Senior Data Engineer
Content + Source + Freshness • 16 Dec 2025 • 95% confidence
Offer value
High value attributed to competitive compensation, significant impact on healthcare through data solutions, and growth opportunities in a cutting-edge environment.
- Compensation: $150K–$190K annually with equity options.
- Direct impact on patient healthcare outcomes.
- Opportunity to work with cutting-edge technology in healthcare.
Pros
- Competitive salary range ($150K-$190K) with equity options.
- Opportunity to work on impactful healthcare solutions.
- Engaging work culture focused on patient outcomes.
Cons
- High expectations may lead to a demanding work environment.
- Healthcare data experience preferred but not mandatory.
- Hybrid work requiring on-site presence three days a week.
Who it's for
Senior • Hybrid (3 days on-site in San Francisco)
Good fit
- Data engineers with extensive AWS experience.
- Tech-savvy professionals eager to aid healthcare innovation.
- Team-oriented individuals thriving in fast-paced environments.
Not recommended for
- Candidates without relevant experience in data engineering.
- Those seeking a fully remote position.
- Individuals who prefer stable, unchanging roles.
Motivation fit
Key skills
About the job
Location
San Francisco
Employment Type
Full time
Location Type
Hybrid
Department
Engineering
Compensation
- SFL4 $150K – $170K • Offers Equity
- SFL5 $170K – $190K • Offers Equity
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.
Compensation Range: $150K - $190K
