Key skills
PythonSQLBashData processing workflowsQuality assurancePandasAWSDockerSnowflakeRedshiftAIArtificial IntelligenceAnalyticsAzure
About this role
Beacon is a rapidly growing healthcare AI infrastructure company focused on enabling the responsible development and deployment of clinical artificial intelligence solutions. They are seeking a Software Engineer specialized in data privacy and de-identification to expand and improve large-scale data processing systems that protect patient privacy while enabling AI innovation.
Responsibilities:
- Designing and building scalable software systems that process and de-identify large healthcare datasets at significant scale
- Developing and executing quality assurance frameworks to validate privacy-preserving workflows
- Deploying and optimizing data processing pipelines within cloud environments to improve reliability, efficiency, and cost-effectiveness
- Collaborating with privacy, compliance, and clinical domain experts to define and implement de-identification requirements
- Continuously improving operational workflows, automation, and processing performance
Requirements:
- 3+ years of professional software development experience using Python or a similar programming language
- Experience across the full software development lifecycle, including design, development, testing, deployment, and maintenance
- Familiarity with SQL and command-line scripting tools such as Bash
- Experience working with data processing and analytics workflows
- Strong analytical thinking and problem-solving capabilities
- Ability to design, optimize, and document operational processes
- Experience managing quality assurance and workflow improvements
- Strong organizational and prioritization skills
- Collaborative mindset with the ability to work cross-functionally
- Passion for data privacy, security, and responsible use of sensitive information
- Experience working with Pandas or similar data processing frameworks
- Cloud platform experience (AWS, Azure, or equivalent)
- Familiarity with containerization and virtualization technologies such as Docker
- Exposure to healthcare, life sciences, or regulated data environments
- Ability to communicate technical concepts effectively to non-technical stakeholders