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Geospatial Data Engineer Remote Jobs in Colorado

Software Development Engineer

Westminster, CO ยท On-site +1

$86K - $115K/yr

Our solutions are deployed primarily in AWS cloud environments and support advanced data processing ... Knowledge of geospatial, geodesic, photogrammetric, or remote sensing technologies. * Strong ...

Principal Software Engineer

Denver, CO ยท Remote

$150K - $210K/yr

Net Software Engineer Remote - US-Based Only No visa sponsorship | No third-party agencies ** Must ... Drive end-to-end architecture across the full technology stack (UI, APIs, data, infrastructure ...

Product Designer

Broomfield, CO ยท Hybrid

$115K - $130K/yr

Create data visualization dashboards that surface actionable insights from massive geospatial ... Create engineering-ready specifications that minimize design-to-development friction. * Leverage AI ...

Product Designer

Broomfield, CO ยท On-site +1

$115K - $130K/yr

Remote may be considered for exceptional candidates. Key responsibilities & Expected Outcomes This ... geospatial and 3D infrastructure data through interfaces that leverage industry best practices ...

Showing results 41-60

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:

Senior Software Engineer / Data Engineer with Python

Zayo Group LLC

Boulder, CO โ€ข On-site, Remote

$98K - $136K/yr

Full-time

Re-posted 9 days ago


Job description

Company Description

Zayo provides mission-critical bandwidth to the world’s most impactful companies, fueling the innovations that are transforming our society. Zayo’s 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo’s communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises.

Do you dream of IP addresses and want to build tools for the networks that power the future? Are you passionate about automating repetitive tasks for users and delighting them with easy buttons? If so, then we want you on our team!

Zayo is seeking a talented Senior Software Engineer, Inventory to join our growing Network Automation team. In this role, you'll be a key player in building, scaling, and automating the next generation of our network tooling infrastructure.

Responsibilities:

  • Design, build, and maintain innovative tools and solutions to meet evolving business needs. This could be something as simple as UI data validation rule, or as complex as ML tools for extrapolating missing data.

  • Leverage open source automation tools and scripting languages in commercial tools (e.g., Python, Ansible, ServiceNow, Salesforce, etc) to validate human entered data and increase the overall amount of machine to machine communications and reduce human entered data.

  • Contribute to solving complex technical and process problems, such extracting variable data from pdfs.

  • Refactor and consolidate existing tools to be a cohesive suite of tools that improve ease of use and reduce swivel-chairing to get the job done.

  • Collaborate with cross-functional teams (DevOps, Security, SRE) to ensure security and optimal application performance.

  • Own new features through the project lifecycle, working collaboratively with a team of software developers to ensure timely delivery of high-quality software solutions.

  • Stay up-to-date on emerging network technologies and best practices, becoming the beacon for best practices and efficient processes through the organization.

Qualifications:

  • Bachelor's degree in Computer Science, Networking, or a related field (or equivalent experience.)

  • Minimum of seven (7) years of experience in software development with a variety of languages such as Python, Javascript, SQL, and GraphQL.

  • Experience working with various databases such as Postgres, MySQL, MongoDB, Oracle, and Neo4j with large and complex data sets.

  • Experience with network automation tools and scripting languages (Python, React, Javascript.)

  • Extensive experience in both building and integrating with RESTful APIs.

  • Experience with both the Salesforce and ServiceNow APIs.

  • Experience with async processing and message bus communications (RabbitMQ, Kafka.)

  • Strong abilities on the Linux command line, working with various flavors of Linux and Docker/Kubernetes.

  • Strong understanding of applied statistics and the ability to code systems that identify outlier behavior in large systems.

  • Previous experience delivering, maintaining and promoting a production software product.

  • Excellent communication, collaboration skills, and experience using a variety of remote collaboration tools including Jira, Confluence, Google Suite, Zoom, etc.

  • Experience using Git for code management, review and deployment.

  • A passion for tackling complex problems and combining technical and process solutions.

Preferred Experience:

  • Experience using common design patterns and ML clustering and ensemble methods to predict best values for missing data.

  • Understanding of network protocols (TCP/IP, BGP, OSPF, etc.) and network services (Internet, transport, etc.)

  • Experience extracting data from variable and complex data sources like pdf, shape files, and old flat files.

Estimated Base Salary Range: $98,500 - $136,900 USD/annually.

#LI-NP1

The base pay range shown is a guideline and reasonable estimate for this role. It takes into account the wide variety of factors that are considered in making compensation decisions. Actual compensation offered may vary from the posted range based upon geographic location, work experience, skill level, certifications, and other business and organizational needs. Non- sales roles may be eligible to participate in a discretionary annual incentive plan. Sales roles may be eligible to participate in a sales incentive plan.

Additionally, this position may be eligible for certain benefits, such as health insurance, life insurance, disability retirement plans, paid time off.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

Benefits, Rewards & Wellness

  • Excellent Health, Dental & Vision Insurance

  • Retirement 401(k) Savings Plan

  • Generous paid time off policy including paid parental leave

Zayo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.