Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health.

By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. The Business Intelligence Analytics team within Datavant Product is looking for a Senior Data Engineer to help build and scale our reporting, analytics, and data platform capabilities. Our team is focused on creating a trusted and scalable analytics platform that delivers clear, actionable insights across Datavant.

In this role, you'll help improve our data ecosystem, modernise reporting capabilities, and enable better decision-making through reliable, high-quality data. We're looking for someone who enjoys solving complex data challenges, building scalable solutions, and partnering with both technical and non-technical teams to deliver meaningful outcomes. You Will: • Design and evolve scalable data platform infrastructure, orchestration frameworks, and data models that support reporting, analytics, and operational systems.

• Partner across Product, Engineering, Analytics, and Operations to translate business needs into scalable data solutions and platform capabilities. • Build and maintain reliable, observable, and reusable data workflows using Python, SQL, dbt, Airflow, Terraform, and cloud-native technologies. • Lead technical discussions and architecture decisions, balancing scalability, reliability, maintainability, cost, and delivery speed.

• Mentor engineers and help establish best practices for data engineering, observability, Infrastructure-as-Code, and operational excellence. • Drive improvements in testing, monitoring, reliability, security, and cost optimisation across the platform. • Review code, infrastructure, and architecture to support high standards of quality, maintainability, and performance.

What You Will Bring to the Table: • 7+ years of experience in software development or data engineering, including experience contributing to complex technical initiatives and collaborating across teams. • Experience using AI-assisted engineering tools to improve development workflows, code quality, operational efficiency, and scalability. • Strong experience with modern data modelling, transformation practices, and scalable architecture patterns across analytical and operational domains.

• Experience designing and operating data pipelines and orchestration frameworks using technologies such as dbt, Apache Airflow, Python, and cloud-native platforms. • Experience building and operating cloud-based data platforms in AWS, Azure, or GCP, including Infrastructure-as-Code practices using Terraform or similar tools. • Experience supporting platform reliability through observability, monitoring, operational excellence, performance optimisation, and cost management.

• Familiarity with CI/CD pipelines, automated testing strategies, and modern software engineering practices for reliable data platforms. • Strong communication and collaboration skills, with the ability to partner effectively across engineering, analytics, product, and operations teams. • Ability to balance competing priorities, navigate ambiguity, and deliver impactful solutions.

Bonus points for: Prior experience in healthcare or another highly regulated industry such as finance, insurance, or life sciences.