Data Governance Metadata Scientist
Actively Hiring
Full-time Posted 7 months ago
Role overview
- check_circle This role offers flexibility in location, with the option to work from any NV5 Regional Office or remotely from home.
- check_circle Potential travel up to 5-15% of the time
Responsibilities
- check_circle Implement data lineage tracking and metadata synchronization to ensure consistency across Databricks, Kubernetes, and research dashboards.
- check_circle Support ontology-driven decision support systems, mapping structured and unstructured datasets to enhance data interoperability.
- check_circle Develop automated metadata validation and quality control mechanisms, ensuring research datasets maintain compliance with DoD governance frameworks.
- check_circle Integrate metadata into platforms and implement tagging policies consistent with program standards.
- check_circle Utilize GitLab pipelines and CI/CD tools for publishing and indexing routines.
- check_circle Publish or embed outputs in approved web services for research dashboards intended for external access.
- check_circle Utilize Azure-native indexing services such as Cognitive Search to implement federated metadata and research product discovery pipelines.
- check_circle Ensure security boundary compliance.
- check_circle Bachelor’s degree in Computer Science, Data Engineering, Geographic Information Systems (GIS), or a related field, or five (5) years of equivalent experience in data engineering, full-stack development, and metadata-driven data cataloging.
- check_circle Demonstrated experience in developing interactive data portals, implementing API-driven search and data exchange, and integrating geospatial data layers into web applications.
- check_circle Experience working with Databricks, Esri ArcGIS Feature Services, OpenLineage, and metadata management solutions.
- check_circle Software development skills in Python, JavaScript (React, Angular, Vue), SQL, and RESTful API design.
- check_circle Proficiency in cloud environments such as AWS, Azure, or Google Cloud, and implementing scalable, data-driven applications.
- check_circle Ability to manage and prioritize complex project tasks.
Preferred qualifications
- Microsoft Certified Azure Data Engineer, AWS Certified Data Analytics Specialty, or Esri Web GIS Developer Certification.
- Portuguese or Spanish language skills.
- Experience with government IT programs and environments.
- None required; Active Secret or TS/SCI preferred
Tags & Focus Areas
Fulltime Remote Data Science Ai