Why this role stands out
This hybrid role offers a fantastic opportunity to leverage your full-stack data engineering expertise and security clearance to build impactful data solutions within a reputable organization. You'll thrive here if you enjoy designing scalable data pipelines and user-facing applications, collaborating with diverse teams, and contributing to data-driven innovation. Apply today to join a dynamic team and grow your career!
Quick overview
Job description
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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