Full-Stack Software Engineer (Data Pipelines)

Posted 3 days ago

macpower digital assets edgeDenver (CO)

Software Developers Custom Computer Programming Services

SENIORITY

Senior

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About the role

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:bility 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.

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