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.
Key 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.
Qualifications:
Required:
- 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.
Preferred:
- 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.
At Inmar, we put people first and that means empowering our associates to thrive at every stage of life and career. Our comprehensive and competitive benefits package is thoughtfully designed to support a wide range of lifestyles and life stages.
Eligible associates have access to:
Medical, Dental, and Vision insurance
Basic and Supplemental Life Insurance options
401(k) retirement plans with company match
Health Spending Accounts (HSA/FSA)
We also offer:
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
Please note that eligibility for some benefits may depend on your job classification and length of employment. Benefits are subject to change and may be governed by specific plan or program terms.
At Inmar, compensation reflects our belief in integrity, transparency, and the value of individual contributions. The hiring range for this position is:
91,364.63 - 152,274.38 USD Annual
The final offer may vary based on factors such as geographic location, job-related skills, education, certifications, work experience, and other relevant considerations.
Depending on the job level and role, it may include:
Annual discretionary bonuses through our Core Company Performance Bonus Plan
Equity grants, sign-on bonuses, and other tailored incentive opportunities
Additional discretionary compensation, such as:
The actual annualized salary offered at the time of hire will be communicated in the candidate’s offer letter. We remain committed to fairness and transparency across all locations. Where required, including for remote-eligible roles, local pay ranges are disclosed in accordance with applicable laws and regulations.
We are an Equal Opportunity Employer, including disability/vets.
Recruitment Fraud Notice:Recruitment fraud is an increasingly common scam where individuals pose as employers to offer fictitious job opportunities. Scammers sometimes impersonate Inmar recruiters on LinkedIn and other channels. We will never ask for payment or sensitive personal information during the hiring process. Verify any role on our official Workday Careers site and learn how to spot scams in ourfull notice.
This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.
