SAIC Job - 50615859 | CareerArc
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Company: SAIC
Location: Chantilly, VA
Career Level: Mid-Senior Level
Industries: Technology, Software, IT, Electronics

Description

Description

SAIC is seeking an experienced, results-oriented, mission-driven DevOps Engineer in support of a USG big data program that Extracts, Transforms, and Loads (ETL) incoming datasets for use by numerous down-stream systems and analysts. The qualified candidate will be part of an Agile team of multi-disciplinary engineers who support an effort to increase the speed of data delivery for structured and unstructured data through Continuous Integration, Continuous Delivery and Automation efforts for a complex Data Management Platform.  LI-CKT

 RESPONSIBILITIES

  • Perform assessments of code base and identify required changes

  • Perform Continuous Integration, Continuous Delivery and Automation for a complex Data Management Platform

  • Support execution of the ETL process on periodic and one-time data sets to include conditioning and write out of the modified data sets

  • Perform O&M of currently executing code base

  • Correct flaws/bugs preventing successful completion of data set processing

  • Collaborate with Mission Engineering team in fixing bugs and in delivering new capabilities

Qualifications

REQUIRED

  • Active TS/SCI with polygraph clearance

  • Bachelor's Degree in data science, computer science, information engineering, or a related subject - OR - four (4) additional years of relevant experience may be substituted in lieu of degree

  • 3+ years' experience maintaining and enhancing Infrastructure as Code (IaaS) with technologies including, but not limited to, CloudFormation, Terraform, Puppet, and AWS CodeDeploy 

  • 3+ years' experience in Python, Perl, Bash, PHP, and other scripting languages 

  • 3+ years' experience using knowledge management and code repositories including but not limited to GitHub, GitLab, Jira, and Confluence 

  • Experience writing or refactoring software code to facilitate deploying applications to standalone compute resources  

  • Experience with Amazon Web Services (AWS)

  • Experience with Apache NiFi

  • Experience programming in Apache Spark and PySpark

  • Familiarity with ingesting data into SQL and NoSQL database systems


SAIC accepts applications on an ongoing basis and there is no deadline.

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.


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