Senior Data Analytics Engineer

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace.

The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit  to learn how we’re keeping people around the world safe and secure.

Project

Description:

• The team supports a suite of web-based applications that automate data management for IC data custodians.
• The products facilitate the capture of information and approvals that allow for the movement of data through the customer mission space in a compliant manner.
• These products are critical to standardize and simplify data movement as well as data reuse and integration with downstream tools.

Job Description:

• The team is looking for someone that is knowledgeable with data enrichment/conversion methods, familiar with data ontologies/schemas, strong knowledge of structured data types (XML, CSV, JSON), and has database experience.
• Devise strategies to extract meaning and value from structured and unstructured data
• Leverage statistical methods and/or machine learning to discover patterns and behaviors of entities
• Use query and visualization tools, such as Data Xplorer and GMAE, to present question focused datasets in a story-like manner
• Work with various domains of metadata to develop new methodologies and techniques for automated data characterization
• Analyze and develop requirements to support the characterization and ingestion of new and existing data types
• Collaborate with customer teams to understand direct mission needs and requirements
• Collaborate with customer teams to understand mission needs

Desired

Qualifications:

• Analytic development experience using scripting languages such as Python and Scala to use statistical libraries against data
• Skilled with big data processing frameworks such as Pig, Map Reduce and Spark to scale algorithms over large volumes of data
• Experience employing combination (2 or more) of analysis, computer science, mathematics, and software engineering skills to devise strategies for extracting meaning and value from large datasets
• Experience with predictive analytics, machine learning, and data mining
• Skilled with data flows, Pig scripting, Hadoop Map Reduce, and various analytic tools
• Skilled working with development and SE teams, other stakeholders agencies, and leadership
• Knowledge of data indexing and analytic development
• Experience working with cloud service providers and data stewards
• Demonstrated experience in network metadata processing, manipulation, and analysis in support of intelligence analysis

Highly Desired

Skills:

• JAVA/Python
• Analytic development experience
• Working knowledge of NIFI

Basic Requirements:

• Active TS/SCI with current polygraph required
• At least eight (8) years of experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution
• Bachelor’s degree in technical discipline from an accredited college or university is highly desired
  • A relevant bachelor’s degree will be considered equivalent to two (2) years of experience.
• At least one of the following…