Data Engineer

Key Skills

Agile methodologies, AWS, Big Data Technology, Data Engineering, Data science techniques, DevOps, Effective communication skills, Git, Infrastructure as code, JIRA, Leadership Skill, MySQL, Python Programming, SPARK Programming, Splunk, SQL

Job Description

Peraton is seeking a Data Engineer to support our classified customer in Washington, DC. Peraton has been supporting our classified customer for 20 years and has a history of supporting building some of the most important & technically advanced applications.

Technology is constantly evolving, and our adversaries are exceeding law enforcement’s ability to keep pace in the cyber space. Those charged with protecting the United States are not always able to access the evidence needed to prosecute crime and prevent terrorism.

Our unique program delivers advanced, technical infrastructure support for our customer and its relative nodes over the world. The team provides Software and System Engineering, Software and System Development and Operations (DevOps) services, Data Science, Big Data and Entity Resolution Engineering services advanced data discovery, analytics, exploitation, and visualization capabilities through application development and tools integration.

The Data Engineer will be responsible for but not limited to:

• Understanding of programming and data engineering concepts and best practice.
• Manage and organize data while identifying trends and inconsistencies that will impact downstream analytics.
• Provide architecting solutions.
• Design and implement automated build and deployment pipelines.
• Troubleshoot files against an architecture to see where the upload process is failing.
• Understand unit tests and add to them to increase stability to the entire pipeline.
• Utilize GIT, JIRA, Confluence, Anaconda, Spyder, and Microsoft tools.
• Be prepared to express ideas and solutions and walk together with teammates through coding challenges.

 This role will provide support on-site M-F

QUALIFICATIONS

Required Qualifications:

• An active TS/SCI eligibility and the ability to obtain a polygraph.
• Bachelor’s degree with eight (8) years of relevant experience; master’s degree with six (6) years of experience PhD with three (3) years of experience.
• At least five (5) years of experience architecting solutions based on customer requirements.
• At least five (5) of experience leading technical teams.
• At least three (3) of experience designing and implementing automated build and deployment pipelines and supporting platform.
• Experience troubleshooting and supporting enterprise applications while maintaining 24/7 availability.
• Experience with Python, SQL, and/or Spark.
• Experience working with both structured, semi-structured, and unstructured data to include data parsing, transformation, schema definition, and query/analysis.
• Experience with data pipelines or be willing to learn a pipeline from bottom to top
• Ability to work both independently and collaboratively.
• High levels of curiosity, creativity, and problem-solving capabilities.
• Strong written and verbal communication skills.

Desired Qualifications:

• An active TS/SCI with polygraph.
• Bachelor’s degree with 10 years of relevant experience
• Have knowledge of Splunk
• AWS experience
• Neo4J knowledge or any graph database experience
• Have experience with MySQL and its associated tables and queries 
• You have worked on teams that practice Agile methodologies

Salary Range Estimates:

The estimate displayed represents the typical salary range for this position and is just one component of Peraton's total compensation package for employees.

Benefits:

Peraton offers enhanced benefits to employees working on 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 participation in an attractive bonus plan.

Target Salary Range

$112,000 - $179,000. This represents the typical salary range for this position based on experience and other factors.