SECURE OUR NATION, IGNITE YOUR FUTURE

Can you protect and defend the most coveted targets in the world and ensure the safety of information systems assets and protect systems from intentional or inadvertent access or destruction? Join ManTech and help protect our national security while working on innovative projects that offer opportunities for advancement. We encourage our team members to share and grow their skills and expertise while creating robust and state-of-the-art solutions.
ManTech is seeking a motivated, mission-oriented Data Engineer in McLean, VA. As a Data Engineer on our team, you will be supporting a dynamic cybersecurity team through the development of data centric solutions and architecture. You will design, build, and optimize systems for data collection, storage, access, and analytics at scale. You’ll be responsible for creating data pipelines used by data scientists, data-centric applications, and other data consumers. This is a highly technical position, requiring experience and skills in areas such as programming, mathematics, and computer science. If this describes you, your interests and career pursuits, come join our dynamic team!

SECURITY CLEARANCE REQUIREMENTS:

• Active/Current 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.
  

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Required Qualifications:

• 2+ years of relevant work experience in data science or data engineering in big data environments.
• 2+ years of experience in data mining and data-set preparation using SQL
• 2+ years of experience using data visualization software, such as, Tableau Desktop or Power BI.
• Experience with data modeling, data warehousing, and building ETL pipelines.
• Active/Current TS/SCI with polygraph clearanc

Desired Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Mathematics or related technical field of study.
• 3+ years of experience in a data engineer or developer role with a technology company.
• Experience working in large data warehouse environments.
• Experience conducting large scale and complex data analysis to support data centric architecture
• Experience using Python, R, Java, JavaScript, AngularJS, .NET, Hadoop, and Apache or related technologies & tools
• Strong verbal and written communication and data presentation skills, including an ability to effectively communicate with both business and technical team, and senior management as required

• Assembling large, complex sets of data that meet non-functional and functional business requirements.
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies.
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
• Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues.
• Establish advanced analysis and data visualization methodologies, models, and tools to derive/predict intelligence outcomes and impacts.
• Implement data validation and cleaning techniques to find and fix or remove inaccurate and irrelevant data.
• Develop and maintain a data warehouse populated with data from numerous sources and with varied formats.
• Build, test, and maintain database pipeline architectures.
• Identify ways to improve data reliability, efficiency, and quality.
• Data pipeline and warehouse performance measurement and optimization.
• Prepare data for predictive and prescriptive modeling in close partnership with in-house data science team.
• Deliver updates to stakeholders based on analytics.
• Ensure compliance with customer’s data governance and security policies.
• Design, develop and maintain scaled, automated, user-friendly systems that will support the needs of the business.
• Be hands-on with ETL to build data pipeline to support automated reporting.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

Required Qualifications:

• 2+ years of relevant work experience in data science or data engineering in big data environments.
• 2+ years of experience in data mining and data-set preparation using SQL
• 2+ years of experience using data visualization software, such as, Tableau Desktop or Power BI.
• Experience with data modeling, data warehousing, and building ETL pipelines.
• Active/Current TS/SCI with polygraph clearance

Desired Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Mathematics or related technical field of study.
• 3+ years of experience in a data engineer or developer role with a technology company.
• Experience working in large data warehouse environments.
• Experience conducting large scale and complex data analysis to support data centric architecture
• Experience using Python, R, Java, JavaScript, AngularJS, .NET, Hadoop, and Apache or related technologies & tools
• Strong verbal and written communication and data presentation skills, including an ability to effectively communicate with both business and technical team, and senior management as required.