Sr. Software Engineer

Inmar Intelligence•Chicago, NC

10h

About The Position

The Senior Software Engineer plays a key role in delivering data products and services that power Inmar’s healthcare analytics and applications. This role is hands-on and execution-focused, with responsibility for building reliable data access layers, APIs, and application-facing datasets while collaborating closely with platform, analytics, and product teams. This position is ideal for an experienced engineer who is strong in data delivery and software development, with working knowledge of machine learning and AI concepts and an interest in applying them within production data products.

Requirements

5+ years of experience in software or data engineering.
Strong proficiency in BigQuery, Python and SQL.
Experience delivering data products, including APIs, services, or application- facing datasets.
Working knowledge of machine learning or AI concepts, such as feature engineering, model inputs/outputs, or GenAI usage.
Experience working on cloud-based data or analytics platforms.
Solid understanding of data modeling, data quality, and performance considerations.
Strong communication skills and ability to collaborate across teams.

Nice To Haves

Experience building or consuming RESTful APIs or microservices.
Hands-on exposure to ML/AI workflows, including model integration or prompt engineering.
Familiarity with CI/CD, infrastructure as code, or cloud-native development practices.
Experience in healthcare or regulated data environments.

Responsibilities

Data Products & Delivery (40%) Design and deliver data products that make analytics, insights, and ML outputs easily consumable by downstream applications and users.
Build and maintain data access layers, including views, services, and APIs that expose curated datasets in a secure and scalable manner.
Develop and support RESTful APIs and service endpoints for data retrieval, integrations, and internal platform use cases.
Ensure data products meet standards for reliability, performance, documentation, and usability.
Applied ML & AI Enablement (20%) Integrate ML and AI outputs into data products and services, enabling downstream consumption by applications and analytics tools.
Support feature delivery, inference outputs, and GenAI-driven workflows in collaboration with data science and analytics teams.
Apply working knowledge of machine learning, NLP, and GenAI concepts, including prompt engineering, to real-world data product use cases.
Contribute to MLOps patterns, such as model input/output handling, monitoring hooks, and versioned data access.
Platform & Integration Engineering (20%) Collaborate with data platform and pipeline teams to ensure upstream data is well-modeled, reliable, and ready for consumption.
Optimize data access patterns across BigQuery, Iceberg, and Trino/Starburst for performance and cost efficiency.
Implement authentication, authorization, and governance controls for data services and APIs.
Technical Collaboration & Ownership (10%) Work closely with product managers and stakeholders to translate business needs into well-defined data products.
Break down moderately complex problems and contribute to design and architectural discussions.
Communicate technical decisions clearly to both technical and non-technical audiences.
Quality, Mentorship & Best Practices (10%) Write clean, maintainable, and well-tested code; participate in code reviews and design reviews.
Mentor junior engineers and help uphold engineering best practices.
Contribute to improvements in CI/CD, testing, observability, and developer workflows.

Benefits

Medical, Dental, and Vision insurance
Basic and Supplemental Life Insurance options
401(k) retirement plans with company match
Health Spending Accounts (HSA/FSA)
Flexible time off and 11 paid holidays
Family-building benefits, including Maternity, Adoption, and Parental Leave
Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning
Wellness and Mental Health counseling services
Concierge and work/life support resources
Adoption Assistance Reimbursement
Perks and discount programs