Staff Engineer

Join Us in Transforming Healthcare with the Power of Data & AI

At Innovaccer, were on a advanced Healthcare Intelligence Platform ever created. Grounded in an AI-first design philosophy, our platform turns complex health data into real-time intelligence, empowering healthcare systems to make faster, smarter decisions.

unified

Agent-first approach

Youll have the opportunity to define and develop platform capabilities that help healthcare organizations tackle some of the industrys most pressing challenges, such as Kidney disease management, Clinical trials optimization for pharmaceutical companies, Supply chain intelligence for pharmacies, and many more real-world applications.

Were looking for talented engineers and platform thinkers who thrive on solving large-scale, complex, and meaningful problems. If youre excited about working at the intersection of healthcare, AI, and cutting-edge platform engineering, wed love to hear from you.

About the Role

Staff Engineer

A Day in the Life

• Architect, design, and build scalable data tools and frameworks.
• Collaborate with cross-functional teams to ensure data compliance, security, and usability.
• Lead initiatives around metadata management, data lineage, and data cataloging.
• Define and evangelize standards and best practices across data engineering teams.
• Own the end-to-end lifecycle of tooling from prototyping to production deployment.
• Mentor and guide junior engineers and contribute to technical leadership across the organization.
• Drive innovation in privacy-by-design, regulatory compliance (e.g., HIPAA), and data observability solutions.

What You Need

• 8+ years of experience in software engineering with strong experience building distributed systems.
• Proficient in backend development (Python, Java, or Scala or Go) and familiar with RESTful API design.
• Expertise in modern data stacks: Kafka, Spark, Airflow, Snowflake etc.
• Experience with open-source data governance frameworks like Apache Atlas, Amundsen, or DataHub is a big plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their native data governance offerings.
• Bachelor's or Masters degree in Computer Science, Engineering, or a related field.