Full-Stack Data Engineer

Ascension
Miami, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Miami, United States of America

Tech stack

Java
Amazon Web Services (AWS)
Azure
Big Data
Cloud Computing
Databases
Data Architecture
Data Validation
Information Engineering
Data Integrity
ETL
Data Systems
Data Visualization
Decision Support Systems
Hadoop
Python
NoSQL
Standard Sql
Visual Analytics
React
Spark
Backend
Vue.js
Containerization
Angular
Information Technology
Kafka
Data Management
Front End Software Development
Data Pipelines
Docker

Requirements

Full-Stack Data Engineer Location: Miami, FL, 33101 CLEARANCE: TS/SCI About the Role We are seeking a highly skilled Full-Stack Data Engineer to join our dynamic team in Miami, FL. The ideal candidate will have a strong background in both backend and frontend data engineering, capable of designing, building, and maintaining scalable data pipelines and user-facing data applications. You will work closely with data scientists, analysts, and product teams to deliver robust data solutions that drive business insights and innovation. Key Responsibilities * Design, develop, and maintain end-to-end data pipelines and ETL processes. * Build and optimize scalable data architectures and databases. * Develop interactive data visualization tools and dashboards to support data-driven decision making. * Collaborate with cross-functional teams to understand data requirements and deliver solutions. * Implement data quality checks, monitoring, and troubleshooting to ensure data integrity. * Work with cloud platforms and big data technologies to manage large datasets efficiently. * Write clean, maintainable, and well-documented code following best practices. Qualifications * Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. * 3+ years of experience in data engineering or full-stack development with a focus on data. * Proficiency in programming languages such as Python, Java, or Scala. * Experience with frontend technologies like React, Angular, or Vue.js for building data applications. * Strong knowledge of SQL and NoSQL databases. * Hands-on experience with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop, Kafka). * Familiarity with containerization and orchestration tools such as Docker and Kubernetes. * Excellent problem-solving skills and ability to work in a fast-paced environment. * Strong communication skills and ability to collaborate effectively with diverse teams. How to Apply If you are passionate about data engineering and want to make an impact in a growing company, please submit your resume and cover letter to our HR team. ```

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