Senior Systems Engineer

Que Technology Group

$120K — $150K *
Information Technology
15+ years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Engineering or related field with 20 years of systems engineering experience.
  • Alternatively, a master's degree with 18 years or a PhD with 16 years of experience, or 24 years of experience without a degree can qualify.
  • TS/SCI clearance with polygraph is required.
  • Expertise in enterprise dataflow architectures and cloud technologies.
  • Strong knowledge of Linux and Cloudera Hadoop environments.

Responsibilities

  • Lead design and sustainment of enterprise dataflow architectures for mission-critical analytics.
  • Manage high-availability Linux and Cloudera Hadoop cloud infrastructures.
  • Develop end-to-end dataflow solutions using Niagarafiles and XKS.
  • Implement automation and monitoring strategies to enhance system performance.
  • Provide technical leadership for DevOps, Agile, and Scrum initiatives.
  • Ensure compliance with security and data handling regulations.
  • Coordinate across teams to transition systems to production and support mission objectives.

Benefits

  • Company-paid medical, dental, and vision plans.
  • Company-paid short-term and long-term disability, and life insurance.
  • Paid business class travel upgrades for long flights with covered expenses.
  • 25 vacation/personal days per year and 11 paid federal holidays.
  • $5,000 annual professional development fund and 40 paid hours for in-class attendance.
  • 401K with a 6% company match and immediate vesting.
  • $10,000 referral bonus for hiring candidates.
  • Up to 3 paid Code Red days due to customer closure.
Full Job Description
Senior Systems Engineer to act as 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.

The Principal Data Flow Engineer 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
  • Bachelor's degree in a Qualified Engineering Field or related discipline from an accredited college or university with twenty (20) years of systems engineering experience.
  • In lieu of a bachelor's degree, candidates may qualify with a master's 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:
  • TS/SCI clearance with polygraph

BENEFITS:
  • Competitive salary
  • Company Medical/Dental/Vision plans - Company paid
  • Short-term Disability, Long-term disability and Life Insurance - Company paid
  • Business/ First Class travel upgrade for 7 hour or longer flights & company card will be provided for expenses
  • Vacation / Personal days granted at 25 days per year
  • Paid Federal Holidays - 11 days
  • $5,000 Annual Professional Development Fund plus 40 paid hours if in class
  • 401K with 6% company match; all contributions are immediately vested by Employee
  • Employee will be paid a bonus of $10,000 per employee hired based on their referral
  • Up to 3 paid Code Red days due to customer closure

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