Job description

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 certifications: • AWS Certified Developer – Associate • AWS Certified Machine Learning Engineer – Associate • AWS Certified Generative AI Developer – Professional • AWS DevOps Engineer – Professional • Certified Kubernetes Application Developer (CKAD) Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan. 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 DataXplorer 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, MapReduce 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 MapReduce, 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 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 DataXplorer 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, MapReduce 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 MapReduce, 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 certifications: • AWS Certified Developer – Associate • AWS Certified Machine Learning Engineer – Associate • AWS Certified Generative AI Developer – Professional • AWS DevOps Engineer – Professional • Certified Kubernetes Application Developer (CKAD) Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.

Requirements

Must-haves

Active TS/SCI with current polygraph required
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.
AWS Certified Developer – Associate
AWS Certified Machine Learning Engineer – Associate
AWS Certified Generative AI Developer – Professional
AWS DevOps Engineer – Professional
Certified Kubernetes Application Developer (CKAD)
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.
Devise strategies to extract meaning and value from structured and unstructured data

Nice-to-haves

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, MapReduce 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 MapReduce, 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
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, MapReduce 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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awsmachine learningaikubernetespythonjava

Platform: peraton
Effort: medium

Benefits

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Pto