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Employment Type

Full-Time

BASIC QUALIFICATIONS:

Bachelor's degree in Engineering, Computer Science, Statistics, Applied Math is required plus a minimum of 2 years relevant experience or Master’s degree in a related technical discipline

CLEARANCE REQUIREMENTS:

A TS/SCI security clearance with the ability to obtain a Polygraph is required at time of hire. Candidates must be able to obtain the Polygraph within a reasonable amount of time from date of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.

DUTIES AND TASKS:

We are seeking a Data Engineer to support the Insider Threat mission. Data Engineers work with various security system data owners to automate data integration and collection strategies. Work closely with the data science team to ensure data cleanliness and accuracy.

  • Support data science team by designing, developing and implementing scalable ETL process for disparate datasets into a Hadoop infrastructure
  • Design, develop, implement and maintain data ingestion process from various disparate datasets using StreamSets (experience with StreamSets not mandatory)
  • Develop processes to identify data drift and malformed records
  • Develop technical documentation and standard operating procedures
  • Leads technical tasks for small teams or projects

KNOWLEDGE SKILLS AND ABILITIES:

  • Working knowledge of entity resolution systems
  • Experience with messages systems like Kafka
  • Experience with NoSQL and/or graph databases like MongoDB or ArangoDB
  • Any of the following databases: SQL, MongoDB, Oracle, Postgres
  • Working experience with ETL processing
  • Working experience with data workflow products like StreamSets or NiFi
  • Working experience with Python RESTful API services, JDBC
  • Experience with Hadoop and Hive/Impala
  • Experience with Cloudera Data Science Workbench is a plus
  • Understanding of pySpark Leadership experience
  • Creative thinker
  • Ability to multi-task
  • Excellent use and understanding of data engineering concepts, principles, and theories

Posted date: 17 days ago

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