Data Ops Engineer

SAIC•San Diego, CA

About The Position

SAIC is seeking an experienced Data Ops Engineer to join our Technical Engineering and Design Department in support of our United States Air Force customer. We have positions available in San Diego and Honolulu. Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest Visualize, interpret, and report data findings in dynamic reports Employ a variety of data manipulation and visualization tools to effectively convey current status and historical trends to leadership, users, and data team Collaborate with platform, software, and other data engineers to (re)configure data ingestion pipelines to be more reliable Comfortable working with data in a variety of formats including Excel, CSV, JSON, and XML Support the incident management process to ensure that incidents documented and resolved quickly. Perform root cause analysis to understand and prevent repeated occurrences of data outages Develop and maintain software to automate monitoring of real-time feeds and alert for timeliness, volume, lineage, and distribution data issues. Process learnings and rely on historical data from data pipelines, translating them into actionable steps to improve data ingest. Support the design, development, testing and implementation of web-based collaboration tools & platforms for data reporting. SAIC accepts applications on an ongoing basis and there is no deadline. SAIC® is a premier Fortune 500® mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com . For ongoing news, please visit our newsroom .

Requirements

Minimum five (5) years of data analysis/engineering
Minimum two (2) years of general IT support
Effective inter-personnel and customer service skills required to interface with Warfighters and other engineer.
Ability to effectively communicate with the Customer, command staff, and peer contractor personnel.
Ability to manage and prioritize tasks to ensure optimum productivity.
Bachelor of Science required in the following preferred fields\: Computer Science, Mathematics, EE, Physics, Information Systems, or Information Technology
Candidates must have an active TS/SCI clearance.
Additional eligibility requirements for access to other levels of classified information is required
U.S. Citizenship is required

Responsibilities

Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest
Visualize, interpret, and report data findings in dynamic reports
Employ a variety of data manipulation and visualization tools to effectively convey current status and historical trends to leadership, users, and data team
Collaborate with platform, software, and other data engineers to (re)configure data ingestion pipelines to be more reliable
Comfortable working with data in a variety of formats including Excel, CSV, JSON, and XML
Support the incident management process to ensure that incidents documented and resolved quickly.
Perform root cause analysis to understand and prevent repeated occurrences of data outages
Develop and maintain software to automate monitoring of real-time feeds and alert for timeliness, volume, lineage, and distribution data issues.
Process learnings and rely on historical data from data pipelines, translating them into actionable steps to improve data ingest.
Support the design, development, testing and implementation of web-based collaboration tools & platforms for data reporting.