Title: Data Engineer
Location: Herndon, VA
*Clearance: *Active TS/SCI w/ Polygraph needed to apply *
Company Overview:
Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation’s toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don’t look any further than Cornerstone Defense.
Benefits Overview:
Cornerstone Defense offers a very comprehensive benefits package including, but not limited to: Medical, Dental and Vision Plans * Generous PTO Policy * 401(k) * HSA and FSA options * Life and Disability Insurance * Tuition Reimbursement and Training * Perks at Work Discount Program * Referral Program * Leads Generation Program * CollegeAmerica 529 * Fitness Reimbursement Program * Travel Assistance * Norton Lifelock Benefit Solutions * Life Planning Financial & Legal Services *
| We are looking for a skilled Python Data Engineer to join our team. As a Python Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines. We are looking for someone to design, build, and optimize systems for data collection, storage, access, and analytics at enterprise scale. Join a team that creates data pipelines to collect and convert raw Cyber related data into formats usable by our cyber analysts and data scientists. Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment. Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate. Your role and responsibility are to make data available, accessible, and secure to stakeholders. Responsibilities include, but are not limited to: * Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions. * Operate and manage a custom codebase and its integration with open-source/vendor data platforms and products. * Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes. * Incorporate core data management competencies including data governance, data security and data quality. * Test data movement, transformation code, and data components. * Create robust and resilient data pipelines to connect data sources to analytics tools * Platform support including problem solving and debugging, especially for production issues.
|