honeydew - Senior Software Engineer - Data
Requirements
• The Non-Negotiables: • 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 • The Nice-to-Haves: • Experience in healthcare setting, or another heavily regulated domain • Experience building and using custom agents[MISSING — hiring manager to provide] • Experience with Typescript, AWS, serverless functions, PostgreSQL, Databricks • YOU'LL THRIVE HERE IF… • You make a plan and execute to that plan and timeline. • You identify and report timeline issues early. • You identify and champion opportunities to improve the ecosystem you work in. You deliver on the date you commit to, without cutting quality • You keep up with current best practices, including AI-assisted engineering. • You give direct, useful feedback in code review. • You request and give help when needed. • You're glad to help another team with a data or security request • You write things down so the next engineer can rely on them. • Languages: TypeScript, Python, SQL • Frontend: React, Redux Toolkit, Material UI, Tailwind CSS, Vite, Next.js • Backend: Node.js on AWS Lambda, GraphQL (AWS AppSync, Apollo), REST (API Gateway), event-driven architecture (EventBridge, SQS, SNS), authentication (Cognito) • Data: PostgreSQL (RDS), DynamoDB, OpenSearch, S3 • Infrastructure: AWS (multi-account, Control Tower, CloudFormation, IAM, SSM, CloudWatch, CloudTrail), Terraform, Serverless Framework, Docker, LocalStack, Git, CI/CD on Bitbucket Pipelines and GitHub Actions • Analytics: Databricks, dbt, Amplitude • AI: OpenAI and Anthropic APIs, Cursor • Testing: Vitest, Jest, Playwright
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