Data Engineer (Early Career-Mid Career)

Help Build the Future of Healthcare AI

Hi! We’re Infinitus — the first trusted voice AI platform transforming healthcare.

Built by ex-Googlers, startup veterans, and industry pros, our AI boosts productivity, slashes admin burden, and creates new ways to support patients with chronic conditions. We scale connections between patients, payors, and providers — empowering care teams and improving health outcomes.

The Mission

At Infinitus, our mission is simple: create time for healthcare by making access, adherence, and affordability easier than ever. Using multimodal AI, human-in-the-loop systems, and a rich knowledge graph, we’ve automated over 5 million calls—saving millions of hours for patients and providers.

Backed by top investors like Kleiner Perkins, Google Ventures, and a16z, we’re a team that loves to challenge the status quo and move fast at the intersection of AI and healthcare.

We're looking for an individual contributor Data Engineer to help guide the evolution of our data infrastructure, establishing it as a scalable foundation for data-driven decision-making across the company.

In this role, you'll be hands-on with data pipeline development, infrastructure design, and data platform engineering. You'll partner closely with our product pods, data teams, and analysts to build high-impact data solutions, while also helping develop how we define, test, and manage our data warehouse. You'll bring modern practices to how we design data architectures, implement ETL/ELT processes, and collaborate on data infrastructure, while helping other engineers and analysts level up their craft.

There are also opportunities to develop skills in Infrastructure as Code, micro-services built on the data warehouse, warehouse to data visualization platform coordination and in depth data governance, should these areas interest you.

Our team's mission is to reshape how we collect, process, and deliver data assets to power data products and analytics.

Build capacity: Create the systems, standards, and mentorship that empower partner teams and unlock new, scalable use cases for data.

Shape our data infrastructure: Help define our data architecture and pipeline design as we grow. Owning data engineering best practices and platform design.

Drive product and business decisions: Collaborate with partner teams to enable faster consistent data delivery and reliable metrics.

Uplift the team: Help partner teams design better systems, access better insights, and ship better data solutions through tooling, guidance, and training.

Scale our stack: Expand and maintain deployment processes, testing, monitoring, and documentation that let us ship confidently.

• 3+ years of experience in data engineering, analytics engineering, or a hybrid role spanning both

• Deep fluency in SQL, with experience writing modular, maintainable code in dbt (or similar frameworks)

• Strong experience with Python, Scala, or another data processing language

• Experience with data modeling and data architecture

• Hands-on with data warehouses (BigQuery, Snowflake, Redshift, etc.), relational databases (PostgreSQL, MySQL, etc.), and NoSQL databases (Firestore, DynamoDB, MongoDB, etc.)

• Experience with data pipeline orchestration tools (Airflow, Prefect, Dagster, etc.)

• Comfortable exploring ambiguity and translating business requirements into well-defined data solutions

• Experience supporting Product, Data Science, and Analytics teams with data infrastructure

• Excited to help others grow in their use of our data warehouse

Why You’ll Love It Here

• Competitive salary, equity, and 401(k)

• Wellness stipend & great benefits (medical, dental, vision)

• Generous PTO & parental leave

• Bi-annual offsites & a collaborative, mission-driven culture

• Hybrid work (SF office Mon/Tues/Thurs) + catered lunches (Bay Area Positions only)

  *Please Note: the above benefits are for salaried employees
  

What to Expect in the Interview Process

• Apply & meet our recruiting team

• Virtual Interviews to showcase your skills

• Final onsite loop to meet the team and get to know us better
  

Curious to Learn More?

• Read our Blog to hear from Infinauts about what we’re building

• Discover how our company values (CODES) guide us

• Follow our CEO, Ankit Jain, for industry updates
  

We’re building AI agents that tackle healthcare’s toughest problems and open new possibilities. Ready to join us? Let’s talk!
Infinitus Systems is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Infinitus Systems believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.