Job Description

ManTech seeks a motivated, career and customer-oriented Lead Data Engineer to join our Data and AI Practice onsite in Chantilly and/or Herndon, VA. You will be a part of a dynamic, cross-functional team focused on transforming how Government clients extract insights from data to achieve critical mission objectives. This leadership role involves guiding a team and collaborating with others to implement this transformative process. You will be responsible for providing expert guidance and support in the analysis, design, implementation, and optimization of complex, enterprise-wide, cloud-based database solutions that align with mission goals and requirements.

Responsibilities include but are not limited to:

• Lead the design, development, and deployment of robust data pipelines and data storage solutions to integrate data from various systems and networks, ensuring seamless data migration
• Collaborate with cloud and system architects to design databases to meet customer needs.
• Work with data consumers to develop data requirements to support analytics and machine learning tasks.
• Implement data pipelines and data storage solutions to support analytic workflows.
• Optimize data pipelines and storage solutions for performance, ensuring low latency and high throughput for real-time and batch data processing.
• Provisioning and managing database instances, setting up replication and high availability, and monitoring database performance
• Implement robust security measures to protect sensitive data and ensure compliance with relevant data security policies and practices.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field and at least 10 years of experience in data engineering, data architecture, or related roles
• Experience in database services from cloud services providers such as Oracle
• Demonstrated ability to lead and manage a team of engineers
• Direct line management experience, including project, people, customer, and financial management
• Experience with data warehousing, data lakes, and big data technologies
• Experience with SQL and NoSQL databases

Preferred Qualifications:

• Master’s degree in Computer Science, Information Technology, Engineering, or a related field
• Familiarity with data security and compliance frameworks (e.g., NIST framework)
• Cloud certifications such as AWS Certified Developer, Oracle Cloud Infrastructure

• Familiarity with records management policies and procedure
• Familiarity with big data technologies like Hadoop, Spark, and Kafka
• Knowledge of data governance and metadata management

Clearance Requirements:

• Must possess a current and active TS/SCI with polygraph

Physical Requirements:

• Must be able to be in a stationary position more than 50% of the time 
• Must be able to communicate, converse, and exchange information with peers and senior personnel 
• Constantly operates a computer and other office productivity machinery, such as a computer 
• The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations 

• The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

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