Data Engineer

About the role

Datavant is seeking a Data Engineer to join its Business Intelligence & Analytics team. You will help build and scale reporting, analytics, and data platform capabilities that enable trusted, actionable health data across the organization.

Key responsibilities

• Design and evolve scalable data platform infrastructure, orchestration frameworks, and data models for reporting and operational systems.
• Partner with Product, Engineering, Analytics, and Operations to translate business needs into robust data solutions.
• 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, cost, and delivery speed.
• Mentor engineers, establish best practices for data engineering, observability, and Infrastructure‑as‑Code.
• Drive improvements in testing, monitoring, security, and cost optimisation across the platform.
• Review code, infrastructure, and architecture to ensure high quality and performance.

Required profile

• 4+ years of experience in software development or data engineering.
• Experience contributing to complex technical initiatives and collaborating across teams.
• Proficiency with AI‑assisted engineering tools to improve workflows and code quality.
• Strong background in modern data modelling, transformation practices, and scalable architecture patterns.
• Hands‑on experience designing and operating data pipelines and orchestration frameworks.

Required skills

• Python
• SQL
• dbt
• Apache Airflow
• Terraform
• Cloud‑native platforms (e.g., AWS, GCP, Azure)