Lead Data Engineer

We are seeking a hands-on Lead Data Engineer to accelerate our Data Platform Stack and support our growth in a fast-paced startup environment. The ideal candidate will be responsible for building and maintaining data lakes, manipulating data through automated processes, and ensuring data quality and availability. Additionally, they will collaborate with internal stakeholders, lead a small team of data engineers, and provide technical guidance to support data-driven decision-making. This role offers the opportunity to contribute to the development of new products and make a significant impact in the healthcare industry.

• Build and maintain one or more data lakes to support scalable ingesting, manipulation, and reporting of data.
• Manipulate data to produce and maintain new data elements using repeatable, automated processes.
• Demonstrate knowledge of industry trends, infrastructure, technologies, tools, and systems, security practices.
• Experience in measuring and communicating the value of data platforms and tools.
• Display a sense of ownership over assigned work, requiring minimal direction and driving to completion in a sometimes fuzzy and uncharted environment.
• Build, operate, and maintain highly scalable and reliable data pipelines.
• Build Datawarehouse solutions that provide end-to-end management and traceability of patient data, enable and optimize internal processes and product features.
• Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Build and develop tools to support the use of AI/ML and other analytical models to improve understanding of patient behavior, provider prescribing, the patient experience on treatment, treatment patterns, and more.
• Collaborate with internal stakeholders to develop business domain concepts and data modeling approaches to problems faced by the organization in the analytics arena.
• Maintain and optimize existing data platform services and capabilities to identify potential enhancements, performance improvements, design improvements.
• Write and maintain unit/integration tests, systems documentation.
• Lead and coordinate a small team of onshore/offshore data engineers to ensure to assign priority and delegate tasks.
• Collaborate with product and other stakeholders to define requirements, provide technical guidance, help prioritize and support data-driven decision-making.

• Experience in building and maintaining data lakes for scalable ingesting, manipulation, and reporting of data
• Proficiency in manipulating data using repeatable, automated processes
• Knowledge of industry trends, infrastructure, technologies, tools, and systems, security practices
• Ability to measure and communicate the value of data platforms and tools
• Sense of ownership and ability to work with minimal direction in a dynamic environment
• Experience in building highly scalable and reliable data pipelines
• Expertise in building Datawarehouse solutions for end-to-end management and traceability of patient data
• Implementation of processes and systems to monitor data quality and ensure accuracy and availability for key stakeholders
• Ability to build and develop tools to support the use of AI/ML and other analytical models
• Collaboration with internal stakeholders to develop business domain concepts and data modeling approaches
• Maintenance and optimization of existing data platform services and capabilities
• Proficiency in writing and maintaining unit/integration tests and systems documentation
• Leadership and coordination of a small team of data engineers
• Collaboration with product and other stakeholders to define requirements and provide technical guidance for data-driven decision-making.

• Competitive salary range of $116,000 - $186,000
• Opportunity to work in a dynamic, fast-paced startup environment
• Hands-on role as a Lead Data Engineer
• Opportunity to work with a team of forward-thinking, experienced health and technology professionals
• Chance to solve big problems and create value in the healthcare industry
• Opportunity to make prescription drugs more affordable for everyone
• Ability to build and maintain data lakes for scalable ingesting, manipulation, and reporting of data
• Experience in measuring and communicating the value of data platforms and tools
• Ownership over assigned work with minimal direction
• Opportunity to build, operate, and maintain highly scalable and reliable data pipelines
• Chance to build Datawarehouse solutions that provide end-to-end management and traceability of patient data
• Ability to collaborate with internal stakeholders to develop business domain concepts and data modeling approaches
• Opportunity to maintain and optimize existing data platform services and capabilities
• Chance to lead and coordinate a small team of data engineers
• Collaboration with product and other stakeholders to define requirements and provide technical guidance
• Opportunity to work with a diverse workforce in an inclusive environment