Job Summary: Develop and maintain features across full-stack Node.js web application supporting global events team. Handle front-end components, back-end APIs, data layer integrations, and scheduled data pipelines. Contract position with high hourly pay.
Essential Functions and Responsibilities:
- Develop and maintain features across full-stack Node.js web application, including front-end components, back-end APIs, and data layer integrations.
- Work with 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 for data preprocessing and ingestion.
- Integrate and work with Jira APIs and data exports to support security risk workflows.
- Use CLI to manage jobs, clusters, and deployments.
- Deploy changes through staging-to-production workflow: build deploy to staging test promote to prod.
- Leverage agentic engineering tools to accelerate development and navigate unfamiliar codebase.
- Collaborate closely with 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.
Knowledge, Skills, and Abilities
Technical Skills:
- Demonstrated experience with full-stack web development using 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.
- Familiarity with CLI-based developer workflows and cloud data platforms.
Functional Skills:
- Ability to ramp up quickly on existing codebase using AI-assisted development tools.
- Experience integrating APIs like Jira for security risk workflows.
- Behavioral Skills:
- Strong communication skills and experience working in collaborative, async-heavy team environments.
Nice to Have:
- Experience with lakehouse or 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.