Senior Data Analytics Engineer at Lirio

We are looking for a Senior Data Analytics Engineer to join our Data Operations team at Lirio. Our organization is dedicated to advancing healthcare through our Behavior Change AI platform, and this role is central to how we transform clinical data into actionable insights. You will work closely with both internal teams and our clients to build robust data models, optimize complex pipelines, and ensure our reporting meets the highest standards of quality. This position is fully remote for candidates residing in the United States, with a hybrid option available for those based in Tennessee.

Key outcomes

• Design, implement, and maintain our analytics engineering strategy to ensure reliable data pipelines and high-quality reporting artifacts.
• Collaborate with stakeholders to translate technical questions into analytic requirements that validate the efficacy of our AI solutions.
• Create and support self-service tools that empower both internal users and external clients to access data independently.
• Provide expert guidance to vendors and internal teams regarding data analytics initiatives, client onboarding, and performance optimization.
• Support team-wide efforts to maintain system observability and meet established service level agreements.
• Participate in research and development initiatives focused on clinical data and machine learning features to support our broader organizational goals.

Requirements

• A Bachelor’s degree in a related field and at least 7 years of professional experience.
• A minimum of 5 years of experience specifically focused on developing data analytics methods and tools.
• Proven experience in a senior technical role, ideally within the healthcare industry working with complex clinical datasets.
• Demonstrated knowledge of software engineering principles, data modeling best practices, and data governance.
• Experience operating systems within regulated environments, such as those adhering to SOC 2 Type 2 or HITRUST standards.
• Technical proficiency with SQL, Python, Snowflake (or similar managed data warehouses), Docker, and Airflow.
• Strong communication skills with the ability to explain technical subjects to diverse audiences and interact authoritatively with clients.
• A demonstrated ability to lead initiatives, mentor colleagues, and solve complex problems with empathy and flexibility.
• Fluency in English.

Preferred qualifications

• Experience working with JavaScript, D3.js, DBT, or Observable is considered a plus.

Compensation

The expected salary range for this role is $125,000 to $145,000 USD. We offer a comprehensive benefits package, which includes:

• Medical, dental, and vision insurance, with HSA options available.
• Company-paid short-term and long-term disability insurance.
• Company-paid life and AD&D insurance.
• 401k plan with company match.
• Flexible time off policy.
• 10 paid holidays, plus a company-wide closure during the holiday week.
• Remote work flexibility.

How to apply

If you are interested in joining our team and contributing to the future of healthcare technology, please submit your application for consideration. We look forward to reviewing your background and discussing how your expertise can support our mission.