Data Engineer II

Posted on 5/15/2023

INACTIVE

1-10 employees

Prescription drug price tracking platform

Company Overview

GoodRx's mission is to build better ways for people to find the right care at the best price. GoodRx's healthcare marketplace platform offers solutions for consumers, employers, health plans, and anyone else who shares our desire to provide affordable prescriptions to all Americans.

Data & Analytics

Financial Services

Company Stage

N/A

Total Funding

$942.5M

Founded

2005

Headquarters

New York, New York

Growth & Insights

Headcount

6 month growth

↓ -25%

1 year growth

↓ -50%

2 year growth

↓ -75%

Locations

San Francisco, CA, USA • New York, NY, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Kubernetes

Microsoft Azure

Redshift

Python

Airflow

Git

SQL

Apache Kafka

Docker

AWS

JIRA

Terraform

Data Analysis

Google Cloud Platform

CategoriesNew

DevOps & Infrastructure

Data & Analytics

Requirements

Bachelor's degree in analytics, statistics, engineering, math, economics, science or related discipline
3+ years of professional experience in any one of the Cloud data spaces such as AWS, Azure or GCP
3+ years experience in engineering data pipelines using big data technologies (Python, pySpark, Real-time data platform like Active MQ or Kafka or Kinesis) on large scale data sets
Strong experience in writing complex SQL and ETL development with experience processing extremely large data sets
Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
Familiarity with AWS Services (S3, Event Bridge, Glue, EMR, Redshift, Lambda)
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 environments
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

Responsibilities

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 and collaboration
Act as in-house data expert and make recommendations regarding standards for code quality and timeliness
Architect cloud-based data infrastructure solutions to meet stakeholder needs

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 over $55 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.

Minimum degree/education level required: Bachelors

Fields of acceptable educational study: Analytics, statistics, engineering, math, economics, science, computer science

Minimum required years of experience: 3

Responsibilities:

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 and collaboration
Act as in-house data expert and make recommendations regarding standards for code quality and timeliness
Architect cloud-based data infrastructure solutions to meet stakeholder needs

Skills & Qualifications:

Bachelor’s degree in analytics, statistics, engineering, math, economics, science or related discipline
3+ years of professional experience in any one of the Cloud data spaces such as AWS, Azure or GCP
3+ years experience in engineering data pipelines using big data technologies (Python, pySpark, Real-time data platform like Active MQ or Kafka or Kinesis) on large scale data sets
Strong experience in writing complex SQL and ETL development with experience processing extremely large data sets
Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
Familiarity with AWS Services (S3, Event Bridge, Glue, EMR, Redshift, Lambda)
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 environments
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

Compensation decisions are determined using a variety of factors such as skill set, experience, and education or certifications. If we extend an offer for employment, we will consider all individual qualifications. Below are our salary ranges for this position based on office location:

San Francisco Office $119,000 - $179,000

New York Office $109,000 - $164,000

GoodRx also offers additional compensation programs such as annual cash bonuses, annual equity grants for most positions, and generous benefits. Our great benefits offerings include medical, dental, and vision insurance, 401(k) with a company match, an ESPP, unlimited vacation, 11 paid holidays, and 72 hours of sick leave. GoodRx also offers additional benefits like mental wellness and financial wellness programs, fertility benefits, supplemental life insurance for you and your dependents, company-paid short-term and long-term disability, and more!

At GoodRx, we deeply value in-person connection and collaboration, which is key to our company culture. GoodRx is a hybrid work environment, and we ask employees to be in the office a minimum of twice a week to one of our hubs in Santa Monica, San Francisco, and New York City.

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 $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 www.goodrx.com.