Data Engineer
$62,000–$141,000 year
On-siteArlington, Virginia, United States or Washington, District of Columbia, United States
Job Summary
Develop and deploy pipelines and platforms that organize disparate data from IoT, machine learning, and artificial intelligence sources. Build advanced technology solutions to help clients find answers in their data for missions ranging from fraud detection to cancer research and national intelligence. Design, develop, and maintain scalable platforms while working with multi-disciplinary teams of analysts, engineers, and developers in an agile environment. Create scripts and programs to convert various data types into usable formats and support project teams in scaling, monitoring, and operating data platforms.
Required Qualifications
- 2+ years of experience utilizing programming languages, including C++, Java, or Python
- 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
- Experience creating software for retrieving, parsing and processing structured and unstructured data
- Experience with developing scalable ETL and ELT workflows for reporting and analytics
- Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms
- Secret clearance
- Bachelor's degree
Desired Qualifications
- Experience in application development utilizing SQL or Scala
- Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
- Experience with distributed data and computing tools, such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
- Experience working on real-time data and streaming applications
- Experience with NoSQL implementation using MongoDB or Cassandra
- Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake
- Experience with UNIX and Linux, including basic commands and Shell scripting
- Experience with Agile engineering practices
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