JOB DESCRIPTION

Responsibilities: 

• Develop and maintain features across a full-stack Node.js web application, including front-end components, back-end APIs, and data layer integrations
• Work with Databricks tables and write SQL queries to support data retrieval, transformation, and reporting needs
• Build, maintain, and debug Python-based data pipelines running as scheduled jobs (daily/weekly) for data preprocessing and ingestion
• Integrate and work with Jira APIs and data exports to support security risk workflows
• Use the Databricks CLI to manage jobs, clusters, and deployments
• Deploy changes through a staging-to-production workflow: build → deploy to staging → test → promote to prod
• Leverage agentic engineering tools (Cursor, Claude Code) to accelerate development and navigate an unfamiliar codebase
• Collaborate closely with the team via Slack and participate in regular syncs, code reviews, and prioritization discussions
• Contribute to reducing technical debt in existing data pipelines while supporting new feature development

TECHNICAL SKILLS

Must Have:

Demonstrated experience with full-stack web development (Node.js or equivalent back-end frameworks). Comfort working with SQL and data-heavy applications; ability to read, write, and debug queries against large structured datasets. Experience with Python scripting or notebook-based data workflows. Ability to ramp up quickly on an existing codebase using AI-assisted development tools. Familiarity with CLI-based developer workflows and cloud data platforms. Strong communication skills and experience working in collaborative, async-heavy team environments.

Nice To Have:

Experience with Databricks or similar lakehouse/data warehouse platforms. Familiarity with Jira's data model or API. Background in security, GRC, or risk management domains. High proficiency with AI engineering workflows (Cursor, Claude Code, Copilot, etc.)