SAIC Job - 50615856 | 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 Data 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 in the interest and support of national security objectives.

 RESPONSIBILITIES:

  • Perform assessment of data sets to determine work required to complete the ETL process

  • Analyze data sets to determine compliance with current data models

  • Execute 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 executing data sets to ensure successful completion

  • Correct minor 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

  • Experience with big data technologies and platforms, such as Databricks, AWS EMR, and Apache Spark to execute an Extract, Transform, and Load (ETL) mission

  • Ability to map incoming data sets to the appropriate model

  • Experience developing required database schemas containing windows, screens, tables and columns and reports that support the database model

  • Requires experience using and creating SQL to include creating/querying tables, joining tables, and extracting data across multiple data sets

  • Able to code in Python, PySpark, and Java

  • Experience with Apache NiFi

  • Able to write data sets to AWS S3 storage

  • Able to identify technical problems and develop software updates and fixes

  • Experience with Agile tools, such as JIRA, Confluence, Jenkins, and GitHub

  • Must be creative problem solver and critical thinking skills


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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