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Job Overview
MANTECH seeks a motivated, career and customer?oriented Data Engineer to join our Data and AI Practice. The position requires full?time on?site presence in Chantilly and/or Herndon, VA. The ideal candidate will play a critical role in designing, building, and optimizing data pipelines and architecture that support our enterprise?scale data initiatives in an IC customer space. This role demands technical expertise, strategic thinking, and hands?on experience with Oracle?based systems in high?volume environments. Responsibilities Designing, deploying, maintaining and optimizing cloud?based databases and data pipelines Providing support for database management and data governance tasks Ensuring data security and integrity Working closely with cloud infrastructure teams to ensure seamless integration of data services with analytic and data science applications
Minimum Qualifications
Must possess a Bachelor's degree in Engineering, Computer Science, Business or a related field and at least 6 years of experience in data engineering, ETL development, or database management Strong expertise in Oracle Database technologies (e.g., Oracle 19c, Oracle Exadata, Oracle Data Integrator ODI) Proven experience with PL/SQL, Oracle partitioning, and performance tuning Understanding of data modeling, data warehousing concepts, and star/snowflake schemas Knowledge of ETL pipeline design and implementation for large?scale data systems. Experience in shell scripting, Python, or other automation tools Familiarity with Oracle GoldenGate or similar CDC (Change Data Capture) tools Familiarity with data governance, metadata management, and data lineage practices Ability to work with cross?functional teams including data scientists, DBAs, and business analysts Strong verbal and written communication skills for documenting and presenting solutions
Preferred Qualifications
Experience integrating Oracle databases with big data platforms (e.g., Hadoop, Spark, or cloud?based data lakes) Familiarity with Oracle Big Data SQL or Oracle Autonomous Database. Exposure to cloud platforms such as Oracle Cloud Infrastructure (OCI), AWS, or Azure Experience with streaming data architectures (e.g., Apache Kafka, Oracle Stream Analytics) Knowledge of data security best practices and regulatory compliance Experience with DevOps and CI/CD pipelines in a data engineering context Master's degree is preferred. Oracle certifications (e.g., Oracle Certified Professional or Oracle Big Data certification) are a plus
Clearance Requirements
Must possess a TS/SCI security clearance with Polygraph
Physical Requirements
The person in this position must be able to remain in a stationary position 50% of the time Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co?workers, management, and customers, via email, phone, or virtual communication, which may involve delivering presentations
Seniority Level
Mid?Senior level Employment Type
Full?time Job Function
Information Technology Industries
Software Development #J-18808-Ljbffr
MANTECH seeks a motivated, career and customer?oriented Data Engineer to join our Data and AI Practice. The position requires full?time on?site presence in Chantilly and/or Herndon, VA. The ideal candidate will play a critical role in designing, building, and optimizing data pipelines and architecture that support our enterprise?scale data initiatives in an IC customer space. This role demands technical expertise, strategic thinking, and hands?on experience with Oracle?based systems in high?volume environments. Responsibilities Designing, deploying, maintaining and optimizing cloud?based databases and data pipelines Providing support for database management and data governance tasks Ensuring data security and integrity Working closely with cloud infrastructure teams to ensure seamless integration of data services with analytic and data science applications
Minimum Qualifications
Must possess a Bachelor's degree in Engineering, Computer Science, Business or a related field and at least 6 years of experience in data engineering, ETL development, or database management Strong expertise in Oracle Database technologies (e.g., Oracle 19c, Oracle Exadata, Oracle Data Integrator ODI) Proven experience with PL/SQL, Oracle partitioning, and performance tuning Understanding of data modeling, data warehousing concepts, and star/snowflake schemas Knowledge of ETL pipeline design and implementation for large?scale data systems. Experience in shell scripting, Python, or other automation tools Familiarity with Oracle GoldenGate or similar CDC (Change Data Capture) tools Familiarity with data governance, metadata management, and data lineage practices Ability to work with cross?functional teams including data scientists, DBAs, and business analysts Strong verbal and written communication skills for documenting and presenting solutions
Preferred Qualifications
Experience integrating Oracle databases with big data platforms (e.g., Hadoop, Spark, or cloud?based data lakes) Familiarity with Oracle Big Data SQL or Oracle Autonomous Database. Exposure to cloud platforms such as Oracle Cloud Infrastructure (OCI), AWS, or Azure Experience with streaming data architectures (e.g., Apache Kafka, Oracle Stream Analytics) Knowledge of data security best practices and regulatory compliance Experience with DevOps and CI/CD pipelines in a data engineering context Master's degree is preferred. Oracle certifications (e.g., Oracle Certified Professional or Oracle Big Data certification) are a plus
Clearance Requirements
Must possess a TS/SCI security clearance with Polygraph
Physical Requirements
The person in this position must be able to remain in a stationary position 50% of the time Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co?workers, management, and customers, via email, phone, or virtual communication, which may involve delivering presentations
Seniority Level
Mid?Senior level Employment Type
Full?time Job Function
Information Technology Industries
Software Development #J-18808-Ljbffr