2

Geospatial Data Engineer Remote Jobs in Rives Junction, MI

... and engineering teams to integrate AI solutions with enterprise data platforms, cloud ... Based on this role's business requirements, this is a remote position open to qualified applicants ...

This is a primarily remote role supporting enterprise Epic implementation, with minimal travel and ... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ...

Hospital Billing Operator

Lansing, MI · Remote

$18.50 - $23.75/hr

This is a primarily remote role supporting an enterprise Epic implementation, with minimal travel ... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ...

Remote, United States Employment Type: FullTime Location Type: Remote Department Product ... You and your team will collaborate across Product, Marketing, Sales, Data Science, and Engineering ...

Jackson, MI OR Fully Remote Qualifications: * Minimum, 1-2 years of construction cost estimating ... Interface with owner, A/E, and other contractors to provide engineering and cost data regarding ...

Technical Project Manager

Lansing, MI · On-site +1

$50 - $62/hr

Remote Reference ID: JN -042026-106675 Date Posted: 05/29/2026 Shortcut: * Description ... The role requires coordination across multiple engineering teams, hands-on project planning, and ...

Participate in field visits to collect site data (photos, measurements) as needed * Use design ... Exposure to utility or engineering projects through internships or coursework * Familiarity with ...

next page

Showing results 1-20

People also search for

Geospatial Data Engineer Remote information

See Rives Junction, MI salary details

$40.2K

$117.2K

$160.4K

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

As of Jun 18, 2026, the average yearly pay for geospatial data engineer remote in Rives Junction, MI is $117,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $124,200.00 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 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 cities near Rives Junction, MI are hiring for Geospatial Data Engineer Remote jobs? Cities near Rives Junction, MI with the most Geospatial Data Engineer Remote job openings:
Consulting Principal, AI Architect

Consulting Principal, AI Architect

Cognizant

Lansing, MI • Remote

$122K - $194K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

About Cognizant Consulting

Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we’re looking for our next colleague who’ll join us in shaping the future of business. Could it be you?

About the role

As an Consulting Principal for AI & GenAI Platforms, you will make an impact by leading client-facing AI transformation initiatives focused on generative AI, retrieval-augmented generation (RAG), and advanced data and AI platform solutions within highly regulated environments. You will be a valued member of Cognizant Consulting’s AI and Data practice and work collaboratively with clients, consulting leaders, architects, and delivery teams to design and deliver scalable, production-grade AI solutions.

In this role, you will:
  • Lead the design and delivery of generative AI and agent-enabled solutions, including context engineering, RAG pipelines, and AI platform architectures for enterprise clients.
  • Partner with client stakeholders to translate business objectives into actionable AI use cases, solution roadmaps, and measurable outcomes.
  • Guide end-to-end solution delivery from discovery through implementation, ensuring AI systems are secure, compliant, and fit for regulated environments.
  • Collaborate with cross‑functional consulting and engineering teams to integrate AI solutions with enterprise data platforms, cloud infrastructure, and core systems.
  • Support business development activities by contributing to proposals, solutioning, statements of work, and client presentations related to AI and GenAI engagements.
Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work‑life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you must have to be considered
  • 12+ years of experience across consulting, digital transformation, data engineering, or AI/analytics, with demonstrated experience delivering client‑facing consulting engagements.
  • Hands‑on experience designing and delivering generative AI solutions, including RAG architectures, vector databases, and modern AI platforms.
  • Strong knowledge of cloud platforms (AWS, Azure, or GCP) and enterprise data platforms such as Snowflake, Databricks, or Microsoft Fabric.
  • Proven ability to work directly with client stakeholders to define requirements, manage solution delivery, and communicate complex technical concepts clearly.
  • Experience operating within regulated industries such as financial services, healthcare, or insurance.
These will help you succeed
  • Familiarity with AI governance, evaluation frameworks, and responsible AI practices, including model risk, bias, and explainability considerations.
  • Experience contributing to consulting proposals, solution architectures, and go‑to‑market initiatives.
  • Exposure to MLOps or LLMOps practices, including CI/CD, monitoring, and model lifecycle management.
  • Strong collaboration skills and the ability to mentor junior consultants or technical team members.
  • Excellent communication and presentation skills, with the ability to engage both technical and non‑technical audiences.

We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Compensation

The annual base salary for this position is between $122,400 – $194,000, depending on experience and qualifications.

This position is eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits
  • Medical, dental, vision, and life insurance
  • 401(k) plan and contributions
  • Employee stock purchase plan
  • Employee assistance program
  • Paid holidays plus paid time off (PTO)
  • Paid parental leave and fertility assistance
  • Learning and development programs and certifications

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

#J-18808-Ljbffr

What Cognizant employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom