Senior Data Analytics Engineer

Peraton•Annapolis Junction, MD

About The Position

Peraton is hiring a Senior Data Analytics Engineer to support a suite of web-based applications that automate data management for intelligence community data custodians. These products facilitate the capture of information and approvals needed to move data through the customer mission space in a compliant manner, while standardizing and simplifying data movement, reuse, and integration with downstream tools. The role focuses on extracting meaning and value from structured and unstructured data, developing data characterization and ingestion approaches, and using statistical methods or machine learning to discover patterns and entity behaviors. The engineer will use query and visualization tools to present focused datasets, work with metadata domains and data schemas, and collaborate with customer teams to understand mission needs and requirements.

Requirements

Active TS/SCI clearance with a current polygraph.
At least eight years of experience in software development or engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis and resolution.
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; or Certified Kubernetes Application Developer (CKAD).
Knowledge of data enrichment and conversion methods, data ontologies and schemas, structured data types such as XML, CSV, and JSON, and databases.

Nice To Haves

Bachelor’s degree in a technical discipline from an accredited college or university; a relevant bachelor’s degree is considered equivalent to two years of experience.
Analytic development experience using scripting languages such as Python and Scala with statistical libraries.
Experience with big data processing frameworks such as Pig, MapReduce, and Spark.
Experience combining two or more skills in analysis, computer science, mathematics, and software engineering to extract meaning and value from large datasets.
Experience with predictive analytics, machine learning, and data mining.
Skill with data flows, Pig scripting, Hadoop MapReduce, and analytic tools.
Experience working with development and systems engineering teams, 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.
Java/Python analytic development experience.
Working knowledge of NIFI.

Responsibilities

Devise strategies to extract meaning and value from structured and unstructured data.
Use 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 domains of metadata to develop methodologies and techniques for automated data characterization.
Analyze and develop requirements to support characterization and ingestion of new and existing data types.
Collaborate with customer teams to understand direct mission needs and requirements.

Benefits

Heavily subsidized employee benefits coverage for employees and their dependents.
25 days of PTO accrued annually, up to a generous PTO cap.
Eligibility to participate in a bonus plan.
Medical, dental, vision, and life insurance.
Health savings account.
Short- and long-term disability.
Employee assistance program (EAP).
Parental leave.
401(k).
Paid time off for vacation.
Company-paid holidays.
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.