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Probably Genetic

Probably Genetic

www.probablygenetic.com

1 Job

25 Employees

About the Company

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.

Listed Jobs

Company background Company brand
Company Name
Probably Genetic
Job Title
Senior Software Engineer - Data
Job Description
**Job Title** Senior Software Engineer – Data **Role Summary** Founding Data Engineer responsible for designing, building, and maintaining the company’s data architecture and pipelines in AWS. Works closely with engineering, product, and business teams to deliver scalable, observable data infrastructure that powers internal insights and commercial data products. **Expectations** - Deliver reliable, maintainable data infrastructure and pipelines that scale with growth. - Translate complex data challenges into elegant, actionable solutions. - Collaborate effectively with cross‑functional teams (engineering, product, business) to prioritize and execute data initiatives. - Present findings and improvements to stakeholders and incorporate feedback. - Operate in a fast‑paced, ambiguous environment and adapt to rapid change. **Key Responsibilities** - Design and implement AWS data infrastructure using Terraform, ensuring security and compliance. - Build and maintain data pipelines that ingest, transform, and store data for internal analytics and external products. - Implement observability (logging, monitoring, alerting) from day one in all data pipelines. - Design data tables and schemas that meet the needs of customers and internal teams. - Analyze and visualize data using BI tools to support business decisions and deliver tailored insights. - Collaborate with engineering and product leads to define data requirements and roadmap. - Continuously improve pipeline performance, reliability, and maintainability. **Required Skills** - Proficiency in Python and SQL. - Hands‑on experience building data infrastructure in AWS (EC2, S3, Redshift, Athena, Glue, etc.). - Terraform expertise for infrastructure as code. - Experience designing and implementing data pipelines with observability. - Strong analytical thinking and data visualization skills (BI tools such as Looker, Tableau, Power BI). - Excellent communication and ability to translate complex data into clear, actionable insights. **Optional / Desired Knowledge** - Healthcare data standards (HL7, FHIR, OMOP, HPO). - Marketing data from platforms like Google and Meta. - HIPAA compliance and data security best practices. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Data Engineering, Statistics, or a related field (or equivalent practical experience). - Certifications (preferred but not mandatory): AWS Certified Data Analytics – Specialty, AWS Certified Developer – Associate, Terraform Associate.
San francisco, United states
On site
Senior
30-12-2025