NCIS Data Engineer | Active Secret clearance

Type of

Requisition :
Regular Clearance Level Must Currently Possess:
Secret Clearance Level Must Be Able to Obtain:
Top Secret/SCI Public Trust/Other

Required:

None Job Family:
Data Science and Data Engineering

Job Qualifications:

Skills:

Database Integration, Data Management, ETL Pipelines, ETL Processing

Certifications:

None

Experience:

10 + years of related experience US Citizenship

Required:

Yes

Job Description:

Transform technology into opportunity as a Data Engineer pe what’s next for mission-critical government projects while shaping what’s next for your engineering career. The Naval Criminal Investigative Service (NCIS) is an organization of approximately 2,000 personnel of which 700 serve at HQ and the remaining staff serve at offices worldwide. NCIS is the 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.

MEANINGFUL WORK AND PERSONAL IMPACT As a Data Engineer, the work you’ll do at GDIT will be impactful to the mission of the IT Technology Operations division within the NCIS ITD organization in Quantico, VA:
This position 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 design and build a data hub that collects, stores, aggregates, and process raw data, to include law enforcement data into clean, usable formats for analysis, data visualization, and Machine Learning.

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, DON Jupiter platform and implement security as designated to data by governance. It will focus on expanding the organization’s data ecosystem to include context-rich data while maintaining the agility needed to spark innovation.

Strong ability to design, build, and manage scalable end-to-end data pipelines for data structures, encompassing:

• Data Transformation
• Data Models
• Schemas
• Metadata
• Workload Management

Strong experience working with large, heterogenous datasets in building and optimizing data pipelines, pipeline architectures, and integrated datasets using traditional data integration technologies. 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. Identify data generators/sources, develop a data acquisition and integration strategy, develop and implement best practice for data governance, data quality, data storage, and data usage in analytics and business intelligence.

Experience building and having in-depth knowledge in data hubs and various forms of data housing, warehousing, lakes and marts. Experience with data management processes 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 enterprise standards – including a uniform and repeatable system development lifecycle methodology for Reference Data and Master Data…