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Founding Data Engineer
- San Francisco, California, United States
- San Francisco, California, United States
À propos
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 our Founding 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 Head of Engineering 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-$210,000 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 require working on-site 3 days a week (Tuesday, Wednesday, Thursday) in San Francisco and we are open to relocation.
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.
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Compétences linguistiques
- English
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