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Intelligence Operations Support Principle - Senior (22990)
Chantilly, Virginia, United States · On-site
$150k–$180k/yr
Senior+
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$143k–$238k/yr
Full-time
bachelor degree
Posted 8d ago
~40 hrs/week
Responsibilities
The software engineer will design, develop, and deploy complex software tools to parse raw data within a mission-critical AWS-based environment. They will collaborate with cross-functional teams to optimize system performance and maintain architectural ownership of data layers.
Requirements
Candidates must possess a bachelor's degree in a technical discipline and have significant experience with scalable data platforms and cloud services. An active TS/SCI with Polygraph clearance and US citizenship are mandatory requirements for this role.
Full job description
GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry.
At GCI, we solve the hard problems. As a Software Engineer, a typical day will include the following duties:
The Software Engineer will design, develop, code, test, and debug complex software products to be deployed in a mission critical environment. The ideal candidate is a hands-on developer with significant experience in scalable data platforms, cloud-based services, and big data analytics, and OpenSearch or Elasticsearch. They must have strong, firsthand technical expertise in a variety of data ingestion/computation technologies and the proven ability to fashion robust scalable solutions that can manage large data sets. They must be at ease working in an agile environment with a cross-functional team. This person should embody a passion for innovation and continuous improvement.
KEY RESPONSIBILITIES
Work with a team to write new cloud-based applications and tools and recommend new technologies and methodologies to improve system performance and usability.
Design, develop, test, debug, and deploy new software tools that extend or replace existing capabilities to parse raw data for analysis.
Collaborate cross-functionally with data scientists, analysts, project managers and other engineers and technical SMEs.
Deploy new software into an AWS-based data ingest pipeline.
Write software that interacts with multiple data types and stores data into S3 buckets that is queried by processes running Athena or OpenSearch.
As an OpenSearch expert, drive the design of indexing strategies, query optimizations, and maintain overall architectural ownership of the OpenSearch data layer.
Troubleshoot complex problems and provide support to mission areas for software systems and application issues.
Maintain good documentation for new software written and new procedures to be followed.
Provide recommendations for continuous improvement.
Work alongside other engineers on the team to sustain and advance our organization’s capabilities.
EDUCATION AND EXPERIENCE
Bachelor's degree in Computer Science, Information Technology, or other related technical discipline, or equivalent combination of education, technical certifications, training, and work/military experience.
DESIRED QUALIFICATIONS
Demonstrated hands-on experience with Python, Git, and unit testing frameworks.
Demonstrated hands-on experience with building APIs and services using REST.
Demonstrated hands-on experience with OpenSearch or Elasticsearch.
Demonstrated hands-on experience with AWS CDK 1 and/or 2 or Terraform.
Demonstrated hands-on experience applying object-oriented design principles and patterns to architect scalable, maintainable, and testable software systems in production environments.
Demonstrated hands-on experience designing and developing applications using core AWS services, including EC2, S3, IAM, and VPC
*A candidate must be a US Citizen and requires an active/current TS/SCI with Polygraph clearance.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Related keywords
Software EngineeringTS/SCI with PolygraphData AnalyticsCloud-based ServicesBig DataOpenSearchElasticsearchPythonGitRESTAWS CDKTerraformObject-oriented DesignEC2S3IAM
We help our customers solve their greatest challenges by providing exceptional consulting and mission solutions.
Industry
IT Services and IT Consulting
Company size
501-1,000 employees
Founded
1989
Headquarters
Reston, Virginia
LinkedIn followers
2,079
GCI is an Engineering and IT Services company focusing on Data Analytics, Engineering, Cyber Operations, Targeting and Analysis, Operations Solutions and Training. We help our customers solve their greatest challenges by providing exceptional consulting and mission solutions.
Offices: 11111 Sunset Hills Rd, Ste 130, Reston, Virginia 20190, US
How much do Data & Analytics jobs in Chantilly, VA pay?
Based on 226 listings with disclosed salaries, most data & analytics jobs in Chantilly, VA pay between $94k–$225k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Chantilly, VA right now?
There are currently 294 open data & analytics positions in Chantilly, VA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Chantilly, VA?
Companies currently hiring include Booz Allen Hamilton, GCI Incorporated, CACI International Inc, SAIC, KBR, Inc., among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Chantilly, VA?
Yes — 41 of the 294 open data & analytics positions offer remote or hybrid work (9 remote, 32 hybrid).
How do I apply for Data & Analytics jobs in Chantilly, VA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.