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  • Verana Health is passionate about bettering healthcare. The goals align perfectly with my values, and this is the team I want to do this work with. I was excited about the opportunity to immediately accelerate Verana’s vision.

    Those that are passionate about this type of work with analytical and problem solving skills will flourish here. Those who are self-starters and team players with a desire to go above and beyond expectations will excel in our fast-paced technology team.

    Nirav Vira, Director, Technology

  • At Verana, I have amazing opportunities that challenge my limits, help me expand my knowledge, and give me a new perspective to work with. As a part of the engineering team I get to apply cutting-edge technologies for data processing and analysis.

    The data applications team works builds a secure, scalable, high availability cloud-based Web platform for clinical data. Those with a knowledge of handling data analytics, microservices, and a passion for data visualization would thrive here.

    Kevin Chang, Director, Data Technology Platform

Data Engineer (San Francisco)

The Data Platform Team is looking for a savvy Data Engineer to join our growing team of data experts. As a Data Engineer, you will design & build mission-critical data pipelines and platform that enable analytics for our internal & external customers on one of the biggest specialty healthcare data. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.


  • Create and maintain optimal data pipeline & platform architecture.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Work on fast iteration cycles and tight deadlines using an agile methodology.


  • BS/CS, MS/CS or equivalent.
  • Proficient coding skills in Python/ scripting languages. Expertise with Big Data technologies on AWS, i.e. EMR, Spark, Parquet, Kinesis, Hive, Presto, Airflow, etc.
  • Bonus points for working with Infrastructure-as-Code (e.g. Terraform).
  • Huge plus with experience on running ML/AI models in production on large scale data.
  • Prior healthcare experience is an advantage.
  • Excellent written and oral communication skills.
  • Ability to set and manage priorities judiciously.
  • Ability to articulate ideas to both technical and non-technical audiences. Exceptionally self-motivated and directed.
  • Superior analytical, evaluative, and problem-solving abilities.

To apply,  please email your resume to: