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CACI International Data Visualization Engineer- TS/SCI w poly in Reston, Virginia

Data Visualization Engineer- TS/SCI w poly

Job Category: Engineering

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

Data Visualization Engineer to support data collection optimization processes supporting the generation of data points based on multiple data sources. You will be a key contributor supporting the data collection and data reporting efforts of customer requirements to include validation of collected data points.

Job Responsibilities

  • Research, classify and implement solutions to enable data extractions and transformation for predictive or prescriptive modeling.

  • Identify data sources to develop automated solutions to improve mission operations.

  • Perform complex data analysis and validation of data collection processes within the target demographic.

  • Develop processes to generate data metrics supporting the validation of existing and new procedures.

  • Analyze raw data to develop datasets providing data points for metric and report generation supporting the validation of existing processes and procedures.

  • Classify and generate data-points based on data metrics supporting on-going efforts.

  • Partner with customers and support-staff, from diverse perspectives and backgrounds, to assist in the identification of process and procedural shortfalls.

  • Assist in the generation of corrective actions and generate data metrics demonstrating results supporting quality assurance of data.

  • Create and maintain information dashboards, data generators, canned reports and other end-user information portals or resources.

  • Perform over related duties as assigned.

Required Skills, Abilities, and Knowledge

  • Prior experience and proficiency with products such as Elastic Stack (Elasticsearch, Logstash and Kibana) and PowerBI.

  • Prior experience presenting data findings in dashboards, presentations and commonly used visualization platforms.

  • Proficiency with programming and scripting concepts.

  • Strong understanding of databases and database structures to include data modeling principles with specific knowledge of RDBMS and NoSQL on AWS/Azure cloud.

  • Advanced SQL knowledge including experience with relational databases and query authorizing to include familiarity with cloud provided database structures.

  • Excellent verbal and written communication skills with the ability to communicate complex data in a simple, actionable way.

  • Excellent interpersonal skills.

  • Ability to work independently, as well as in a collaborative and dynamic team environment.


  • BS in Computer Science, Engineering, or relevant field.

  • Graduate degree in Data Science or other quantitative field is preferred.

  • Five (5)+ years of Data Scientist or equivalent experience working with data.

  • Prior experience and knowledge of data visualization tools such as Kibana/ElasticSearch and PowerBI.

  • Practical experience with data analysis and exploration, especially with diverse data sets.

What We Can Offer You:

  • We’ve been named a Best Place to Work by the Washington Post.

  • Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.

  • We offer competitive benefits and learning and development opportunities.

  • We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities.

  • For over 60 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success.

Company Overview: At CACI, you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. CACI 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, status as a protected veteran, or any other protected characteristic.