HUMAC INC.
HUMAC INC.

Full Stack Engineer – Data & Analytics-W2 -Any visa

Phoenix, AZ, US • Posted 1 hour ago • Updated 1 hour ago
Contract Independent
Contract W2
12 Months
Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • API
  • API Management
  • Analytics
  • AngularJS
  • Authentication
  • Authorization
  • Backend Development
  • Cloud Computing
  • Continuous Delivery
  • Continuous Integration
  • Data Analysis
  • Data Engineering
  • Data Integration
  • Data Lake
  • DevOps
  • DevSecOps
  • Encryption
  • Kubernetes
  • Mentorship
  • Microsoft Exchange
  • Onboarding
  • React.js
  • SQL
  • Technical Drafting
  • Web Applications

Summary

Job Title: Full Stack Engineer – Data & Analytics-w2 -Any Visa

Location: Phoenix, AZ-Locals 

Position Summary

We are seeking an experienced Full Stack Engineer to design, develop, and support enterprise-scale data platforms and APIs. The ideal candidate will have strong backend development skills, modern frontend experience, cloud-native architecture, data integration, and API management expertise.

Key Responsibilities

  • Design and develop enterprise-grade APIs, event-driven integrations, and data services.

  • Build and maintain cloud-native applications deployed on Kubernetes.

  • Develop modern web applications using React (preferred) and/or Angular.

  • Implement secure data exchange using encryption, authentication, and authorization.

  • Develop enterprise integrations using APIs, file-based exchanges, and cloud data platforms.

  • Work with data engineering teams to support large-scale enterprise datasets.

  • Lead technical design reviews and architecture discussions.

  • Troubleshoot production issues and optimize application performance.

  • Implement CI/CD pipelines and DevSecOps best practices.

  • Mentor engineers and establish development standards.

  • Support consumer onboarding to enterprise APIs and data products.

Required Skills – Data Engineering & Analytics

  • Experience working with large-scale datasets.

  • Strong SQL skills.

  • Hands-on experience with Google BigQuery.

  • Knowledge of Data Lake architectures.

  • Experience with data ingestion frameworks.

  • Experience developing and supporting data transformation pipelines.

Technical Requirements

  • Backend: Enterprise API development and event-driven architecture.

  • Frontend: React (preferred) or Angular.

  • Cloud & Containers: Cloud-native applications and Kubernetes.

  • Data & Analytics: SQL, BigQuery, Data Lakes, Data Ingestion, and Data Transformation.

  • DevOps: CI/CD and DevSecOps practices.

  • Security: Encryption, authentication, and authorization.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10202300
  • Position Id: 9141237
  • Posted 1 hour ago
Contact the job poster
Sirisha Nellipudi

Sirisha Nellipudi

Recruiter @ HUMAC INC.

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