Job Number: R0074164
Data Engineer, Senior
Work on cutting edge projects from genomic research to counter-threat. Perform activities, including data architecture, building data, and analytic platforms, building out extract, transform, and load (ETL) pipelines and data access services and ensuring data discoverability and quality. Support the assessing, designing, building, and maintaining scalable data platforms that use the latest and best in Big Data tools. Perform analytical exploration and examination of data from multiple sources. Enforce data governance best practices on the data platform. 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.
-5+ years of experience with coding using Java, Scala, or Python
-Experience with developing and deploying ETL pipelines using Apache Spark
-Experience with data tools
-Experience in interfacing with modern relational databases, including MySQL or PostgreSQL
-Experience in working with Big Data platforms, including Hadoop, amazon web services (AWS), Azure, or DataBricks
-Ability to learn technical concepts quickly and communicate with multiple functional groups
-BA or BS degree
-Experience with Agile software development
-Experience with NoSQL data stores, including HBase, MongoDB, JanusGraph or Neo4J, and Cassandra
-Experience with ETL tools, including StreamSets, NiFi, and Taland
-Experience in working with enterprise production systems
-Ability to display a positive, can-do attitude to solve the challenges of tomorrow.
-Possession of excellent oral and written communication skills
-BA or BS degree in CS, Information Systems, or a related field preferred; MA or MS degree a plus
-AWS Certification or related Certifications
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
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