ManTech
MANTECH
seeks a motivated, career and customer-oriented
Data Engineer
to join our Data and AI Practice. This 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. If you thrive in a fast-paced, data-driven organization and enjoy solving complex data engineering challenges, we want to hear from you.
Responsibilities include but are not limited to:
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, and or virtual communication, which may involve delivering presentations.
ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
If you are a qualified individual with a disability and require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please email us at careers@mantech.com and provide your name and contact information.
seeks a motivated, career and customer-oriented
Data Engineer
to join our Data and AI Practice. This 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. If you thrive in a fast-paced, data-driven organization and enjoy solving complex data engineering challenges, we want to hear from you.
Responsibilities include but are not limited to:
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, and or virtual communication, which may involve delivering presentations.
ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
If you are a qualified individual with a disability and require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please email us at careers@mantech.com and provide your name and contact information.