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Geospatial Data Engineer Remote Jobs in Colorado

Maxar

Algorithm Engineer

Westminster, CO · On-site +1

$102K - $136K/yr

The ideal candidate will contribute to solving challenging problems involving imagery, spatial data ... Experience with geospatial, photogrammetric, or remote sensing applications. * Experience with ...

ESG - USA

GIS Tech I

Lakewood, CO · On-site +1

... remote team members based in Colorado and other locations. You will collaborate closely with ... Geospatial data quality assurance (QA) processes and review techniques. * Scripting concepts used ...

Maxar

Senior Algorithm Engineer

Westminster, CO · On-site +1

$124K - $165K/yr

... spatial data, and AI-driven workflows. Key Responsibilities * Design, develop, and optimize ... Preferred Qualifications * Experience with geospatial, photogrammetric, or remote sensing ...

Tetra Tech

GIS Manager

Colorado Springs, CO · On-site +1

$82K - $111K/yr

... geospatial data. Evaluate and implement emerging GIS technologies, automation tools, and best ... engineering services for projects worldwide. With 30,000 employees working together, Tetra Tech ...

Ennoble Care

Director of Data Engineering

Denver, CO · Remote

$117K - $141K/yr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... engineer faster and more reliably. You'll own our large-scale analytics platform and web app ...

UDR Inc

Senior Data Platform Engineer

Littleton, CO · Remote

$130K - $170K/yr

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team ... This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ...

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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 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 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 most commonly searched types of Geospatial Data Engineer jobs in Colorado? The most popular types of Geospatial Data Engineer jobs in Colorado are:
What are popular job titles related to Geospatial Data Engineer Remote jobs in Colorado? For Geospatial Data Engineer Remote jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Colorado look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Colorado are:
What cities in Colorado are hiring for Geospatial Data Engineer Remote jobs? Cities in Colorado with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you

Mainly Remote to Denver Data Engineer - Staff Consultant

Datalere

Denver, CO • On-site, Remote

$90K - $140K/yr

Full-time

Re-posted 24 days ago

Job description

We are looking for an experienced Data Engineer Consultant to join our team. The ideal candidate will possess strong SQL development skills, expertise in data visualization, and solid knowledge of dimensional modeling. As a Data Engineer Consultant, you will work closely with our clients to design, develop, and optimize their data infrastructure, ensuring the delivery of high-quality data solutions that meet business requirements.
This role is a mainly remote one for candidates who are relatively close to the Metro Denver area. Intermittent/occasional onsite work in Denver should be expected.
Please also note that we are somewhat stack agnostic, so those with classically defined data engineering skills (ETL Modeling and Design, Data Pipelines, Relevant Builds, etc.) are encouraged to apply regardless of tech stack.
Please also note we are unable to sponsor or take over sponsorship of an employment Visa at this time. This is to include sponsorship down the road.
Key Responsibilities:
  1. Data Infrastructure Development (ETL, SQL):
    • Design, build, and maintain scalable data pipelines and ETL processes tailored to client needs.
    • Develop and optimize complex SQL queries for data extraction, transformation, and loading.
    • Diagnose and troubleshoot data-related issues, providing quick and effective resolutions.
    • Analyze data workflows and identify areas for improvement, recommending and implementing solutions to optimize performance.
    • Utilize a proactive approach to foresee potential problems and address them before they impact clients' operations.
  2. Dimensional Modeling and Data Modeling:
    • Design and implement dimensional models to support data warehousing and business intelligence initiatives.
    • Design and implement different data modeling techniques to meet business' data demands that align with data architecture design.
    • Develop and maintain data schemas, ensuring data integrity and consistency for clients.
  3. Data Visualization:
    • Create and maintain dashboards and reports using data visualization tools to provide actionable insights.
    • Train clients on best practices for using data visualization tools to maximize value.
  4. Client Consultation:
    • Engage with clients to understand their data needs and business objectives.
    • Conduct detailed requirements analysis and provide recommendations for data infrastructure improvements.
    • Work closely with client teams, data scientists, analysts, and other stakeholders to understand data needs and provide technical support.
    • Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.

Qualifications:
  • Bachelor's degree in computer science, Information Technology, or a related field.
  • 3+ years of experience in data engineering, data warehousing, or a similar role.
  • Strong proficiency in SQL
  • Proven experience with data visualization tools and theory.
  • In-depth knowledge of dimensional modeling concepts and techniques.
  • Familiarity with ETL tools and processes.
  • Strong problem-solving skills and attention to detail
  • Experience with cloud-based data platforms
  • Excellent communication and collaboration skills, with the ability to work effectively with clients.

The desired salary range for this position is $90,000 - $140,000 per year. This is a full time role with the practice.
About Us
At Datalere, we work with our clients to transform their enterprise through the use of modern compute technologies and proven deployment processes providing cost effective durable solutions for the competitive world.
If you are seeking new challenges, interested in staying up to date with the latest releases and can deliver uncompromised service to our customers, then we'd like to hear from you. If you are interested and meet the above qualifications, please submit your resume and cover letter indicating your interest to join our team.

Apply