
Good To Have
Experience with customer data platform tools such as Segment,
Experience using Jira, GitHub, Docker, CodeFresh, Terraform.
Experience contributing to full lifecycle deployments with a focus
on testing and quality.
Experience with data quality processes, data quality checks,
validations, data quality metrics definition and measurement.
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
$35 billion using GoodRx and million consumers visit goodrx.com
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
Keywords: GoodRx, Santa Monica , Data Engineer, Data Platform, Engineering , Santa Monica, California
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