About The Position

Rivermatrix is seeking a Systems Engineer to outline, develop and implement data engineering solutions. The candidate should have a working knowledge of NiFi, be comfortable working in a Linux environment, interact with data ontologies (schemas), structured data types (XML, CSV, JSON), have database experience (MySQL/NoSQL) and analytic query experience with a platform. Candidate will work with numerous concurrent IC-provided data sets to identify, map and model data transformation routines supporting ingestion into the customer's corporate repositories and be able to document new and existing data flows supporting data routing implementations. Rivermatrix is a small, technology first shop committed to delivering great work and treating our folks well. Joining Rivermatrix means being a valued member of a small team, not just a number lost in a crowd. We approach our work with creativity, mission-focus, and a passion for quality and results. Rivermatrix is built lean so we can drive resources towards what counts; our employees. We believe that the quality of our staff, focus on building good technology (not just the bottom line), competitive salaries, great benefits, and employee investment are the foundation for our continued success.

Requirements

  • Fourteen (14) years experience as a SE in programs and contracts of similar scope, type and complexity is required.
  • Bachelor’s degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required.
  • Five (5) years of additional SE experience may be substituted for a bachelor’s degree.
  • Demonstrated experience supporting Systems Engineering efforts is required.
  • Working knowledge of NiFi.
  • Comfortable working in a Linux environment.
  • Interact with data ontologies (schemas), structured data types (XML, CSV, JSON).
  • Database experience (MySQL/NoSQL).
  • Analytic query experience with a platform.
  • TS/SCI clearance with polygraph clearance required.

Nice To Haves

  • Working knowledge of smart data systems and entitlements.
  • Experience with JAVA and Splunk is highly desired.
  • Experience with current and evolving agency dataflow and reporting solutions.
  • Experience in developing system performance, availability, scalability, manageability, and security requirements for mid-to-large scale systems.
  • Experience in leading agile development models.
  • Experience integrating COTS and GOTS products from multiple vendors.
  • Experience developing and deploying storage within clustered or cloud environments.
  • Experience planning and integrating secure compliant solutions based on legal, policy, and compliance directives.

Responsibilities

  • Outline, develop and implement data engineering solutions.
  • Work with numerous concurrent IC-provided data sets to identify, map and model data transformation routines supporting ingestion into the customer's corporate repositories.
  • Document new and existing data flows supporting data routing implementations.
  • Implement comprehensive SOA solutions.
  • Conduct and/or approve end-to-end system trade analyses to optimize system operations over its life cycle through the proper balance of non-functional system performance areas.
  • Ensure effective, periodic review and control of the evolving configuration of a system, both hardware and software components and associated documentation, during the life of the system.
  • Develop system design alternatives that consider life cycle cost, reuse, complexity, risk, system expansion, and growth.
  • Maintain knowledge of current and evolving agency, national, and international standards applicable to the system development of interest.
  • Recommend a preferred solution based on selection criteria.
  • Provide technical direction for the full systems engineering life cycle.
  • Fully define interfaces in terms of origination, destination, stimulus, and data characteristics for software.

Benefits

  • PTO
  • 401(k)
  • Health
  • Dental
  • Vision
  • Life
  • Flexible Spending
  • Professional Development
  • Short & Long Term Disability
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