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Geospatial Data Engineer Remote Jobs in Vermont (NOW HIRING)

Vultus Inc

Databricks Engineer

Johnson, VT · On-site +1

... Remote / Hybrid Job Summary We are looking for an experienced Databricks Engineer to design, develop, and maintain scalable data engineering solutions using Databricks and cloud-based data platforms.

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... Familiarity with digital engineering, PLM, or engineering data management concepts is a plus.

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... Familiarity with digital engineering, PLM, or engineering data management concepts is a plus.

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... Familiarity with digital engineering, PLM, or engineering data management concepts is a plus.

New

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Geospatial Data Engineer Remote information

What is a geospatial data engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the typical challenges faced by remote geospatial data engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.

What are the key skills and qualifications needed to thrive as a geospatial data engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What is the difference between Geospatial Data Engineer Remote vs GIS Analyst?

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What are popular job titles related to Geospatial Data Engineer Remote jobs in Vermont?

For Geospatial Data Engineer Remote jobs in Vermont, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Engineer Remote jobs in Vermont look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Vermont are:

What cities in Vermont are hiring for Geospatial Data Engineer Remote jobs?

Cities in Vermont with the most Geospatial Data Engineer Remote job openings:

Geospatial Data Engineer Remote jobs near you

Databricks Engineer

Vultus Inc

Johnson, VT • On-site, Remote

Full-time

Posted 4 days ago

Job description

Databricks Engineer

Experience

3–6 Years

Job Type

Full-Time

Job Location

Hyderabad / Remote / Hybrid

Job Summary

We are looking for an experienced Databricks Engineer to design, develop, and maintain scalable data engineering solutions using Databricks and cloud-based data platforms. The candidate will work on data pipelines, ETL/ELT processes, data transformation, and analytics solutions.

Primary Skills
  • Databricks
  • Apache Spark / PySpark
  • Python
  • SQL
  • Data Engineering
  • ETL / ELT
  • Delta Lake
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • Data Pipelines
  • Cloud Data Platforms
Secondary Skills
  • Azure / AWS / GCP
  • Data Warehousing
  • Apache Kafka
  • Git / GitHub
  • CI/CD
  • REST APIs
  • Terraform
  • Power BI
  • Performance Optimization
Key Responsibilities
  • Develop and maintain scalable data pipelines using Databricks and PySpark.
  • Design ETL/ELT workflows for processing large datasets.
  • Build and optimize Delta Lake tables and data processing jobs.
  • Develop data solutions using cloud platforms such as Azure, AWS, or GCP.
  • Integrate data from multiple sources into data lake and data warehouse environments.
  • Optimize Spark jobs and Databricks workloads for performance and cost.
  • Implement data quality, validation, and error-handling processes.
  • Collaborate with data scientists, analysts, and application teams.
  • Implement CI/CD practices for data engineering workflows.
  • Troubleshoot production data pipelines and resolve data-related issues.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 3+ years of experience in Data Engineering.
  • Strong hands-on experience with Databricks, PySpark, Python, and SQL.
  • Experience working with cloud data platforms.
  • Good understanding of data modeling, ETL/ELT, and data warehousing concepts.
  • Strong analytical and problem-solving skills.
Preferred Certifications
  • Databricks Certified Data Engineer
  • Microsoft Azure Data Engineer Associate
  • AWS Certified Data Engineer
Salary

Competitive / Based on Experience