Senior Software Engineer - Data

Honeydew

3d

About The Position

Honeydew is hiring a Senior Software Engineer for its Platform team, which provides trusted data to feature teams and business stakeholders. The role focuses on improving the security, reliability, and accuracy of the company’s data platform, including its data layer and safeguards for patient data in a HIPAA environment. The engineer will work with the engineering manager to plan projects, design data models, and execute migrations using agentic engineering methods. They will build and maintain data pipelines and reporting access, review data-related code, and partner with other teams on data needs and security reviews.

During the first six months, the role is expected to establish monitoring for query performance, data quality, and capacity, and resolve the top five issues identified. It will also deliver at least two data security or governance improvements by day 60, with examples including audit-log coverage for PHI access, tighter data-store access controls, or automated detection of sensitive data in non-production environments. By day 180, the engineer will document a schema-change and data-quality process for feature teams to follow, while avoiding production incidents caused by data-layer changes in supported areas.

Honeydew builds a digitally native dermatology platform that connects people with licensed specialists, FDA-approved treatments, and ongoing support. Its stated mission is to ensure that no one suffers from a treatable skin disease because of an access issue.

Requirements

• Production experience designing relational data models, planning and executing data migrations, and building reliable data pipelines.
• Experience applying current best practices in schema design, query performance, and data quality.
• Experience with data analytics or warehousing.
• Production experience building backend services and APIs in an object-oriented programming language.
• Experience securing sensitive production data, including access control, encryption, audit logging, and handling PHI or PII; ideally in a regulated environment.
• Ability to plan and execute work to a timeline, identify timeline issues early, and deliver committed work without cutting quality.
• Ability to identify and champion opportunities to improve the ecosystem.
• Keep up with current best practices, including AI-assisted engineering.
• Give direct, useful feedback in code review; request and give help when needed; and assist other teams with data or security requests.

Nice To Haves

• Experience in healthcare or another heavily regulated domain.
• Experience building and using custom agents.
• Experience with TypeScript, AWS, serverless functions, PostgreSQL, or Databricks.

Responsibilities

• Work with the engineering manager to identify and plan projects, design data models, and execute migrations using agentic engineering methods.
• Build and maintain data pipelines and reporting access so feature teams and business stakeholders can access trusted data without filing a request.
• Improve the security, reliability, and accuracy of the data layer.
• Establish monitoring for query performance, data quality, and capacity, and resolve the top five issues surfaced.
• Deliver data security or governance improvements, such as audit-log coverage for PHI access, tighter data-store access controls, or automated detection of sensitive data in non-production environments.
• Document a schema-change and data-quality process for feature teams to follow.
• Review and test teammates’ work, especially data-related changes, and provide useful code-review feedback.
• Help other teams with data requests and security reviews.
• Write documentation that other engineers can rely on.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed