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# JAVA Full Stack Developer

- **Company:** ConnectedX, Inc.
- **Location:** Plano, TX, United States
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, Code Review, Databases, Information Engineering, Extract Transform Load (ETL), Data Visualization, DevOps, Apache Hadoop, Hibernate (Java), Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, NumPy, Scrum Methodology, Power BI, Cloud Services, Tensorflow, SciPy, SQLAlchemy, Tableau (Software), Data Processing, Real Time Systems, Pytorch, ReactJS, Apache Spark, Spring-boot, Electronic Medical Records, Backend, Vue.js, Pandas, Amazon Relational Database Service, Containerization, AngularJS, Gitlab-ci, Scikit Learn, Kubernetes, Information Technology, Luigi, Data Analytics, Apache Kafka, Graphql, Machine Learning Operations, Front End Software Development, Functional Programming, Restful APIs, Terraform, Data Pipelines, Docker, Jenkins, Microservices
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/3968a5e3-df23-4504-b19c-3b9ebf0d22a0

## About the Role

· Bachelor's/Master's degree in Computer Science, Engineering, or related field.

· 12+ years of hands-on experience in Java full stack development, with 2+ years leading teams.

· Advanced proficiency in Java/Spring Boot for backend development and Python for data engineering (must have strong experience with data libraries and frameworks).

· Expertise in full stack technologies: React.js/Angular/Vue.js (frontend), REST/GraphQL APIs, and data tools (Kafka, Spark, Hadoop).

· Proven track record in building data pipelines and analytics solutions using Python (Pandas, NumPy, SciPy, SQLAlchemy).

· Strong experience with cloud services (AWS preferred: EC2, Lambda, S3, EMR) and DevOps tools (Docker, Kubernetes, Terraform).

Excellent leadership skills with experience mentoring teams and delivering projects in Agile environments

## Description

Experienced Java Full Stack Developer with deep expertise in data engineering and Python to spearhead the development of scalable, data-intensive applications for our innovative enterprise platform. In this leadership role, Consultant will architect end-to-end solutions that integrate robust Java backend services with modern frontend technologies, while leveraging Python for advanced data processing, analytics, and machine learning pipelines., · Lead the design, development, and deployment of full stack applications using Java (Spring Boot, Hibernate) as the core backend framework, integrated with Python for data-intensive tasks like ETL processes, data modeling, and predictive analytics.

· Architect scalable microservices and RESTful APIs that handle large-scale data streams, utilizing tools like Apache Kafka, Spark, and Python libraries (Pandas, NumPy, Scikit-learn) for real-time processing and insights.

· Develop responsive frontend interfaces with React.js/Angular, ensuring seamless integration with Java/Python backends and data visualization tools like Tableau or Power BI.

· Collaborate with data scientists and stakeholders to build Python-based data pipelines (using Airflow, Luigi) that feed into Java-centric full stack ecosystems, optimizing for performance and reliability.

· Mentor junior developers, conduct code reviews, and enforce CI/CD pipelines (Jenkins, GitLab CI) while championing Agile/Scrum methodologies.

· Troubleshoot and optimize complex systems involving databases (PostgreSQL, MongoDB, AWS RDS), cloud platforms (AWS/Azure), and containerization (Docker, Kubernetes).

· Drive innovation in data-driven features, such as AI/ML model integration via Python (TensorFlow, PyTorch) into Java full stack applications.