Senior Data Analytics Engineer

Peraton • Annapolis Junction, MD

22h • $176,000 - $282,000

About The Position

The team supports web-based applications that automate data management for Intelligence Community data custodians. These products facilitate the capture of information and approvals that allow data to move through the customer mission space compliantly, while standardizing and simplifying data movement, reuse, and integration with downstream tools.

The Senior Data Analytics Engineer will apply knowledge of data enrichment and conversion methods, data ontologies and schemas, structured data formats, and databases. The role develops approaches to extract meaning and value from structured and unstructured data, uses statistical methods or machine learning to identify patterns and entity behavior, and presents focused datasets through query and visualization tools. The engineer also develops automated data characterization methods, analyzes requirements for characterization and ingestion of data types, and collaborates with customer teams to understand mission needs.

The position requires an active TS/SCI clearance with a current polygraph, at least eight years of software development or engineering experience, and at least one specified certification. A technical bachelor’s degree is highly desired; a relevant bachelor’s degree may count as two years of experience. The stated typical salary range is $176,000–$282,000. Peraton offers enhanced benefits for employees supporting the National Security program, including heavily subsidized employee benefits coverage, 25 days of PTO accrued annually up to a generous cap, and eligibility for a bonus plan.

Requirements

• Active TS/SCI clearance with a current polygraph.
• At least eight years of experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/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/schemas, structured data types such as XML, CSV, and JSON, and databases.

Nice To Haves

• A bachelor’s degree in a technical discipline from an accredited college or university is highly desired. A relevant bachelor’s degree will be considered equivalent to two years of experience.
• Analytic development experience using scripting languages such as Python and Scala with statistical libraries.
• Skill with big data processing frameworks such as Pig, MapReduce, and Spark to scale algorithms over large volumes of data.
• Experience combining at least two of analysis, computer science, mathematics, and software engineering to devise strategies for extracting value from large datasets.
• Experience with predictive analytics, machine learning, and data mining.
• Skill with data flows, Pig scripting, Hadoop MapReduce, and analytic tools.
• Skill 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.
• 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 metadata domains to develop methodologies and techniques for automated data characterization.
• Analyze and develop requirements supporting 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 an attractive bonus plan.
• Employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay, depending on the position.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed