Data Engineer

ManTech; Miami (FL); On-site; USD 105,000 - 145,000; Full time

Job summary

MANTECH in Doral, FL is seeking a Data Engineer to design, build, and maintain scalable data architectures and processing systems for enterprise data needs.

The role emphasizes developing and optimizing ETL/ELT pipelines, collaborating with data scientists and analysts, and documenting data architectures to ensure reliability and interoperability. A current/active secret security clearance is required.

Qualifications

• 3+ years of data engineering experience with scalable pipelines.
• Proficient in SQL and at least one programming language (Python/Scala/Java).
• Experience with cloud data platforms and orchestration tools.
• Ability to document data architectures clearly.

Responsibilities

• 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.

Skills

SQL

Python

Scala

Java

ETL Pipelines

Data Warehouses

Data Modeling

Education

Bachelor's degree in CS/Data Eng/IT

Master's degree in CS/Data Eng

Associate's degree

High school diploma

Tools

Cloud platforms

Workflow orchestration tools

Job description

MANTECH seeks a motivated, career and customer-oriented 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 3+ years of experience in data engineering.
  • OR a master’s degree and 1+ or more years of relevant experience.
  • OR an associate’s degree and 5+ or more years of relevant experience.
  • OR a high school diploma and 7+ 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.