Full-Stack Data Engineer

Ascension Federal Services

  • Miami, Florida
  • 2 days ago

    Highlights

    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.

    Numbers & Facts

    LocationMiami, Florida
    Websitehttps://ascensionfed.com

    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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