Principal Data Flow Engineer

Leidos has a new and exciting opportunity for a Principal Data Flow Systems Engineer in our Intelligence Sectors Cyber & Analytics Business Area (CABA). Our talented team is at the forefront in Security Engineering Computer Network Operations (CNO) Mission Software Analytical Methods and Modeling Signals Intelligence (SIGINT) and Cryptographic Key Management.

At Leidos we offer competitive benefits including Paid Time Off 11 paid Holidays 401K with a 6% company match and immediate vesting Flexible Schedules Discounted Stock Purchase Plans Technical Upskilling Education and Training Support Parental Paid Leave and much more. Join us and make a difference in National Security!

The Principal Data Flow Engineer is a senior technical leader responsible for designing integrating and sustaining enterprise-scale dataflow architectures that support mission-critical analytics across secure cloud and distributed environments. This role oversees high-availability Linux and Cloudera Hadoop infrastructures develops and maintains end-to-end dataflow solutions using technologies such as Niagara files and XKS and ensures reliable secure and compliant data ingestion processing and delivery. The position also leads automation monitoring troubleshooting and DevOps initiatives to improve system performance and operational efficiency while coordinating across engineering operations analytics and stakeholder teams to deploy scalable resilient and mission-focused dataflow capabilities.

Primary Responsibilities

• Lead the design integration and sustainment of complex enterprise dataflow architectures supporting mission-critical analytics ensuring reliable ingestion processing routing and delivery across large-scale cloud and distributed environments.
• Manage and optimize high-availability Linux and Cloudera Hadoop cloud infrastructures including virtual machines storage containers and enterprise data repositories to support thousands of secure operational dataflows.
• Engineer and maintain end-to-end dataflow solutions using technologies such as Niagarafiles and XKS and related processing systems ensuring schema compatibility metadata integrity and proper data governance throughout the lifecycle.
• Develop and implement monitoring troubleshooting and automation strategies utilizing system instrumentation cron scripting logging and operational monitoring tools to improve system continuity performance and incident response capabilities.
• Provide technical leadership for DevOps and Agile/Scrum initiatives including task prioritization workflow modernization requirements management and cross-functional coordination to improve operational efficiency and team performance.
• Ensure compliance with enterprise security classification and data handling requirements by applying deep knowledge of intelligence community governance policies access controls and secure data routing methodologies.
• Coordinate across engineering operations analytics and stakeholder organizations to deploy new capabilities transition systems into production establish standard operating procedures and support enterprise-wide mission objectives through scalable and resilient dataflow solutions.

Basic Qualifications

• Bachelors degree in a Qualified Engineering Field or related discipline from an accredited college or university with twenty (20) years of systems engineering lieu of a bachelors degree candidates may qualify with a masters degree and eighteen (18) years of experience a PhD and sixteen (16) years of experience or twenty-four (24) years of systems engineering experience with no degree.
• Security Clearance Requirement: Active TS/SCI with polygraph

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If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

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Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.