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Senior Data Engineer at Lirio. . Location: Remote. 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.. . Position Summary. . The . Senior D. ata 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 mon. itoring, 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 .  . . . . Evaluate the applicability of new platforms and technologies to Lirio’s data platform in support of the company’s business model.  . . . . Provide guidance and direction around emerging technologies, requirements, and features across the organization.  . . . . Collaborate extensively with other teams to ensure the delivery of accurate, high quality data products and capabilities.  . . . Other.  . . . Provide leadership and subject matter expertise across the organization..  . . . . Support governance and compliance initiatives..  . . . . Regular and reliable attendance..  . . . . Perform other duties as assigned. . . Qualifications. . . Bachelor's Degree in Computer Science or related field required. . Master's Degree in . Business Analytics, Business Administration, or similar . preferred. . 5-7 years of related work experience. . Demonstrated experience in software engineering or data engineering . . Prior experience in health tech preferable . . Highly proficient with Python and SQL and object oriented programming. . Familiar with UNIX or Linux systems and the command line. . Knowledge of toolchains for development such as Git, Gradle, Docker, etc.. . Understanding of batch and stream processing. . Familiar with cloud platforms. . Familiar with our tech stack (Snowflake, Airflow, Kafka, Kubernetes, etc.). . Comfortable navigating complexity and ambiguity. . Creative, dynamic, adaptable, and independent. . Strong sense of ownership of work and delivery. . Experience handling sensitive or restricted data. . Strong communicator to technical and non-technical audiences.  . . . Benefits. . . Medical (HSA available).  . . Dental.  . . Vision.  . . Short-term & long-term disability (company-paid).  . . Life & AD&D (company-paid).  . . 401K with company match.  . . 10 paid holidays + holiday week company closure.  . . Flexible time off policy.  . . Work from home. . Salary range: $125,000-$150,000.