At PatientPop, we believe healthcare providers should focus their attention on delivering quality care to patients. That's why we devised a solution that allows providers to build a thriving practice, without being tied down by the burdens of business growth.

We've helped thousands of providers since our founding in 2014. Along the way, we cultivated an incredible work environment — one of the best, according to Great Place to Work.

Our dedicated team brings a blend of experiences that drives innovation and customer success. Our development-focused culture allows employees to thrive personally and professionally. And our bustling (dog-friendly!) offices are in an enviable location: just two blocks from the beach and around the corner from 3rd Street Promenade.

Now, we want you to be a part of it all.

How you will contribute:

You will work with Data Engineers, Data Scientists, and Business Stakeholders from marketing, sales, product, customer success and finance to develop elegant solutions to meet data needs. You will deploy and maintain our portfolio of machine learning models and other data products and manage our in-house data science platform. You will define technical requirements and design the architecture for our pipelines and data warehouse. You will build optimized ETL processes, ensure data quality and consistency and enable access to data users across the company.

Skills you’ll bring:

  • 5+ years of experience with data engineering and/or machine learning engineering
  • Strong proficiency in SQL and Python
  • Proven ability to devise innovative solutions.
  • Experience gathering complex business requirements and identifying data needs.
  • Extensive experience with the design and development of relational databases and data warehouses.
  • Extensive ETL development experience with large-scale DBS or big data systems.
  • AWS Redshift experience strongly preferred.
  • Experience supporting Data Scientists, including code optimization and productionalization of ML models.
  • Experience supporting BI reporting tools such as Periscope, Tableau or PowerBI.

Why you're important to us:

This role will significantly impact our organization by architecting and developing data warehouse solutions and productionalizing data products to help provide key market, customer and product insights. With these insights, we can prospect and sell more effectively and create high-value products to help our customers thrive.

In 90 days you will:

Define technical requirements and data architecture for our data warehouse. Build pipelines and databases to extend our industry-leading stores of market and user data. Deploy data products that support business decisions company-wide. You should prepare to have an immediate impact on the organization from day one. You’ll take this far beyond your first 90 days. Expect to constantly be learning, challenging yourself and strategizing with your team on building a world-class data engineering practice.

PatientPop has one simple mission: to help healthcare practices thrive. We do this by giving providers everything they need attract and recall patients to continuously grow their practices.

Our solution is the first complete cloud-based platform that's HIPAA-compliant and proven to accelerate new patient acquisition, while also eliminating the need for dedicated marketing resources. With PatientPop, providers can attract more patients, manage online reputation, modernize the patient experience, and automate the front office — all without sacrificing quality patient care. Learn more at


We will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.



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