Senior Staff Software Engineer – Data Platform

Description

You will help design and build the data platform and backend services behind the company's healthcare SaaS products.

This is a hands-on leadership role for an engineer with deep knowledge of database and data architecture, cloud-native backend work, scalability, security, and healthcare interoperability.

The strongest candidates pair solid software engineering with a knack for building secure, high-performance data designs for large multi-tenant systems that hold sensitive health information.

Responsibilities

• Build scalable backend services and data platforms for multi-tenant SaaS products.
• Model and tune relational and non-relational databases, including how their storage is organized.
• Create scalable pipelines that ingest, integrate, and process large and intricate healthcare datasets.
• Shape cloud-native data designs that combine databases, data lakes, lakehouses, and distributed platforms.
• Build APIs and integrations for healthcare interoperability, including HL7 and FHIR.
• Set the architecture for security, encryption, access control, auditing, data governance, retention, and regulatory compliance.
• Design for high availability, disaster recovery, performance, and scale.
• Guide the team technically through architecture decisions while still designing and coding hands-on.
• Work closely with Software Engineering, Product, Security, Quality, and Regulatory teams.

Requirements

• A bachelor's or master's degree in computer science, engineering, information systems, or a closely related field.
• 10+ years of software engineering experience, including substantial backend and data platform work.
• Deep hands-on experience designing and tuning relational databases such as PostgreSQL, SQL Server, or MySQL.
• Experience with NoSQL systems such as MongoDB, Cosmos DB, or similar.
• Solid experience with Azure, AWS, or GCP and cloud-native architectures.
• Experience with current data pipelines, ingestion frameworks, data lakes, lakehouses, and distributed data architectures.
• A solid grasp of multi-tenant SaaS design, APIs, scalability, security, and data governance.
• Experience designing systems that process sensitive or regulated data.
• Preferred: experience in healthcare software or another regulated industry.
• Preferred: experience with HL7, FHIR, EHR/EMR integration, or healthcare interoperability.
• Preferred: experience with Databricks, Azure Data Factory, Kafka, Spark, or similar tools.
• Preferred: experience with containerized environments such as Docker and Kubernetes.

Conditions

Standard work schedule, Monday through Friday.

Office-based role.

Salary range for this role based in Indiana: $135,800.00, $203,750.00.

May be eligible for a variable annual bonus tied to company, team, and/or individual performance, per company policy.

Benefits

• Choice of national medical and dental plans, plus a national vision plan and health incentive programs.
• Employee assistance and family support programs, commuter benefits, and tuition reimbursement.
• At least 120 hours of PTO and 10 paid holidays each year.
• Paid parental leave: 3 weeks for bonding and 8 weeks for caregiver leave.
• Accident and life insurance, plus short- and long-term disability, per company policy.
• Retirement savings, including a 401(k) plan for U.S. employees.
• Employee Stock Purchase Plan (ESPP) that lets eligible staff buy company stock at a discount.
• Total Rewards package for U.S. employees and their families.