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MD

Full-Stack Software Engineer (Data Pipelines)

Macpower Digital Assets Edge Private Limited
🇺🇸 United States
Remote
5 days ago
$117.64 – $169.48 / hour
  • Node.js
  • SQL
  • Python
  • Jira
  • AI
  • Risk Management
5 days ago
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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.

Full-Stack Software Engineer (Data Pipelines) · Macpower Digital Assets Edge Private Limited

Auto apply with Likeremote