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Geospatial Data Engineer Remote Jobs in Michigan

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be ... The location may be based in Detroit or fully remote. * Occasional evening, weekend, and holiday ...

Dart Container

Associate Data Engineer

Mason, MI · On-site +1

$14 - $18.25/hr

On-site role | No relocation or remote work available This role is not eligible for visa ... in data engineering? Apply today. Overview: Dart makes everyday products that give people the ...

Dart Container

Associate Data Engineer

Mason, MI · On-site +1

$14 - $18.25/hr

On-site role | No relocation or remote work available This role is not eligible for visa ... in data engineering? Apply today. Overview: Dart makes everyday products that give people the ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

We're looking for a Principal Data Engineer to own the technical direction and execution of our data engineering platform. This role is responsible for setting architectural direction for the data ...

System One

Palantir Foundry Data Engineer

Detroit, MI · On-site +1

Detroit ,MI OR Remote Duration - Contract-to-Hire after 6 Months Employment Type - This is for W2 ... data engineering, particularly with PySpark, Python and SQL. • Experience designing and ...

Wwwinc

Lead Azure Data Engineer

Rockford, MI · Remote

$91.30K - $120.20K/yr

The Lead Azure Data Engineer operates as a technology expert and architect responsible for the ... Must be located in Eastern on Central Time Zones. #LI-Remote #LI-MM1 Salary Minimum $128,000.00 ...

Outlier AI

OpenClaw Engineer (Remote)

Detroit, MI · Remote

Whether you are a passionate orchestration guru or experienced software developer -- we want you to ... Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

Quora

AI Automation Engineer -Remote

Lansing, MI · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Allendale, MI · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Warren, MI · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Detroit, MI · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Grand Rapids, MI · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

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Geospatial Data Engineer Remote information

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

Research Engineer, Remote Sensing

SRI International

Ann Arbor, MI • On-site, Remote

$115.71K - $172.12K/yr

Full-time

Posted 6 days ago

Job description

Overview
From our Ann Arbor, MI office, Research Engineers will participate in multi-disciplinary, collaborative teams and contribute to the development of state-of-the-art remote sensing solutions and surveillance technologies. Relevant sensor types include electro-optic/infrared and active/passive radar imaging systems. Projects will include the development of advanced sensor concepts to exploit new and unique phenomenology, and the associated design and validation activities. Check us out!
You will make leading-edge contributions to existing programs and help to shape the direction of future research efforts. You will have the opportunity to develop into a Principal Investigator, designing new research paths, supervising research staff, and interacting with research sponsors to fund new program directions. Most programs are executed in small, highly collaborative groups.
From applied research to product development, the Advanced Technology and Systems Division (ATSD) manages complex projects for government and commercial clients. The vision of ATSD is to create competitive advantages for our customers by inventing new technology and concepts resulting in disruptive, low cost, and high-performance solutions. The division advances the state of the art in diverse areas such as radar and electronic warfare; novel imaging technology; robotics; quantum sensing and metrology; marine technology; and applied optics.
Responsibilities
  • Work with an interdisciplinary team developing algorithms for exploitation of sensor data in geospatial contexts.
  • Formation and analysis of imagery products, development of advanced signal processing tools for image understanding and imagery exploitation, and the integration of data from multiple sources to enhance understanding.
  • Programming, algorithm development, design and execution of Electro-Optic and/or radar computational models & simulations, and analysis of results.
  • Participate in laboratory work, collecting and analyzing sensor data.
  • Additional tasks include defining software and system interfaces, system integration and testing, and field support to experiments and demonstrations. Anticipated work products include written reports and preparation and delivery of presentations and project

Qualifications
  • Ph.D. degree in a relevant field; or Masters in related field with 3 years experience or Bachelors in related field with 5+ years of related experience.
  • U.S. Citizenship with ability to obtain and maintain a U.S. government security clearance required.
  • Ability for occasional travel associated with meetings and/or data collections

Desired Skills:
  • Experience associated with radar, imaging sensors, image processing, and signal/data processing applications.
  • Experience with software development in C and/or C++ and algorithm implementations in Python/MATLAB.
  • Experience with Unix/Linux operating system
  • Solid analytical ability.

The salary range is: $115,710-$172,115. Salary ranges will vary and are based on several factors, including geographic location, market competitiveness and equity amongst internal employees in similar roles. Positions may also qualify for SRI's Pay for Outstanding Performance program or the annual Performance Based Compensation program. SRI also has a competitive benefits package, to view details please go to https://www.sri.com/resources/benefits/. SRI will accept applications until the position is filled.
SRI is an independent nonprofit research institute headquartered in Menlo Park, Calif., with a rich history of supporting government and industry. We create and deliver world-changing solutions for a safer, healthier, and more sustainable future. For more than 75 years, we have collaborated across technical and scientific disciplines to discover and develop groundbreaking products and technologies and bring innovations and ideas to the marketplace.

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