Data Engineering SME

2 weeks ago


Chantilly, Virginia, United States Peraton Full time
Job Summary

Peraton is seeking a highly skilled Data Engineering SME to support the development, delivery, and maintenance of indexing, search, and retrieval services from data repositories specified by the government. The ideal candidate will have expert knowledge of leading indexing tools such as Elasticsearch or OpenSearch and strong understanding of cloud storage and computing.

Key Responsibilities

Support the development, delivery, and maintenance of indexing, search, and retrieval services from data repositories specified by the government.
Operate and maintain existing indexing, search, and fetch tools and services, make enhancements to existing tools and services, and develop new tools and services.
Deploy and operate tools and services on multiple environments, including Development, Testing, Staging, and Production, and on networks that include Top Secret, Secret, and Unclassified security fabrics.
Perform all necessary tasks to obtain Security Accreditation and Authorization (A&A).
Implement indexing solutions that support unstructured, semi-structured, and structured data formats, including CSV, JSON, XML, Lucene, Graph indexes, Parquet, Iceberg, and other formats used in storing, indexing, processing, searching, and retrieving data.
Provide support to automate data exploitation pipelines that specialize in moving and cleaning data across networks.
Support AI/ML initiatives within indexing capabilities as well as entity resolution and correlation.

Qualifications

Minimum of 16 years with BS/BA; Minimum of 14 years with MS/MA; Minimum of 10 years with Ph.D.; 18 years in lieu of a degree.
Expert knowledge of leading indexing tools such as Elasticsearch or OpenSearch.
Expert in programming languages such as Python or Java.
Strong understanding of cloud storage and computing.
Excellent interpersonal skills to mentor and coach teammates.
Ability to collaboratively interact with customers, including senior management, data scientists, and end users.
TS/SCI with poly.
Desired qualifications include understanding the challenges of indexing structured and unstructured data, decomposing functional requirements into technical specifications and tasks, software development and maintenance using tools and languages such as Java, SQL, JavaScript libraries, HTML, XML, Python, Spark, etc., developing APIs and web services for integration between systems and services, experience with Agile development methodologies, experience with SecDevOps processes, designing and delivering software solutions for the Sponsor, supporting and leading software security accreditation processes, developing required artifacts, coordinating with sponsor infosec, implementing security requirements and remediations, knowledge of automation tools such as Python, Powershell, Terraform, Ansible, experience with development in cloud environments such as AWS, Azure, Google Cloud.
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