Data Engineer

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Data Engineer at ManTech summary: The Data Engineer at ManTech is responsible for designing, implementing, and optimizing enterprise-wide, cloud-based data pipelines and storage solutions to support analytics and machine learning for government clients. The role involves collaboration with cloud architects and data consumers to ensure secure, efficient data integration and compliance with data security policies. The position requires expertise in cloud services, data warehousing, big data technologies, programming, and maintaining data governance within a secure environment.
ManTech seeks a motivated, career and customer-oriented Data Engineer to join our Data and AI Practice onsite in Chantilly and/or Herndon, VA. You will be a part of a dynamic, cross-functional team focused on transforming how Government clients extract insights from data to achieve critical mission objectives.  You will be providing support in the analysis, design, implementation, and optimization of complex, enterprise-wide, cloud-based data migration solutions that align with mission goals and requirements.
Responsibilities include but are not limited to:
Design and implement robust data pipelines to ingest, transform, and integrate data from various systems and networks, ensuring seamless data flow. Collaborate with cloud and system architects to establish secure and efficient data transfer protocols among different networks and systems. Work with data consumers to develop data requirements to support analytics and machine learning tasks. Implement data pipelines and data storage solutions to support analytic workflows. Optimize data pipelines and storage solutions for performance, ensuring low latency and high throughput for real-time and batch data processing. Implement robust security measures to protect sensitive data and ensure compliance with relevant data security policies and practices.
Minimum Qualifications: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field and at least 7 years of experience in data engineering, data architecture, or related roles. Additional equivalent experience may be considered in lieu of degree Experience with cloud services from providers such as Oracle and their data storage and database services Experience with data replication and change data capture tools such as Oracle GoldenGate Experience with data warehousing, data lakes, and big data technologies Proficiency in programming languages such as Python, Java, or SQL Experience with SQL and NoSQL databases
Preferred Qualifications: Master’s degree in Computer Science, Information Technology, Engineering, or a related field. Familiarity with data security and compliance frameworks (e.g., NIST framework). Cloud certifications such as AWS Certified Developer, Oracle Cloud Infrastructure. Familiarity with records management policies and procedure. Familiarity with big data technologies like Hadoop, Spark, and Kafka. Knowledge of data governance and metadata management.
Clearance Requirements: Must possess a current and active TS/SCI with polygraph
Physical Requirements: Must be able to be in a stationary position more than 50% of the time Must be able to communicate, converse, and exchange information with peers and senior personnel Constantly operates a computer and other office productivity machinery, such as a computer The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
Keywords: Data Engineering, Cloud Computing, Data Pipelines, Big Data, Data Warehousing, Data Security, Oracle GoldenGate, Python, SQL, Machine Learning Support
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Location:
Chantilly

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