Software Engineer 3

Reposted 21 Days Ago
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Sioux Falls, SD, USA
In-Office
Senior level
Aerospace
The Role
Design, develop, deploy, and maintain large-scale geospatial data processing systems and databases. Build Python data workflows (Airflow), GIS and image-processing capabilities, and JavaScript (Node.js/React) frontends/backends. Optimize databases for performance and security, document designs, follow SDLC, coordinate with architects and admins, and plan containerized/Kubernetes migrations and potential cloud architectures.
Summary Generated by Built In

Title:

Software Engineer 3

Software Engineer 3, KBR Wyle Services, LLC, Sioux Falls, SD:

Support geospatial data processing, storage and distribution for USGS Science projects. Ensure all software activities are conducted in accordance with the Software Development Life Cycle. Lead, communicate, and coordinate activities and technical status with the Enterprise Architects, Software Engineers, and other project team members in the design, development and deployment of large-scale applications and infrastructure. Analyze system and user requirements to define and develop software requirements. Identify software design and development tasks and provide an estimate for the work. Perform and document preliminary and detailed design of components that comprise a software product. Ensure proper processes are followed and documentation is properly maintained. Manage and participate in peer review processes. Create, administer, and troubleshoot databases capable of processing large amounts of information while maintaining security. Analyze and maintain existing databases, as well as research new database features. Optimize database systems for performance including helping users with query optimization. Prepare design specifications and functional documentation for assigned software, database and user interface tasks. Integrate Apache 
Airflow into current data processing systems to improve Python data processing workflows. Design geospatial processing systems and databases utilizing best practices for on-premises and potential future cloud architectures. Research USGS-approved AI technologies to utilize them for cost saving usages. Work with Enterprise Architects and System Administrators to plan future system migrations to using Kubernetes containers.

Telecommuting permitted up to 3 days per week.

Full time employment, Monday – Friday, 40 hours per week.

MINIMUM REQUIREMENTS:

Bachelor’s degree in Computer Science, Computer Information Systems or a related field and 5 years of progressive, post-baccalaureate related work experience.

Must have 4 years of experience in each of the following:

  • Designing, developing, and deploying large-scale applications to process, store and distribute geospatial datasets with a focus on scalability, performance, and security;
  • Building geospatial processing systems and incorporating image analysis capabilities through Geographic Information System and Image Processing tools;
  • Developing and optimizing data processing workflows using Python; and
  • Creating interactive user interfaces and backend services for enterprise applications using JavaScript, including Node.js and React.

Must have 3 years of experience in each of the following:

  • Designing schemas, writing optimized queries, and supporting large-scale transactional and analytical workloads using Relational Databases (MySQL, PostgreSQL, and SQL);
  • Managing deployments, automation scripting, and troubleshooting in Unix and Linux environments; and
  • Integrating software components and enabling secure communication between systems through Web Services and APIs (Application Programming Interfaces) as part of enterprise 
    solutions.

Must have 2 years of experience performing tuning, query optimization, backup/recovery, and ensuring secure handling of large datasets in Database Administration, including Postgres and MySQL.

Must have 1 years of experience in each of the following:

  • Deploying and managing containerized applications using containerization; and
  • Working with on-premise systems and contributing to planning for future cloud-computing architectures.

To Apply: Click “Apply Now.” Should you have any difficulty in applying for this position through our website, please email [email protected] for assistance.

Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture.  These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company.  That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together. 

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

Skills Required

  • Bachelor's degree in Computer Science, Computer Information Systems, or a related field and 5 years of progressive, post-baccalaureate related work experience
  • 4 years designing, developing, and deploying large-scale applications to process, store and distribute geospatial datasets focusing on scalability, performance, and security
  • 4 years building geospatial processing systems and incorporating image analysis capabilities using GIS and Image Processing tools
  • 4 years developing and optimizing data processing workflows using Python
  • 4 years creating interactive user interfaces and backend services using JavaScript, including Node.js and React
  • 3 years designing schemas, writing optimized queries, and supporting large-scale transactional and analytical workloads using relational databases (MySQL, PostgreSQL, SQL)
  • 3 years managing deployments, automation scripting, and troubleshooting in Unix and Linux environments
  • 3 years integrating software components and enabling secure communication between systems through Web Services and APIs
  • 2 years performing tuning, query optimization, backup/recovery, and secure handling of large datasets in Database Administration (Postgres and MySQL)
  • 1 year deploying and managing containerized applications using containerization technologies
  • 1 year working with on-premise systems and contributing to planning for future cloud-computing architectures
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The Company
Belfast
22,677 Employees

What We Do

KBR, Inc. is an American engineering, procurement, and construction company, formerly a subsidiary of Halliburton.

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