Senior Data Engineer

Posted 16 Hours Ago
San Francisco, CA
In-Office
150K-190K Annually
Senior level
Biotech
The Role
As a Senior Data Engineer, you will build and maintain data architecture and pipelines using AWS and Terraform, while driving data insights for the company.
Summary Generated by Built In
About Probably Genetic

Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible.

We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it.

Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity.

About the role

We’re looking for a Senior Data Engineer who’s excited to help shape the future of how we use data to make better decisions and improve patient lives. In this role, you’ll establish our data engineering architecture and build the pipelines that power both internal insights and our commercial data products. Your work will help drive clarity, impact, and growth across the company.

What you will do
  • Partner closely with the CTO and Head of Product to turn complex data challenges into elegant, scalable solutions

  • Build reliable, maintainable infrastructure in AWS using Terraform to support our growing data needs

  • Design data tables and pipelines that serve the unique needs of our customers and internal teams

  • Implement best-in-class data pipelines with observability built in from day one

  • Analyze and visualize data in BI tools to enable informed business decisions and deliver tailored insights to customers

  • Share your work and impact across teams — presenting results, learning from feedback, and continuously improving

Who you are

We’re excited to meet candidates from all backgrounds who are eager to learn, grow, and make an impact. Here are a few things that will help you thrive in this role:

  • A proven ability to translate complex information into clear, actionable insights — and to collaborate effectively across teams

  • Fluency with Python, SQL, and other relevant technologies

  • Experience building advanced data infrastructure in AWS using Terraform

  • Strong analytical thinking and hands-on experience with data visualization tools

Some things that are not required, but you could learn on the job:

  • Working with healthcare data standards (including HL7, FHIR, OMOP, and HPO)

  • Understanding marketing data from platforms like Google and Meta

  • Deepening your expertise in HIPAA compliance and data security best practices

As with all new hires at Probably Genetic, you will also need to be:

  • A good person. We work with some of the most marginalized populations on the planet and empathy is key

  • Patient-focused and motivated to have a lasting, positive impact on humanity

  • Comfortable in a fast-paced, often ambiguous environment with rapid change

  • Action-oriented and excited to build a company from the ground up

The salary range for this role is $150,000-$190,000 annually. Actual compensation offered will depend on several factors including but not limited to: work experience, education, skill level, and/or other business and organizational needs.

This is a hybrid role that will requires working on-site 3 days a week (Tuesday, Wednesday, Thursday) in San Francisco. Local candidates only. Relocation is not currently offered for this role.

What we offer at Probably Genetic:
  • An engaging and supportive team all on a mission to improve lives

  • Fair and equitable compensation with competitive early-stage equity grants

  • Generous Flexible Time off policy, that we actually use

  • Parental Leave Benefits (12 weeks for both birthing and non-birthing)

  • Hybrid, flexible work with high-trust and autonomy

  • A bright, inviting, pet-friendly office in Downtown SF near transit

  • A “work from anywhere” policy, up to 4 weeks a year

  • Regular team retreats in exciting destinations

  • Health Benefits including medical, dental, vision, therapy, FSA, and 401k

  • And so much more!

Probably Genetic is committed to fostering a welcoming and inclusive work environment for people of all genders, sexuality, ethnicity, socioeconomic background and life experiences. We urge candidates of all backgrounds to apply. If you require specific accommodations as you interview or consider working with us, please let us know.

Top Skills

AWS
Python
SQL
Terraform
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The Company
HQ: San Francisco, California
29 Employees

What We Do

Probably Genetic helps undiagnosed rare disease patients find answers to their symptoms in a matter of weeks.

There are over 400 million people worldwide that have a rare disease — more than cancer and HIV patients combined. Half of those patients are currently undiagnosed and half of them are children, and it takes 5-7 years on average for these patients to get a diagnosis. With our system, patients can get answers in a matter of weeks.

Our online Symptom Checker identifies rare disease patients using state-of-the-art machine learning models, gets them tested through our direct-to-consumer genetic testing service, and helps connect these patients to potentially life-saving treatments and advocacy communities. We partner with drug developers to offer sponsored testing programs that allow patients to access genetic testing for little to no cost.

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