Senior Data Analytics Engineer

Role Overview

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.

What You Will Do

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, and use query and visualization tools to present question-focused datasets in a story-like manner.

Why It Might Be a Fit

The team is looking for someone with knowledge of data enrichment/conversion methods, familiar with data ontologies/schemas, strong knowledge of structured data types (XML, CSV, JSON), and database experience.

Requirements

• 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

Benefits

• Heavily subsidized employee benefits coverage for you and your dependents
• 25 days of PTO accrued annually up to a generous PTO cap
• Eligibility to participate in an attractive bonus plan

Tagged as: Data Analysis