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Data Integration Engineer
Virginia All
Network Engineer
JN -032020-114553


• Design, develop, test, and provide production support of integration development process.

• Perform data analysis and data modeling to create source to target mapping documents.

• Develop Connectors and processes for Elastic to various security sensors and tools.

• Create documentation for the installation, configuration and implementation of these

connectors and processes.

• Interpret functional requirements and implements them into processes between a sensor layer

and dashboard layer.

• Perform functional testing in cybersecurity lab.

• Provide support to test team and to tool subject matter experts through systems engineering

life cycle.

• Provide Tier 3 support to operations teams when deployed into production.



• BS in Computer Science or related field required, Masters a plus

• 3-5+ years of Data Integration experience with a minimum 4 years of IT enterprise experience

• 3-5+ years of experience with system integration API such as JSON,

XML, XSLT, SQL, XML and VMF (Variable Message Formats)

• 3-5+ years of experience with code development interfacing with SQL, NoSQL, other

relational and non-relational databases

• 3-5+ years’ experience with ETL using technologies such as REST, SOAP, Native API, and

WSDL, Logstash, Transporter, Python. JavaScript, XML, XSLT, JSON, SQL.

• 3-5+ years of experience using technologies such as Spark, Impala, Unix Shell/KSH,

control-M, SQL, Hive, and Oracle PL/SQL

• Hands-on experience with process building & deployment, alert framework/exception

handling, connectors/listeners

Worked in a DevOps model leveraging the following services GitHub, Jenkins, Docker,

Kubernetes, Openstack.


Preferred Skills:

• Advanced SQL, NoSQL query and scripting

• Experience with relational database systems (i.e. DB2, SQL Server).

• Experience with non-relational databases such as (Amazon RDBS, MongoDB, Hadoop tools)

• Experience with Python, Java

• Understanding of data design concepts (i.e. data modeling, data mapping).

• Overall strong background in systems engineering, security engineering, architecting,

enterprise integration, and interoperability in a complex systems environment

• Knowledge of emerging cybersecurity technologies

• Experience modeling data, message, and service interoperability

• Understanding of technical, operational, and management issues related to design,

development, and deployment of complex and distributed systems

• Understanding of interrelationships between critical infrastructure protection and


• Familiarity with DHS Cybersecurity programs such as Continuous Diagnostics and

Mitigation (CDM)

• Certified Information Systems Security Professional (CISSP) Certification

• Knowledge and experience with Assessment & Authorization (A&A) processes in Federal

environments, preferably with experience utilizing the NIST Risk Management Framework

(RMF) for complex systems or networks

• Powershell knowledge is a benefit

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