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

- **Company:** Humac, Inc.
- **Location:** Phoenix, AZ, United States
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Application Performance Management, User Authentication, Big Data, BigQuery, Cloud Computing, Continuous Integration, Data as a Services, Information Engineering, Data Integration, Data Transformation, Data Security, Database Queries, DevOps, Cloud Services, SQL Databases, Web Applications, Data Ingestion, Spring Cloud, ReactJS, Backend, Event Driven Architecture, Data Lakes, AngularJS, Kubernetes, Data Analytics, Google Bigquery, Data Management, Front End Software Development, Api Design, Devsecops, Api Management
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/89a05dba-632d-4ae1-abe8-ba5a38e57468

## About the Role

* 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.

## Description

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., * 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.