Software Engineer - Mission Pet Health

Mission Pet Health is a company focused on providing support to veterinary hospitals. As a Software Engineer on the Hospital Experience Data Team, you will build infrastructure for data-as-a-service, manage complex data transformations, and develop REST APIs to standardize data access.

Responsibilities:

• Develop backend services and data integrations primarily using Python
• Implement complex data transformations, normalization logic, and schema mapping to unify fragmented data sources
• Design and enforce data hygiene and quality standards to ensure the reliability of data served across the organization
• Manage event-based communication and system messaging through NATS
• Build REST APIs to standardize and govern how internal teams access hospital data
• Operate data systems using MongoDB and relational databases to support both operational and analytical use cases
• Maintain system health and visibility using Datadog for observability and monitoring
• Partner with engineering and analytics teams to support their data access and application development needs
• Participate in architecture discussions, code reviews, and the continuous improvement of the data platform

Requirements:

• 4+ years of software engineering experience with a focus on data systems or backend architecture
• Strong proficiency in Python or other object-oriented backend languages such as Ruby, Go, Java, or C++
• Experience building data pipelines involving complex transformations, mapping, and data quality management
• Hands-on experience designing and implementing event-driven architectures
• Experience with messaging platforms, preferably NATS
• Solid experience with MongoDB and Relational Databases (RDBMS)
• Proven experience building and consuming REST APIs
• Experience working with cloud platforms such as AWS, Azure, or GCP
• Familiarity with observability tools, specifically Datadog
• Experience in the veterinary or healthcare technology space, particularly with Practice Information Management Systems (PIMS) and their associated data structures
• Experience with CDC (Change Data Capture) or ETL architectures
• Experience with Kubernetes and ArgoCD
• Familiarity with CI/CD pipelines and modern SDLC practices
• Experience using Terraform or other Infrastructure-as-Code tools