Principal Dataflow Systems Engineer

The engineer shall be responsible for creating, sustaining, and troubleshooting complex operational data flows including data storage, data transport, data management, data security, data compliance, and knowledge store management.

Additional tasking includes working with the mission customer to perform exploratory data analysis on raw data to clean, enrich, transform and convert the raw data into the required formats.

The contractor shall also be responsible for devising methods to improve existing operational data flow processing, distribution, and reliability.

§ Experience using the Unix CLI

§ Experience creating, managing, and troubleshooting complex operational data flows

§ Experience using Apache NiFi canvas to process and distribute data

§ Experience with Corporate data flow processes and tools

§ Experience with Corporate data security and compliance procedures and policies

§ Experience with the Atlassian Tool Suite (JIRA, Confluence, Bitbucket)

§ General HPC technical knowledge regarding compute, network, memory, and storage components

§ Experience with the Elastic Stack (Elasticsearch/Kibana)

§ Experience with time-series visualization tools such as Grafana

§ Experience writing scripts using Bash/Python

§ Experience with IaC principles and automation tools such as Ansible (Puppet and SaltStack acceptable)

Twenty (20) years' experience as a SE in programs and contracts of similar scope, type and complexity is required.

Demonstrated experience in planning and leading Systems Engineering efforts is required.