Full Stack Data Engineer at Nv5 in Miami, FL | Kablio

Role

Description

data pipelines

api development

ci/cd

kubernetes deployments

query optimization

full‑stack

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

Requirements

python

kubernetes

azure certified

aws certified

arcgis

active clearance

Demonstrate proficiency in DataLakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based 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.
Experience with the following technologies: Python, Grunt, Node, AngularJS, ArangoDB, SQL, SQL Server, PostgreSQL, RDBMS.
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.
Microsoft Certified: Azure Data Engineer Associate
Working knowledge of Esri ArcGIS Enterprise systems.
Portuguese or Spanish language skills.
Active TC/SCI clearance.
ESRI ArcGIS Developer Certification
Working knowledge of the following databases: Elastic, Dgraph, ArangoDB, SQL Server, and PostgreSQL.
Proficient in Data Lakes platforms such as Databricks, Kubernetes, and cloud-based data engineering.
AWS Certified Data Analytics –Specialty
Solve and articulate complex problems through application design, product development, and use experiences.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

basic background check required for access to us military bases
employment contingent upon successful completion of background check and drug screening

Company

Overview

Founded in 2015

Year Established

The company was established in 2015, marking its entry into the engineering and consulting industry.

offers a broad spectrum of engineering, consulting, and technical services
focuses on infrastructure, energy, and industrial sectors, operating on large-scale projects across the globe
expertise spans civil engineering, building systems, water resources, and environmental services
helps clients with everything from large infrastructure development to specialized environmental solutions
notable projects include transportation networks, utilities, water treatment facilities, and urban developments
continues to expand through strategic acquisitions, bringing more expertise into the fold
known for leveraging advanced technologies and innovative solutions to deliver high-quality results

Culture + Values

Commitment to excellence
Integrity and transparency
Collaboration and teamwork
Client-centered focus
Innovation and creativity
Respect for people and communities

Environment + Sustainability

Net Zero by 2050

Sustainability Goal

Achieving net zero emissions to minimize environmental impact.

Committed to environmental sustainability and reducing environmental impact.
Works on projects contributing to sustainable infrastructure and green energy solutions.
Integrates sustainable practices into engineering, architecture, and construction services.
Implements energy-saving strategies across operations and service offerings.

Inclusion & Diversity

Women Represent 25%

Workforce Diversity

Women make up 25% of the workforce as of 2023.

Focused on fostering an inclusive culture where diverse talent is valued.
Actively works to increase representation across all levels of the organization.
Has specific gender and diversity recruitment goals to address underrepresentation in certain sectors.
Supports employee resource groups that foster networking and career development opportunities for diverse groups.

Articles

Careers

Investor Newsroom

NV5 Geospatial Careers

Role

Description

data pipelines

api development

ci/cd

kubernetes deployments

query optimization

full‑stack

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

Requirements

python

kubernetes

azure certified

aws certified

arcgis

active clearance

Demonstrate proficiency in DataLakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based 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.
Experience with the following technologies: Python, Grunt, Node, AngularJS, ArangoDB, SQL, SQL Server, PostgreSQL, RDBMS.
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.
Microsoft Certified: Azure Data Engineer Associate
Working knowledge of Esri ArcGIS Enterprise systems.
Portuguese or Spanish language skills.
Active TC/SCI clearance.
ESRI ArcGIS Developer Certification
Working knowledge of the following databases: Elastic, Dgraph, ArangoDB, SQL Server, and PostgreSQL.
Proficient in Data Lakes platforms such as Databricks, Kubernetes, and cloud-based data engineering.
AWS Certified Data Analytics –Specialty
Solve and articulate complex problems through application design, product development, and use experiences.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

basic background check required for access to us military bases
employment contingent upon successful completion of background check and drug screening