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Data Engineer - IoT BigData Jobs

Data Engineer

Data Engineer

McLean, VA 2016-10-28 - –

vencore_ Vencore

Vencore is a proven provider of information solutions, engineering and analytics for the U.S. Government. With more than 40 years of experience working in the defense, civilian and intelligence communities, Vencore designs, develops and delivers high impact, mission-critical services and solutions to overcome its customers most complex problems.

Headquartered in Chantilly, Virginia, Vencore employs 3,800 engineers, analysts, IT specialists and other professionals who strive to be the best at everything they do.

Vencore is an AA/EEO Employer – Minorities/Women/Veterans/Disabled

The Data Engineer will work with a team supporting a wide range of activities, including information systems development, integration of scalable solutions using various platforms, and architecting automated and scalable data process monitoring processes.


•Bachelor’s degree in computer science, IT or equivalent technical discipline, or approximately 3-5 years’ work experience in relevant focus areas.

•Approximately five years of experience in information systems development, focused on processing large volume, near-real time data feeds to meet data analytics and security requirements.

•Demonstrated experience as a SME to prioritize and meet tactical and strategic requirements for frameworks and systems to process data.

•Demonstrated experience in information systems development across the IT lifecycle, with a focus on systems to perform high volume and velocity data processing on disparate data types/formats.

•Over two years demonstrated experience with delivering integrated and scalable solutions using the LexisNexis, ECL, and Pentaho platforms.

•Demonstrated experience with identifying and delivering new, integrated and scalable solutions using current large-scale open-source and GOTS solutions for processing, storing and enabling analytics from high volume and velocity data collections ) on datastores and comprised of billions of records.

•Demonstrated experience architecting and delivering automated and scalable data process monitoring and data quality systems and processes.


•Demonstrated expertise delivering solutions to address user requirements and enrich analytic models using common industry tools to perform natural language processing, entity extraction, and data aggregation on human and machine generated data.

•Demonstrated work experience delivering solutions applying industry standard Agile methodologies.

•Over one year in relevant technologies (current examples include Java, ECL, Pentaho, Oracle, NoSQL, Kafka, FLUME).

•Prior experience delivering data processing systems to adhere to Sponsor or IC data handling, tagging, compliance, and security requirements.

•Demonstrated work experience in architecting new system solutions using current technologies, as well as transitioning existing systems into modern technologies without negatively impacting operational and compliance requirements.

•Demonstrated experience performing data assessment, data engineering, modeling and analytics to enable new methodologies for end user analysts, data scientists, etc.

•Experience with data analysis; target needs assessment; systems engineering and integration; data acquisition/distribution/ management/ enhancement; data prioritization; Sigint/Humint Targeting and Analysis.

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