Senior Data Engineer

ManTech

Miami (FL)

Presencial

USD 120.000 - 150.000

Jornada completa

Hace 10 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

ManTech in Doral, FL seeks a motivated Senior Data Engineer to design, build and maintain scalable data architectures and ETL pipelines. You will collaborate with data scientists and analysts to optimize data flows and ensure data quality while documenting architectures.

A current/active secret security clearance is required, and you will work with cloud platforms and modern data tools to support mission-critical enterprise data environments.

Formación

  • 5+ years of data engineering experience with scalable data pipelines.
  • Strong SQL and programming in Python/Scala/Java.
  • Experience with cloud platforms and workflow orchestration.

Responsabilidades

  • Design, construct, test, and maintain scalable data architectures and processing systems.
  • Develop and optimize automated ETL/ELT pipelines to ingest, transform, and load data sources.
  • Collaborate with data scientists and analysts to define data interoperability standards.
  • Conduct performance tuning, data validation, and troubleshooting across complex databases.
  • Maintain data baselines, configuration management controls, and technical documentation.
  • Recommending and implementing process improvements to enhance system reliability and data quality.

Conocimientos

SQL
Python
Scala
Java
Data pipelines
Data warehouses

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

AWS
Azure
Databricks
Airflow

Descripción del empleo

MANTECH seeks a motivated, career and customer-oriented Senior Data Engineer to join our team in Doral, FL.

Responsibilities Include But Are Not Limited To
  • Designing, constructing, testing, and maintaining scalable data architectures and processing systems.
  • Developing and optimizing automated ETL/ELT pipelines to ingest, transform, and load enterprise data sources.
  • Collaborating with cross-functional technical teams, data scientists, and analysts to define data interoperability standards.
  • Conducting performance tuning, data validation, and troubleshooting across complex database environments.
  • Maintaining data baselines, configuration management controls, and comprehensive technical documentation.
  • Recommending and implementing process improvements to enhance system reliability, data quality, and scalability.
Minimum Qualifications
  • Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field with 5+ years of experience in data engineering.
    • OR a master’s degree and 3+ or more years of relevant experience
    • OR an associate’s degree and 7+ or more years of relevant experience
    • OR a high school diploma and 9+ or more years of relevant experience
  • Proven experience building and managing scalable data pipelines, data warehouses, and relational databases. Strong proficiency in writing complex SQL queries and programming languages such as Python, Scala, or Java.
  • Hands-on experience with cloud data platforms, database engineering, and automated workflow orchestration tools. Experience creating, maintaining, and communicating complex technical documentation and data architectures.
Preferred Qualifications
  • Relevant industry certifications such as AWS Certified Data Engineer, Azure Data Engineer Associate, or Databricks Certified Data Engineer.
  • Prior experience supporting U.S. Military Command operations or Department of Defense enterprise data environments.
  • Familiarity with real-time streaming architectures, data governance frameworks, and containerization technologies.
  • Demonstrated ability to collaborate across multi-disciplinary technical teams to drive data platform improvements.
Clearance Requirements
  • Must hold a current/active secret security clearance.
Physical Requirements
  • Must be able to remain in a stationary position 50%.
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.
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