NCIS Sr. Data Engineer

Clearance Level
Secret
Category
Data Science
Location
Quantico, Virginia

REQ#: RQ74508 NCIS Sr. Data Engineer (Open)

Travel Required: None
Public Trust: None
Requisition Type: Regular
Job Description

Join GDIT and be a part of the team of men and women that solve some of the world’s most complex technical challenges. The NCIS program is searching for a Sr. Data Engineer to join their team in Quantico, VA.

The Naval Criminal Investigative Service (NCIS) is an organization of over 2,000 personnel of which 700 serve at HQ and the remaining staff serve at offices worldwide. NCIS is the Department of Navy (DON) component with primary responsibility for criminal investigation, law enforcement (LE), counter-terrorism (CT), counterintelligence (CI), and cyber matters.  NCIS not only has primary responsibility for all criminal investigative, CI, CT, and cyber matters within the DON, but it also has exclusive investigative jurisdiction in non-combat matters involving actual, potential, or suspected criminal, terrorism, sabotage, espionage, and subversive activities. 

NCIS provides the DON with threat status and warnings associated with terrorist, criminal, cyber, and counterintelligence activity throughout the world.  NCIS is the only DON organization that has the information and responsibility to fuse and analyze the national intelligence and law enforcement information necessary to provide these warnings.  

This position will support the NCIS Office of the Command Data Officer (OCDO) and will be responsible for advancing the agency’s mission of investigating and defeating criminal, terrorist, and foreign intelligence threats to the DON – in the maritime domain, ashore, and in cyberspace.  It will promote and improve the quality of the data as they build out the architecture and data models while providing innovative ways to implement mission requirements and sustain clean, accurate data that is accessible both automated to systems/applications and Jupiter platform and implement security as designated to data by governance. The OCDO will also focus on expanding the organization’s data ecosystem to include context-rich data while maintaining the agility needed to spark innovation.

As an integral part of the OCDO, you will perform the following functions: 

Responsibilities

  • Display ability to provide IT expertise for decision makers to build out a new data environment (data hub) and transition the agency to data driven processes.
  • Experience building and having in-depth knowledge in data hubs and various forms of data housing, warehousing, lakes and marts.  
  • Experience with data management process facilitating the handling of data via IT infrastructure - data hub, application, cloud and network resources 
  • Display knowledge and experience of cloud architectures/platforms and integration of data from on-premises to the cloud
  • Experience with data cleansing and management to include improvement to meet operational needs
  • Establish data policies, standards, and procedures that improve data quality, availability, accessibility, security, usability, and enforcement of enterprise information management (EIM) program requirements.
  • Establish enterprise standards – including a uniform and repeatable system development lifecycle methodology for Reference Data and Master Data (e.g., a common set of standards for data naming, abbreviations, and acronyms).
  • Develop a data catalog and dictionaries to help NCIS organize and find data stored in their many systems.  The data catalog shall include information about tables, files, and databases from the NCIS Enterprise Resource Planning (ERP), human resources (HR), finance, capability platforms, and social media feeds. The data catalog must also show where all the data entities are located.
  • Develop a Master Data Management (MDM) Plan that focuses on the technology, tools, and processes ensuring master data is coordinated across the NCIS enterprise. MDM is a method used to define and manage the critical data of an organization to provide, with data integration, a single point of reference. The data that is mastered may include reference data – the set of permissible values, and the analytical data supporting decision making. MDM provides a unified master data service intended to provide accurate, consistent and complete master data across the NCIS enterprise and to business partners.
  • Recommend in the development of improvement/updates to the data environment, implementing schema changes and advise on application and data source updates to keep data accurate and compliant with data governance model
  • Optimize and consolidate business and operational data while augmenting it with data about, and often generated by customers. Expand the data infrastructure to include sensor, device data, and other data sources.
  • Make recommendations to improve the efficiency and effectiveness in how NCIS acquires, stores, manages, shares and applies its data.
  • Engage business users and stakeholders for the increased release of actionable high-quality data on key operational and tactical activities at NCIS.
  • Develop technology solutions to provide the platform, training, and standardized tools enabling querying, data mining, statistical analysis, reporting, scenario modeling, data visualization, and dash-boarding, and processes for a centralized, or analytics as a service model, allowing for the sharing of data across the enterprise from a common hub, facilitates cross-organizational data initiatives due to its enterprise-wide view of data assets and needs.
  • Provide documentation of data engineering activities such as SOPs

Basic Qualifications

  • Required:  Bachelors or masters degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field [or equivalent work experience]
  • Required: Secret security clearance to start; must be able to obtain TS w/SCI
  • Required:  Minimum DoD 8570 IAT Level II
  • Required:  Minimum 10 years or more of work experience in data management disciplines including [data integration, modeling, optimization and data quality], and/or other areas directly relevant to data engineering responsibilities and tasks.
  • Required:  Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as Python, Java, and Scala
  • Knowledge and experience with Machine Learning, AI and data analytics a plus
  • Experience working in a Data Management/CDO office a plus
  • Strong ability to design, build and manage data pipelines for data structures encompassing: Data Transformation, Data Models, Schemas, Metadata, Workload Manageme
  • The ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.
  •  Strong experience with popular database programming languages including SQL and PL/SQL for relational databases
  • Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. Including: ETL/ELT, Data Replication/CDC. Message-orientated data movement, API design and access
  • Strong experience in working with and optimizing existing ETL processes and data integration and data preparation flows and helping to move them in production.
  • Demonstrated success in working with large, heterogeneous datasets to extract business value using popular data preparation tools such as Databricks, Trifacta, Paxata, and Unifi to reduce or even automate parts of the tedious data preparation tasks.
  • Basic experience in working with data governance, data quality, and data security teams, data stewards, and privacy and security officers in moving data pipelines into production with appropriate data quality, governance and security standards and certification.
  • Demonstrated ability to work across multiple deployment environments including cloud, on-premises and hybrid environments, multiple operating systems and through containerization techniques such as Docker, Kubernetes, and AWS Elastic Container Service.
  • Deep law enforcement (LE) information domain knowledge or previous experience working in LE, DOD and/or DON a plus
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.