Senior Data Engineer

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

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.