6 дней назад
Data Engineer (AI)
100 000 - 115 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (AI) (AWS/Python/Linux): Managing, validating, documenting, and securely transferring structured and unstructured data within the SUNet environment with an accent on data governance, storage operations, and secure data movement. Focus on automating repetitive workflows, maintaining data integrity, supporting AI/ML development teams, and troubleshooting access, storage, and transfer issues for Department of Defense initiatives.
Location: Fairfax, Virginia, United States
Salary: $100,000–$115,000 per year
Company
Federal supports defense, intelligence, and federal civilian agencies with technology solutions in data and AI, cybersecurity, and enterprise transformation.
What you will do
- Ingest, organize, store, manage, validate, and securely transport structured and unstructured data within the SUNet environment.
- Execute approved transfers between authorized systems, storage locations, enclaves, and users while following security and data-handling requirements.
- Maintain data inventories, metadata, storage records, transfer documentation, standard operating procedures, and operational runbooks.
- Support on-premises and cloud storage operations, including capacity monitoring, dataset organization, lifecycle activities, and migrations.
- Coordinate Change Requests, customer requirements, user and data-source onboarding, testing events, and capability demonstrations.
- Develop scripts and automation for data validation, transfers, reporting, and repetitive operational processes; troubleshoot routine access, permission, connectivity, and storage issues.
Requirements
- Foundational experience with data management, Linux, cloud technologies, scripting, and information technology.
- Python, Bash, SQL, Linux administration, AWS and cloud storage fundamentals.
- Knowledge of metadata, manifests, checksums, data lineage, lifecycle management, access controls, and data quality.
- Experience or familiarity with secure transfers such as SFTP/SCP, object-storage transfers, APIs, encryption, and large-file transfer concepts.
- Understanding of CUI and Department of Defense data-handling requirements, including authorized access, least privilege, auditability, and controlled data movement.
- Self-starter able to execute routine technical work independently and resolve engineering challenges with limited supervision.
Nice to have
- CompTIA Security+, CompTIA Linux+, AWS Solutions Architect–Associate, or Network+ certification at hire or within 6–12 months.
- Git/GitLab, CI/CD, Docker or Podman, change and configuration management experience.
Culture & Benefits
- Work directly with government customers, AI/ML developers, commercial vendors, systems engineers, and cybersecurity personnel.
- Support Department of Defense artificial intelligence and autonomy initiatives.
- Opportunities to develop technical expertise through complex data, infrastructure, security, migration, and testing activities.
- Benefits information is provided by .
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