Data Engineer

📋 Description

• • Join Lyrebird Health as a Data Engineer and play a pivotal role in constructing and evolving a robust, scalable data platform that empowers teams across the entire business to make informed, data-driven decisions.
• • You will be instrumental in the development and enhancement of critical data pipelines, ensuring the efficient and reliable flow of information from various sources into our analytics-ready tables.
• • Take ownership of maintaining core data models, ensuring their integrity, accuracy, and scalability to meet the growing demands of the business.
• • Provide essential support for self-serve reporting initiatives, enabling product, finance, and go-to-market teams to access and interpret data independently, fostering a culture of data literacy.
• • Collaborate closely with experienced data scientists, analysts, and engineering partners, transforming complex business questions into clear, actionable, and dependable data solutions.
• • Actively participate in learning and implementing best practices in data quality assurance, rigorous testing methodologies, and proactive observability as our data platform matures and expands.
• • This is a hands-on opportunity for an individual early in their data engineering career, eager to write high-quality code, embrace and master modern data technologies, and significantly contribute to making data more accessible and usable for everyone at Lyrebird Health.
• • Lyrebird Health is at the forefront of transforming healthcare quality and accessibility by automating the most time-consuming tasks for clinicians. Our innovative solutions are utilized daily by thousands of clinicians across a diverse range of disciplines, and this user base is experiencing rapid and continuous growth.
• • Clinicians place immense trust in our platform to deliver a fast, reliable, and secure experience, often in high-pressure environments where absolute accuracy is paramount. We understand the gravity of this responsibility and are deeply committed to earning and maintaining that trust.
• • Our core mission is to continuously build products that genuinely improve the delivery of care, all while upholding the highest standards of reliability and security.
• • You will be part of an ambitious, fast-moving team that maintains a high bar for quality, clarity, and individual ownership in all aspects of our work.
• • We foster an environment that values thoughtful decision-making, encourages direct and transparent communication, and celebrates individuals who demonstrate a deep passion for the impact of their contributions.
• • Contribute to the design and implementation of ETL/ELT processes, ensuring data is transformed, validated, and loaded efficiently into our data warehouse or data lake.
• • Develop and maintain data models that support business intelligence, reporting, and analytical needs, ensuring they are well-documented, performant, and aligned with business requirements.
• • Write clean, maintainable, and well-tested code in languages such as Python or SQL to build and automate data pipelines.
• • Monitor data pipelines for performance, reliability, and accuracy, identifying and resolving issues proactively.
• • Work with stakeholders to understand their data needs and translate them into technical requirements and data solutions.
• • Contribute to the development of data quality frameworks and implement data validation checks to ensure the accuracy and consistency of data.
• • Explore and implement new data technologies and tools to improve the efficiency and capabilities of our data platform.
• • Participate in code reviews, providing and receiving constructive feedback to maintain high code quality standards.
• • Assist in the migration of data from legacy systems to the new data platform.
• • Document data processes, pipelines, and models to ensure knowledge sharing and maintainability.
• • Support the broader engineering team in data-related aspects of product development.
• • Gain exposure to cloud data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) and data processing frameworks (e.g., Spark, dbt).
• • Help build and maintain a culture of data excellence within the organization, promoting best practices and data governance.
• • You will have the opportunity to learn and grow your skills in a supportive environment, working on challenging and impactful projects that directly contribute to improving healthcare outcomes.