Kavaliro
Kavaliro is seeking a Senior Data Engineer to support a client in Virginia.
Job Description: Responsibilities: Develop and manage distributed parallel data processing pipelines, which include but is not limited to processes such as establishing data connections, data parsing, data normalization, data mapping and modeling, data enrichment, and integration with data analytics, supporting ZT principles Operate and maintain the data processing pipelines in accordance with the availability requirements of the platform. Handle all stages, including data connections, parsing, normalization, mapping, modeling, enrichment, and integration with analytics platforms. Collaborate cross-functionally with software engineers, data scientists, intel analysts, and customers to ensure data processing pipelines meet military requirements Communicate clearly and effectively with teammates, customers, and external partners Prepare written and verbal communications on analyses, findings, and project progress Update technical documentation such as system design documentation (SDD); standard operating procedures (SOPs); and tactics, techniques, and procedures (TTPs); and training material Collaborate with functional area Data Stewards and other ZT Pillars to explore data flow mapping tools. Identify automated data tagging/labeling solutions and assist with market research to evaluate their capabilities, scalability, and alignment with organizational requirements Coordinate with Data Governance CME and Automation Pillar Lead, test integration of data and attribute-based access into Policy Decision Points (PDP) and Policy Enforcement Points (PEP). Required Qualifications:
Active TS security clearance and eligible for SCI and NATO read-on prior to starting work Master's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with 8+ years' experience as a data engineer OR a bachelor's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with 10+ years' experience as a data engineer 8+ years' experience in cybersecurity, systems engineering, or information technology, with significant project delivery for large, complex organizations. 8+ years' experience with distributed parallel streaming and batch data processing pipelines 8+ years' experience with Python, Java, or other programming languages 8+ years' experience applying agile methodologies to the data engineering part of a system development life cycle (SDLC) 8+ years' experience with developing, operating, and maintaining data processing pipelines in a classified environment 8+ years' experience integrating with data SDKs / APIs and data analytics SDKs / APIs 8+ years' experience with data mapping, modeling, enriching, and correlating classified data 8+ years' experience with the identification and duplication of data sources and record types to meet military requirements 8+ years' experience with Git repositories and CI/CD pipelines. Examples include but are not limited to GitHub and GitLab. Meet all requirements to receive a privileged user (PU) account on a government information system prior to starting work. The requirements are currently defined in DoDD 8140.01. Desired Qualifications/Certifications:
Experience integrating with Army Intel information systems and record types Certified Information Systems Security Professional (CISSP) Certified Information Security Manager (CISM) Certified Data Management Professional (CDMP) AWS Certified Security - Specialty or equivalent cloud certifications Location:
Fort Belvoir, VA This position is onsite and there is no remote availability Clearance Requirement:
Candidates must have an active TS/SCI security clearance Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.
Job Description: Responsibilities: Develop and manage distributed parallel data processing pipelines, which include but is not limited to processes such as establishing data connections, data parsing, data normalization, data mapping and modeling, data enrichment, and integration with data analytics, supporting ZT principles Operate and maintain the data processing pipelines in accordance with the availability requirements of the platform. Handle all stages, including data connections, parsing, normalization, mapping, modeling, enrichment, and integration with analytics platforms. Collaborate cross-functionally with software engineers, data scientists, intel analysts, and customers to ensure data processing pipelines meet military requirements Communicate clearly and effectively with teammates, customers, and external partners Prepare written and verbal communications on analyses, findings, and project progress Update technical documentation such as system design documentation (SDD); standard operating procedures (SOPs); and tactics, techniques, and procedures (TTPs); and training material Collaborate with functional area Data Stewards and other ZT Pillars to explore data flow mapping tools. Identify automated data tagging/labeling solutions and assist with market research to evaluate their capabilities, scalability, and alignment with organizational requirements Coordinate with Data Governance CME and Automation Pillar Lead, test integration of data and attribute-based access into Policy Decision Points (PDP) and Policy Enforcement Points (PEP). Required Qualifications:
Active TS security clearance and eligible for SCI and NATO read-on prior to starting work Master's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with 8+ years' experience as a data engineer OR a bachelor's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with 10+ years' experience as a data engineer 8+ years' experience in cybersecurity, systems engineering, or information technology, with significant project delivery for large, complex organizations. 8+ years' experience with distributed parallel streaming and batch data processing pipelines 8+ years' experience with Python, Java, or other programming languages 8+ years' experience applying agile methodologies to the data engineering part of a system development life cycle (SDLC) 8+ years' experience with developing, operating, and maintaining data processing pipelines in a classified environment 8+ years' experience integrating with data SDKs / APIs and data analytics SDKs / APIs 8+ years' experience with data mapping, modeling, enriching, and correlating classified data 8+ years' experience with the identification and duplication of data sources and record types to meet military requirements 8+ years' experience with Git repositories and CI/CD pipelines. Examples include but are not limited to GitHub and GitLab. Meet all requirements to receive a privileged user (PU) account on a government information system prior to starting work. The requirements are currently defined in DoDD 8140.01. Desired Qualifications/Certifications:
Experience integrating with Army Intel information systems and record types Certified Information Systems Security Professional (CISSP) Certified Information Security Manager (CISM) Certified Data Management Professional (CDMP) AWS Certified Security - Specialty or equivalent cloud certifications Location:
Fort Belvoir, VA This position is onsite and there is no remote availability Clearance Requirement:
Candidates must have an active TS/SCI security clearance Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.