Senior Data Engineer

MANTECH; Miami (FL); On-site; USD 120,000 - 165,000; Full time

Job summary

MANTECH in Doral, FL seeks a Senior Data Engineer to design, build, and optimize scalable data architectures and ETL/ELT pipelines. You will collaborate with data scientists and analysts to ensure data interoperability, perform tuning and validation, and maintain thorough documentation.

A strong background in SQL and Python/Scala/Java is required, with cloud experience and security clearances preferred. The role emphasizes reliability, data quality, and scalable data systems to support

Qualifications

• Requires a degree with 5+ years in data engineering or advanced combinations as listed.
• Proven experience building scalable data pipelines, warehouses, and relational DBs; strong SQL and programming in Python/Scala/Java.
• Hands-on with cloud data platforms, orchestration tools, and solid documentation of data architectures.

Responsibilities

• Design, build, test, and maintain scalable data architectures and processing systems.
• Develop and optimize automated ETL/ELT pipelines to ingest, transform, and load data.
• Collaborate with cross-functional teams to define data interoperability standards.
• Perform performance tuning, data validation, and troubleshooting across databases.
• Maintain data baselines, configuration controls, and comprehensive technical documentation.
• Recommend and implement enhancements for reliability, quality, and scalability.

Skills

SQL

Python

Scala

Java

Data Warehousing

ETL/ELT

Data Pipelines

Cloud Platforms

Documentation

Education

Bachelor's degree in CS/IT/related

Master's degree (related field)

Associate degree (related field)

High school diploma

Tools

AWS Data Engineer

Azure Data Engineer

Databricks Certified Data Engineer

Job description

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.