Senior Data Engineer

Lirio is a technology/software company that provides expertise in a variety of behavioral science domains (e.g., behavioral economics, social psychology, public health), data science, and machine learning to drive consumer engagement, close gaps in preventive and chronic care, and promote health and well-being across an individual’s lifespan. Lirio’s behavior change AI platform unites behavioral science with advanced artificial intelligence (AI) to deliver Precision Nudging health interventions. Precision Nudging is the application of behavioral science to health interventions personalized by AI to each individual that overcome barriers to action at the right time and place for scalable, behavior change. 

This is a remote role with the opportunity to be hybrid if located in Tennessee. All applicants must be authorized to work in the US without sponsorship.

To ensure an excellent onboarding experience and integration into the company, new colleagues will spend their first week onsite at one of our offices in Tennessee. Travel expenses will be paid. This is a requirement. 

Position Summary

The Senior Data Engineer is responsible for the design, implementation, and continuous operation of Lirio’s data platform. The Senior Data Engineer ensures that data from internal and external sources is collected, transformed, and presented in a usable form to the various data consumers within the organization. The Senior Data Engineer assures the execution of the data platform and processes, including monitoring, proactively identifying issues, troubleshooting and timely implementation of corrections or improvements.  The Senior Data Engineer collaborates with the broader technology team to engineer new data models, systems and workflows.  The Senior Data Engineer provides subject matter expertise across the organization. 

Essential Duties & Responsibilities

Client Solutions (30%) 

• Communicate with current and future clients to assess data needs and requirements 

• Assist with onboarding and implementation of client data management solutions 

• Adhere to operational processes and playbooks for client facing activities such as onboarding and change implementation 

• Serve as a trusted problem solver for client-facing data challenges, escalating and resolving issues efficiently 

• Maintain data governance and security/privacy standards when working with sensitive client data 

 

Feature Implementation (20%) 

• Design and implement new features, tools, capabilities, and improvements within the data platform to facilitate and scale data operations across the organization. 

• Troubleshoot and resolve defects or unexpected behavior in new features to ensure stable delivery. 

Process Improvement (20%) 

• Identify, propose, and implement solutions across the data platform to ensure that continuing operations are scalable and reliable 

• Perform root cause analysis to identify and resolve systemic issues across workflows. 

Monitoring (10%) 

• Monitor the various automated and semi-automated jobs for failures 

• Offer resolution suggestions and implement permanent fixes for the underlying causes of errors 

 

Technical Leadership (20%) 

• Understand all aspects of our data platform and provide expertise and guidance across our organization to colleagues, clients, and partners 

• Act as a key escalation point for troubleshooting technical problems, guiding others through issue resolution and best practices in problem solving