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.