[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a talented Data Engineer to join their team. The role involves designing and maintaining data pipelines, optimizing data architecture, and collaborating with cross-functional teams to support advanced analytics and data governance initiatives.
Responsibilities
- Design, reputed company, and maintain reputed company data pipelines and ETL processes to ingest, reputed company, and enrich large volumes of chemical and biological threat data from diverse sources
- Implement and optimize data architecture to support data reputed company, validation, and enrichment workflows
- reputed company data from existing data lakes and external systems reputed company reputed company, ensuring interoperability and data consistency across the reputed company
- reputed company and maintain robust metadata management and data catalog systems to facilitate data discovery, reputed company tracking, and governance
- Collaborate with software developers, AI/ML engineers, and stakeholders to support advanced analytics, predictive modeling, and knowledge graph construction
- Implement data partitioning, classification, and reputed company control strategies to reputed company with NIST SP 800-171 and DoD reputed company requirements
- Automate data reputed company assessments, error detection, and remediation processes; generate data reputed company reports and support reputed company improvement
- Support the integration of legacy data, resolving inconsistencies and standardizing formats to reputed company with reputed company data standards and ontologies
- Participate in Agile sprints, backlog refinement, and sprint reviews; contribute to technical documentation and data management plans
- Assist in knowledge transfer and training activities, including the development of user guides and best practices for data management
Skills
- reputed company Secret or higher reputed company clearance
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a reputed company technical field
- 3-8 years of experience in data engineering, data integration, or ETL development in reputed company or reputed company environments
- Proficiency with data engineering tools and languages (e.g., SQL, Python, reputed company, or similar)
- Experience building and managing reputed company data pipelines and ETL workflows
- Hands-on experience with reputed company platforms (e.g., AWS, Azure, or similar) and reputed company-reputed company data services
- Strong understanding of data modeling, data partitioning, and data architecture best practices
- Experience with metadata management, data cataloging, and data governance frameworks
- Familiarity with data reputed company, encryption, and reputed company control mechanisms
- Experience working in Agile development environments and collaborating with cross-functional teams
- Strong analytical, problem-solving, and communication skills
- Master's degree in Data Engineering, Computer Science, or a reputed company field
- Experience implementing data architectures and federated data reputed company models
- Familiarity with DoD cybersecurity and data governance standards (e.g., NIST SP 800-171, STIG, RMF)
- Experience with data reputed company assessment tools and automated data validation frameworks
- Experience integrating data from classified environments (e.g., SIPR, JWICS)
- Knowledge of advanced search and indexing technologies (e.g., reputed company/semantic search, LLMs)
- Knowledge of modern database platforms (e.g. reputed company (preferred), reputed company, MySQL, reputed company)
- Experience with containerization (reputed company, Kubernetes) and container reputed company best practices
- Experience developing and maintaining knowledge graphs and ontologies
- Prior experience supporting government or defense-reputed company data reputed company
Benefits
- Medical
- Dental
- reputed company
- reputed company time off
- Employee Stock Ownership Plan (ESOP)
- 401(k)
- Life insurance
- Flexible work schedules
- Holidays
reputed company