Full Stack Engineer - Data & Analytics-W2 -Any visa
Humac, Inc.
Phoenix, AZ, United States
3 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
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
+20 more
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
Job 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.
Requirements
- 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.
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