Data Engineer, Senior

Key Role:

Leverage expertise by working on cutting edge topics involving large data sets. Perform data architecture, building data and analytic platforms, building out ETL pipelines and data access services, and ensuring data discoverability and quality. Support the assessing, designing, building, and maintaining of scalable data platforms that use the latest and best in Big Data tools. Transform data into a useful format for data scientists. Work with a multidisciplinary team of analysts, data engineers, data scientists, developers, and data consumers in an agile fast-paced environment that is pushing the envelope of cutting-edge Big Data implementations.

Basic Qualifications:

-Experience with coding using Java, Scala, or Python

-Experience with developing and deploying ETL pipelines

-Experience with interfacing with modern databases

-Experience in working with Big Data platforms, including Hadoop, AWS, Azure, or DataBricks

-Ability to learn technical concepts quickly and communicate with multiple functional groups

-Top Secret clearance

-BA or BS degree and 12 years of experience with big data or MA or MS degree and 9 years of experience with big data

Additional Qualifications:

-Experience with NoSQL data stores, including HBase, MongoDB, JanusGraph or Neo4J, and Cassandra

-Experience with ETL tools, including StreamSets, NiFi, and Taland

-Experience with working enterprise production systems

-Possession of excellent oral and written communication skills

-Possession of AWS or related certifications

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.

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