Data Engineer

General information

Requisition # R62783 Locations USA-VA-Chantilly Posting Date 08/20/2025 Security Clearance Required TS/SCI w/ Poly Remote Type Onsite Time Type Full time

Description & Requirements

Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now—be extraordinary at MANTECH!

***This is for a future opportunity***

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)
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