The Joint Overhead Persistent-Infrared (OPIR) Center (JOPC) has an immediate need for an immediate need for a Full Stack Data Developer. The individual will:
- Engineer both the front end for user to interface and the back end for processing and data storage
- Investigate/prototype new technologies to aid in acceleration of development and data reporting
- Engineer solutions for continuous integration/continuous deployment pipeline
- Engineer solutions for scalability to meet surge demands
- Collaborate with external DOD and IC groups to facilitate data collection, cyber security compliance, and inter-agency communication
- Collaborate with cross-functional teams, including data scientists, analysts, network engineers, and software engineers to understand data requirements and develop scalable data solutions
- Develop, maintain, and optimize ETL (Extract, Transform, Load) processes to ensure the timely and accurate movement of data from source systems to data warehouses and other storage solutions
- Monitor and troubleshoot data pipelines, identifying and resolving performance bottlenecks, errors, and inconsistencies
- Explore and implement new technologies, tools, and best practices in data engineering to enhance data processing efficiency and scalability
- Collaborate in the design and implementation of data security and privacy measures to protect sensitive information
- Oversee and maintain the day-to-day operation of Linux-based network servers, cloud-based environments, and virtual environments
- Implement, administer and troubleshoot security, data recovery, and network infrastructure solution
- Configure and troubleshoot hardware and software issues related to operative systems, network devices, and customer applications
- Identify, analyze, and resolve system issues in a timely and accurate fashion
- Perform routine network startup and shutdown procedures and monitor system performance
- Monitor network security and implement security policies
- Develop and implement system backup and recovery policies and procedures
- Ensure system and data security and integrity through consistency, validation and error checking routines
- Prepare and implement reasonable, secure methods for the collection, storage and disposition of data
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- 5+ years of experience
- Proven experience as a Data Engineer or in a similar role, with a strong track record of designing and implementing complex data pipelines
- Expertise in Python, Flask, Javascript, React, Django, MongoDB, Kubernettes, AWS Cloud computing, and Linux terminal environment
- Expertise in Linux Systems Administration and Information Assurance within a DevSecOps environment
- Deep understanding of Linux operating system principles, notably Linux distributions such as Red Hat or CentOS.
- Knowledge of Kubernetes/OpenShift and AWS services
- Familiar with container security scanning procedures and remediation within CI/CD pipelines
- Experience within network architecture and TCP/IP protocols within Linux environments
- Experience managing documentation and code in GitLab
- Solid understanding of SQL and NoSQL databases, data warehousing concepts, and data modeling principles
- Familiarity with cloud platform such as AWS, Azure, or Google Cloud, and experience with cloud-based data services
- Effective communication skills to collaborate with both technical and non-technical stakeholders
Preferred Requirements:
- Master’s degree in Computer Science, Engineering, Information Systems, or a related field
- Possess previous Space experience at the operational/theater levels (e.g. Combatant Command, Joint/Combined Task Force, Component)
- Experience with data orchestration and workflow management tools is a plus
- Understanding of DevOps principles and practices related to data engineering is a plus
- Possess experience in supporting USSPACECOM, AFSPACE, NAVSPACE, MARFORSPACE, or SMDC/ARSPACE operations and/or exercises
- Experience working on classified networks and interfacing with military staffs at the operational and strategic level
- Ability to obtain Security+ Certification
- Machine learning experience and/or Artificial Intelligence experience
- Experience working with big data technologies such as Hadoop, Spark, or similar frameworks
U.S. Citizenship Required for this Position: Yes
Job Type: Regular Full-time
Security Clearance : TS/SCI with Polygraph
Schedule: M-F; 8-5
Work Location: Buckley Air Natl Guard Base, CO
Travel: 0-10%
Relocation Assistance Available: No
Position Contingent Upon Award of Contract: No
Salary Range - Colorado: $110,000-$135,000
The salary range information is a general guideline only. Several factors can influence the salary for a position including but not limited to, Federal Government contract labor categories and contract wage rates, geographic location, business considerations, scope and responsibilities of the position, local or other applicable market conditions, and internal equity. Other factors include the candidate’s qualifications such as relevant prior work experience, specific skills and competencies, education/training, and certifications .
Benefits:
Torch Technologies is proud to offer a stable and professional work environment, a competitive salary, and an excellent, comprehensive benefit package including: ESOP participation, 401(k) match and safe-harbor contribution, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, Health Saving Accounts and Health Reimbursement Accounts, EAP, education assistance, paid time off, and holidays.
Applying to Torch Technologies:
Only those candidates invited for an interview will be contacted. Employment at Torch Technologies is contingent upon the successful completion of a comprehensive background check.
Torch Technologies is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Employment Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class.
