W2 Only - Data Engineer (Python, React, Hadoop & Cloud)

One of our Fortune 100 clients in Plano, TX is looking for a Full Stack Data Engineer/Developer.

Title: Full Stack Data Engineer / Developer

Location: Plano, TX (Fri Remote)

Hourly: $70 per hour (W2)

Duration: 1 year (Contract-to-Hire)

Stack Experience:

Minimum 5 years of Full Stack expertise in one of the following stacks and comfortable exploring others

• MERN stack: JavaScript - MongoDB - Express - ReactJS - Node.js (Preferred)
• MEAN stack: JavaScript - MongoDB - Express - AngularJS - Node.js
• LAMP stack: JavaScript - Linux - Apache - MySQL PHP
• LEMP stack: JavaScript - Linux - Nginx - MySQL PHP
• Django stack: JavaScript - Python - Django MySQL
• Ruby on Rails: JavaScript - Ruby - SQLite Rails

Must-to-Have:

1. Git URL(Required)
2. Minimum 5 years of experience with Data Modeling in Big Data environment and have worked on massive structured/unstructured datasets before
3. Big Data stack (Hadoop, Hive, Spark, Kafka, Airflow/OOZIE, BigQuery/Presto/Impala etc.)
4. Experience working in AWS/Google Cloud Platform/Azure cloud environments
5. Server programming using NodeJS, Python, PHP, ASP
6. Database programming using SQL, SQLite, Hive/Hadoop, or MongoDB
7. Experienced in APIs and Micro services development and management
8. Proficient in object-oriented language Python/Scala preferred
9. Expert in networking concepts and security protocols
10. Solid understanding of containerized platforms (Docker, Kubernetes)
11. Experience using GIT, JIRA, and Confluence tools

Job Responsibilities

• Design, develop, test, deploy, maintain and enhance our desktop-based data web applications from front-end to back-end.
• Triage product and system issues and debug/resolve by analyzing the source of issues and impact on service operations and quality
• Collaborate with product managers, data engineers, data analysts, and marketing tech vendors to prioritize engineering deadlines and deliverables
• Work with data engineers and data scientists to design and deploy complex data models, fueling the application
• Deploy applications on cloud infrastructure, ensuring scalability, performance, and security
• Integrate application with in-house big data system and third-party marketing systems using APIs and other solutions
• Write clean, efficient, and reusable code and contribute to existing documentation and adapt content based on product/program updates and user feedback
• Stay updated on emerging web application and data modeling technologies and integrate with the product where applicable
• Work with product managers, data scientists, and engineers to understand business goals and data science and marketing tech stack of the company

Core Qualifications:

• Curious, ownership, and outcome mindset with the ability to pivot as per business requirements
• Bachelor s degree in Computer Science, Engineering, or related field
• You have interest to grow your knowledge in the area of Data Science and willing to lend a hand in Machine Learning application development when required
• Comfortable with Agile Principles/Scrum/Kanban
• Experience developing products for marketing and sales teams in Omni-channel organizations, small or large