Viz.ai is the leader in building and deploying AI-powered Care Pathways and helping doctors do their work. The Viz Platform is deployed in 2,000 hospitals across the United States and trusted by many of the leading life sciences companies. The platform uniquely combines real-time, multimodal clinical data with deep clinician engagement to detect disease earlier, coordinate care teams, and help ensure patients receive the right treatment faster. Viz.ai was the first company to be awarded CMS reimbursement for AI and is ranked the #1 Healthcare AI Platform by hospitals and health systems in the Black Book Research survey. For more information, visit Viz.ai.
Job Description:
Viz.ai is growing fast, and as we grow we scale both in the number of patients we treat and in the number of products we have in our portfolio. Your mission is to design and build the next-generation data infrastructure and pipelines, in addition contributing to an ongoing project that serves both our customers and internal data teams with scalable and reliable solutions.
You will:
Make a critical contribution to shaping and developing the core of our Data Platform used for AI research and business intelligence, from design to implementation.
Design and build complex data pipelines to move and manipulate data from a wide variety of data sources.
Create a system that will be used to support our data product offering.
Closely collaborate with various teams, including Software Engineering, AI Engineering and Product Management .
Tech stack:
We are running on AWS with Python as the main programming language for the backend. We are using various technologies such as S3, DBT, ETL, ELT, Spark, DynamoDB, Postgres, RabbitMQ, Docker, Redis, Prometheus, Terraform and others. We are always open to new technologies and tools that will help us to do our job even better.
What success looks like:
Self-contributor who excels at working independently and can also collaborate effectively as a valuable team member.
Mentor and advise other team members in code review, performance, scalability and more.
Eager to learn new things and also proactively suggest new ideas and initiatives.
Excellent communication and collaboration skills.
Team player, highly motivated, can-do approach.
Requirements:
A team player with a strong can do mentality.
6+ years of professional experience as a data engineer.
5+ years of experience with Python or similar programming languages.
Proven experience in data pipeline architecture, including working on ETL, ELT projects in a production environment.
Experience with SQL, NonSQL databases, and data lakes.
Experience working with AI and LLM tools such as Cursor, Claude Code or similar.
Experience working with terraform, CDC, DBT, Github or IaC in general
Experience working with AWS in a production cloud environment and AWS services such as Glue, Athena.
Excellent design capabilities: understanding complex requirements, architectural considerations, and having the proven ability to design flexible, reliable, and scalable solutions.
Experience with micro services architecture and distributed systems - Advantage
B.Sc. or higher in Computer Science or in a similar field.
If you are looking to make an impact, we are mission-driven and are making a difference in peoples’ lives every day.
If you want to be a part of an amazing team , our people are the heart of everything we do.
If you are a self-starter and naturally motivated, our work is driven by curiosity, innovation and team collaboration which allows us to leverage our skills immeasurably.
We are a remote-first company across the U.S. and EU, with a team in Tel Aviv operating in a flexible hybrid model, conveniently located near a train line.
Viz.ai is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided.
In the U.S., Viz offers competitive benefits, including medical, dental, vision, 401(k), generous vacation, and additional benefits to full-time employees. Viz.ai is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis prohibited by federal, state, or local law.
Employees in Israel are offered a comprehensive benefits package, including, among others: dental insurance, performance-based bonuses, a Cibus meal allowance, meals at the office, and more.
If you’re applying for a position in San Francisco, please review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
#LI: GH1
#LI: remote
Skills Required
- 6+ years of professional experience as a data engineer
- 5+ years of experience with Python or similar programming languages
- Proven experience in data pipeline architecture, including working on ETL, ELT projects in a production environment
- Experience with SQL, NonSQL databases, and data lakes
- Experience working with AI and LLM tools
- Experience working with terraform, CDC, DBT, Github, or IaC in general
- Experience working with AWS in a production cloud environment and AWS services such as Glue, Athena
- Excellent design capabilities: understanding complex requirements and proven ability to design flexible, reliable, scalable solutions
- Experience with micro services architecture and distributed systems
- B.Sc. or higher in Computer Science or in a similar field
Viz.ai Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Viz.ai and has not been reviewed or approved by Viz.ai.
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Fair & Transparent Compensation — Pay is considered above average for many roles, with customer-facing functions citing clear OTE structures and quota mechanics. Market-aligned ranges in several departments reinforce a perception of competitive total compensation.
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Healthcare Strength — Benefits include medical, dental, vision, paid healthcare premiums, One Medical access, FSA/HSA, EAP, and employer‑sponsored life insurance. The breadth of coverage compares well to peer tech/healthtech employers.
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Leave & Time Off Breadth — Monthly Wellness Days, generous/unlimited-style vacation, paid parental leave, and flexible remote work are highlighted. These practices enable real time off when the entire team is off together.
Viz.ai Insights
What We Do
Viz.ai is a leader in applied artificial intelligence in healthcare. Our mission is to fundamentally improve how healthcare is delivered globally through intelligent software that promises to reduce time to treatment and improve access to care. Our flagship product, Viz LVO, leverages advanced deep learning to communicate time-sensitive information about stroke patients straight to a specialist who can intervene and treat. In February 2018, the U.S. Food and Drug Administration (FDA) granted a De Novo clearance for Viz LVO, the first-ever computer-aided triage and notification platform. In 2020, Viz LVO became the first AI software to receive approval from CMS. We are a distributed team with offices in San Francisco, Tel Aviv, and Heerenveen. We are backed by leading Silicon Valley investors, including Kleiner Perkins, Google Ventures, Green Oaks, CRV, and Threshold Ventures.
Why Work With Us
We are a global organization where our values (Patients First, Time is Brain, Quality Squared, Kindness Wins, and I am Accountable) are demonstrated daily, and our product saves lives! At Viz.ai, we provide professional development opportunities, promote from within, and value teamwork. Join our team to make an impact in saving people's lives.
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