Full-Stack Data Engineer
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.