Data Ops Engineer VFDE
About The Position
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
- Comfortable working with data in a variety of formats including Excel, CSV, JSON, and XML.
- Demonstrate proficiency with frequent-used scripting language such as Python (primary) or bash commonly used in data science applications and data analytics.
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.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
