Senior Data Engineer: Platform & Security

Honeydew; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Honeydew in the United States is seeking a Data Engineer to build a secure, scalable data platform that supports HIPAA-compliant access and governance for patient data. You will design models, migrate workloads, and maintain pipelines while collaborating with the platform team and stakeholders to protect PHI and enable trusted analytics.

Join a data-driven environment where you will contribute to data security improvements, audit logging, and automated data quality processes, ensuring reliable

Qualifications

• Data engineering and architecture — production experience designing relational data models, planning and executing data migrations, and building reliable data pipelines, applying current best practices in schema design, query performance, and data quality; experience with data analytics or warehousing.
• Object-oriented programming language — production experience building backend services and APIs.
• Data security and governance — experience securing sensitive data in production, including access control, encryption, audit logging, and handling of PHI or PII, ideally in a regulated environment.

Responsibilities

• Design and migrate. You’ll identify and plan projects, design data models, and execute migrations.
• Build reliable data access. You’ll create and maintain data pipelines and reporting access for teams.
• Protect and enable. You’ll review code and help with data requests and security reviews.

Skills

Data engineering

Data architecture

Backend development

Data security

PHI/PII governance

Tools

PostgreSQL

DynamoDB

OpenSearch

S3

AWS Lambda

GraphQL

API Gateway

Job description

Honeydew in the United States is seeking a Data Engineer to build a secure, scalable data platform that supports HIPAA-compliant access and governance for patient data. You will design models, migrate workloads, and maintain pipelines while collaborating with the platform team and stakeholders to protect PHI and enable trusted analytics.

Join a data-driven environment where you will contribute to data security improvements, audit logging, and automated data quality processes, ensuring reliable