Full Stack Data Engineer

• Manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products.
• Develop and deploy full-stack applications that enable data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.
• Collaborate with other programmers and developers to ensure progress.
• Optimize database queries and indexing strategies for large-scale geospatial and structured datasets.
• Develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.
• Implement RESTful and GraphQL APIs for seamless data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources.
• Leverage the knowledge of peers to better understand trend and technology adoption patterns.

Active TC/SCI clearance.

Bachelor’s degree in Computer Science, Data Engineering, or a related field, or five (5) years of equivalent experience in full-stack development and data engineering.

AWS Certified Data Analytics –Specialty

ESRI ArcGIS Developer Certification

Expertise in building scalable, secure web applications, implementing metadata-driven search and retrieval features, and integrating APIs for seamless data interoperability is required.

Working knowledge of Esri ArcGIS Enterprise systems.

Experience with the following technologies: Python, Grunt, Node, AngularJS, ArangoDB, SQL, SQL Server, PostgreSQL, RDBMS.

Microsoft Certified: Azure Data Engineer Associate

Proficient in Data Lakes platforms such as Databricks, Kubernetes, and cloud-based data engineering.

Employment is contingent upon successful completion of a background check and drug screening.

Working knowledge of the following databases: Elastic, Dgraph, ArangoDB, SQL Server, and PostgreSQL.

Portuguese or Spanish language skills.

• Active TC/SCI clearance.
• ESRI ArcGIS Developer Certification
• Experience with the following technologies: Python, Grunt, Node, AngularJS, ArangoDB, SQL, SQL Server, PostgreSQL, RDBMS.
• Portuguese or Spanish language skills.
• Bachelor’s degree in Computer Science, Data Engineering, or a related field, or five (5) years of equivalent experience in full-stack development and data engineering.
• Expertise in building scalable, secure web applications, implementing metadata-driven search and retrieval features, and integrating APIs for seamless data interoperability is required.
• Working knowledge of Esri ArcGIS Enterprise systems.
• Working knowledge of the following databases: Elastic, Dgraph, ArangoDB, SQL Server, and PostgreSQL.
• Travel < 20% of the time
• Microsoft Certified: Azure Data Engineer Associate
• AWS Certified Data Analytics –Specialty
• Solve and articulate complex problems through application design, product development, and use experiences.
• Proficient in Data Lakes platforms such as Databricks, Kubernetes, and cloud-based data engineering.
• Demonstrate proficiency in DataLakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering.

NV5 offers a competitive compensation and benefits package including medical, dental, life insurance, FTO, 401(k) and professional development/advancement opportunities.