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1 month ago
Job Summary
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. We need a data professional like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
- Minimum Qualification: Degree
- Experience Level: Mid level
- Experience Length: 2 years
Job Description/Requirements
Nice To Have:
- 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 with creating software for retrieving, parsing, and processing structured and unstructured data
- Experience with developing scalable ETL/ELT workflows for reporting and analytics
- Experience creating solutions within a collaborative, cross-functional team environment
- Ability to develop scripts and programs for converting various types of data into usable formats, support project team to scale, and monitor and operate data platforms
- Secret clearance
- Bachelor’s degree
Nice If You Have:
- 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, including 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
- TS/SCI clearance with a polygraph
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