Developer with Security Clearance

4 weeks ago


Chantilly, United States BLEVE Corporation Full time
Position Summary This is a position for three Software Engineers who will assist the Sponsor through software development to support the acquisition, analysis, transformation, normalization, and loading of a vast array of data types.
Location: Chantilly
Job Description The team of three Software Engineers will assist the Sponsor in their responsibilities through software development for the acquisition, analysis, transformation, normalization, and loading of a vast array of data types. The office engineers, operates, and maintains a large data lake and platform to make the data available to the rest of the Sponsor's organization. The Sponsor’s office is responsible for compliance with the Sponsor’s Assessment and Authorization (A& A) process and for providing the appropriate documentation through the various facets of this process. The Sponsor’s office is responsible for capturing metrics and building dashboards to help the team make more informed business decisions and is responsible for performing configuration management activities for the documentation control of the Sponsor’s systems and processes. The team of Software Engineers will perform schema development and updates for the Data Warehouse. Schemas include email, event, conversation, document, relationship, person, account, credential, call, chat, translation, transcription, device, contact, location, or archive. They will perform extract, transform and load (ETL) development for the data ingest pipeline, integrating and updating workflow orchestration for the data ingest pipeline to perform API service development and updates. Mandatory Technologies 1. Relational Data Stores (e.g., Oracle 21c) 2. NiFi 3. Kafka, Elastic MapReduce (EMR) Hbase, Elastic, Splunk, Java, Python, and Spring to instrument and update the Data Catalog for data metrics, using Splunk and MySQL. Mandatory Demonstrated Experience 1. Demonstrated experience performing ETL activities including, but not limited to, parser development and deployment; data flow management; implementing data lifecycle policies; troubleshooting data access issues; and developing data models. 2. Demonstrated experience performing data migration including the design, implementation, and management of migration efforts. 3. Demonstrated experience using and applying Splunk. 4. Demonstrated experience developing and deploying code in a cloud-based environment. 5. Demonstrated experience using Java, Python, Spring, Kafka, Elastic, and EMR Hbase. 6. Demonstrated experience using Jira, Elasticsearch, NiFi, MySQL, Oracle, Kubernetes or other container solution, or Apache Spark. 7. Demonstrated experience performing data migration including the design, implementation, and management of migration efforts. 8. Demonstrated experience using and applying Splunk. 9. Demonstrated experience developing and deploying code in a cloud-based environment.

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