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# Data Engineer

- **Company:** Mantech International Corporation
- **Location:** Herndon, VA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Big Data, System Configuration, Extract Transform Load (ETL), Data Retrieval, Data Structures, Data Systems, Distributed Systems, Fault Tolerance, Apache Hadoop, Apache Hive, MongoDB, NoSQL, Standard Sql, Software Engineering, SQL Databases, UML, Data Ingestion, Apache Spark, Core Api, Git, SC Clearance, Information Technology, Cassandra, Data Analytics, Apache Kafka, Data Management, Data Pipelines
- **Published:** September 21, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3398933924&tx=UT5854THV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering.
 * Verifiable work experience working with data structures, database management, distributed computing, and API driven architectures.
 * Experience with Agile Development and Git Operations.
 * Experience creating, maintaining, and communicating complex technical documentation for data systems., * Certified Data Management Professional (CDMP) certification.
 * Proficiency in modeling frameworks like Universal Modeling Language (UML).
 * Experience with the Sponsor's primary cyber risk and compliance automation tools.

?? Clearance Requirements:

 * An active Secret clearance is required with the ability to obtain and maintain TS/SCI

Physical Requirements:

 * Must be able to remain in a stationary position 50%.
 * Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
 * Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
 * Must be able to exchange accurate information in these situations.

## Description

* Developing, maintaining, and testing data pipelines to transform data from various structured and unstructured data sources.
 * Developing complex queries to ensure accessibility while optimizing the performance of SQL and NoSQL for big data infrastructure.
 * Creating and maintaining optimal data pipeline architecture to support extraction, transformation, and loading (ETL) of data from a wide variety of sources.
 * Extracting data from multiple sources, including relational SQL and NoSQL databases and platform APIs, for data ingestion and integration.
 * Configuring and managing data analytic frameworks using tools such as MongoDB, Cassandra, Spark, Hadoop, Kafka, and Hive.
 * Applying distributed systems concepts and principles including consistency, availability, durability, reliability, and fault-tolerance.
 * Coordinating with stakeholders and design teams to assist with data-related technical issues and support infrastructure needs.


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