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Geospatial Data Engineer Remote Jobs in Golden, CO

Releady

Data Engineer, Senior

Denver, CO · On-site +1

$140K - $170K/yr

The Data Engineer, Senior is a hands-on technical leader who ensures production readiness and ... Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247077 Location: Aurora,CO,US Share job via: Share Data Engineer, Senior The Opportunity: As a data engineer, you're excited at the prospect of unlocking the secrets ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247097 Location: Aurora,CO,US Share job via: Share Data Engineer, Senior The Opportunity: As a data engineer, you're excited at the prospect of unlocking the secrets ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247096 Location: Aurora,CO,US Share job via: Share Data Engineer, Senior The Opportunity: As a data engineer, you're excited at the prospect of unlocking the secrets ...

Lynker Corporation

Geospatial Platform Lead

Boulder, CO · On-site +1

... Engineering teams, and mentor team members. * Delivery: keep the platform's data discoverable ... Qualifications The Geospatial Platform Lead selected should have the following: * Bachelor's or ...

Lynker Corporation

Geospatial Platform Lead

Boulder, CO · On-site +1

$100K - $135K/yr

... Engineering teams, and mentor team members. * Delivery: keep the platform's data discoverable ... Qualifications The Geospatial Platform Lead selected should have the following: * Bachelor's or ...

Woolpert

Remote Sensing Technician

Denver, CO · On-site +1

Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services ... This position is responsiblefor sensor operation, data processing, and reporting for airborne ...

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 ...

Harper

Forward Deployed Engineer (Remote)

Denver, CO · Remote

$150K - $200K/yr

Remote, low travel, high ownership. We are looking for someone who can build, understand how ... Troubleshoot and resolve systems, data, integration, and operational issues during deployment and ...

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Showing results 21-40

All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Golden, CO

Geospatial Data Engineer Remote information

See Golden, CO salary details

$46K

$133.9K

$183.3K

How much do geospatial data engineer remote jobs pay per year?

As of Aug 22, 2026, the average yearly pay for geospatial data engineer remote in Golden, CO is $133,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,200.00 and $142,000.00 per year, depending on experience, location, and employer.

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 Golden, CO?

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

What cities near Golden, CO are hiring for Geospatial Data Engineer Remote jobs?

Cities near Golden, CO with the most Geospatial Data Engineer Remote job openings:

Geospatial Data Engineer Remote jobs near you
Infographic showing various Geospatial Data Engineer Remote job openings in Golden, CO as of June 2026, with employment types broken down into 29% Full Time, and 71% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $133,944 per year, or $64.4 per hour.

Data Engineer, Senior

Releady

Denver, CO • On-site, Remote

$140K - $170K/yr

Contractor

Re-posted yesterday

Job description

OVERVIEW

Releady is partnering with a leading healthcare technology company to hire a Data Engineer, Senior for its Data Services team. This organization provides the technology backbone and shared data infrastructure for nonprofit, community, and regional health plans nationwide, unifying clinical, claims, demographic, and provider data into a single governed platform that powers automation and AI deployment across core health plan operations.

This role will report to a Senior Manager or Manager within Data Solutions and will independently design, build, and operate complex data pipelines and cloud data solutions, embedding security, automation, and reliability throughout the software development lifecycle. The Data Engineer, Senior is a hands-on technical leader who ensures production readiness and operational excellence across the organization's data products, and who mentors other engineers while contributing to engineering best practices.

NOTE: *Must be eligible to work on W2 without sponsorship. Not eligible for C2C.

  • Pay Rate: $60–$70/hr
  • Duration: 6-month contract-to-hire
  • Location: Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR, AL, IL, VA, WI, TX, NY
RESPONSIBILITIES

Data Pipeline Design & Delivery

  • Design, build, and maintain complex data pipelines from development through production for multiple use cases.
  • Develop efficient, scalable, and cost-effective implementations by leveraging reusable frameworks and patterns.

DevSecOps & Quality Integration

  • Integrate security, automation, and quality controls throughout the software development lifecycle using DevSecOps best practices.
  • Implement and maintain automated testing, validation, and monitoring frameworks for data workflows.
  • Leverage AI-assisted approaches across development, testing, and deployment to reduce operational overhead and improve quality.

Operational Excellence

  • Drive incident management, root cause analysis, and deployment stability.
  • Monitor and manage software configuration changes to proactively address data reliability and customer experience issues.
  • Coordinate sustaining support for multiple data platforms or business processes within a cloud environment.
  • Perform monitoring, tuning, and optimization of data pipelines to ensure performance, availability, and efficient resource utilization.

Cross-Functional Collaboration & Leadership

  • Work within an agile / DevSecOps pod model alongside solution leads, data modelers, analysts, and business partners.
  • Translate complex functional requirements into robust technical designs.
  • Mentor and support Data Engineers through code reviews, knowledge sharing, and engineering guidance.
  • Apply domain knowledge of healthcare and enterprise IT trends to inform solution delivery.
QUALIFICATIONS
  • Bachelor's degree or equivalent experience, with a minimum of five years of relevant data engineering experience.
  • Strong hands-on experience with SQL, including scripting and automation.
  • Expertise with cloud platforms, Azure preferred, and services such as ADLS, Synapse, and Data Factory.
  • Hands-on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or Tidal.
  • Solid knowledge of data modeling using Data Vault 2.0, along with data integration, data architecture, warehousing, and data quality.
  • Experience implementing CI/CD pipelines using tools such as Bitbucket or GitHub.
  • Strong understanding of agile delivery methodologies and enterprise cloud integration.
  • Excellent communication skills, with the ability to translate technical solutions for non-technical stakeholders.
  • Experience in healthcare or other regulated environments is preferred; Epic ecosystem exposure is a plus.
  • Awareness of data governance, security standards, and production certification processes.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.