NCIS Data Engineer | Active Secret clearance

Clearance Level Must Currently Possess:

Clearance Level Must Be Able to Obtain:

Job Family:

• Experience with Databricks, Snowflake, Apache Kafka, Airflow, Spark, ETL Tools

• Experience with DON Jupiter

Job Description:

Transform technology into opportunity as a Data Engineer at GDIT. Shape 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), counterterrorism (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. 

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, data schemas, metadata and 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 (e.g., a common set of standards for data naming, abbreviations, and acronyms).

• 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.

• Establish data policies, standards, and procedures that improve data quality, availability, accessibility, security, usability, and enforcement of enterprise information management (EIM) program requirements.

Bring your development expertise along with a drive for innovation to GDIT. Our Data Engineer must have:

Work Location:

Additional Work Locations:

gdit.com/tc.