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 data migration 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 to ingest, transform, and integrate data from various systems and networks, ensuring seamless data flow.
-
Collaborate with cloud and system architects to establish secure and efficient data transfer protocols among different networks and systems.
-
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.
-
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 with data replication and change data capture tools such as Oracle GoldenGate
-
Experience with cloud services from providers such as Oracle and their data storage and database services
-
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
-
Proficiency in programming languages such as Python, Java, or SQL. 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.