ZipRecruiter

Log In

2

Geospatial Data Engineer Remote Jobs in New Jersey

QCi

Hoboken, NJ or Remote with Travel Division : Revenue Department: Customer Success About Us: Quantum ... Collaborate cross-functionally with Sales, Engineering, Product, Data Science, and Marketing to ...

Carrington

Senior, Data Engineer

Cherry Hill, NJ · Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... Proficiency in programming languages is commonly used in data engineering, such as Python or Java ...

Cooper Cos.

Data Engineer Lead- PMS & QA

Livingston, NJ · On-site +1

$140.60K/yr

Trumbull, CT (on-site), Livingston, NJ (on-site) or Remote in US (if not residing in NY-metro area) The Data Engineer Lead - PMS & QA leads data analysis, visualization, and reporting of Medical ...

Quora

AI Automation Engineer -Remote

Paterson, NJ · 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

Elizabeth, NJ · 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

Newark, NJ · 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

Jersey City, NJ · 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 ...

next page

Showing results 1-20

People also search for

All JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in New Jersey

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 popular job titles related to Geospatial Data Engineer Remote jobs in New Jersey? For Geospatial Data Engineer Remote jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in New Jersey look for? The top searched job categories for Geospatial Data Engineer Remote jobs in New Jersey are:
What cities in New Jersey are hiring for Geospatial Data Engineer Remote jobs? Cities in New Jersey 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 New Jersey as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Solutions Sales Engineer (Remote)

QCi

On-site, Remote

Full-time

Posted 2 days ago

Job description

Job Title
Solutions Sales Engineer
Job Description
Location: Hoboken, NJ or Remote with Travel
Division: Revenue
Department: Customer Success
About Us:
Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications.
Position Description:
The Senior Solutions Sales Engineer is a high-impact, customer-facing role responsible for driving both technical adoption and revenue growth. This role blends solutions engineering, sales engineering, product expertise, Python prototyping, and hands-on deployments for QCi's quantum and quantum-inspired computing platforms.
You will support the full customer lifecycle: pre-sales discovery, demos, proof-of-concepts, deployment, onboarding, troubleshooting, and long-term adoption. You should be equally comfortable designing technical solutions, presenting to customers, and rolling up your sleeves during on-site installs for multi-day engagements. Ideal for someone who thrives in emerging technology, enjoys field work and collaboration, and can translate complex quantum concepts into practical business value.
Duties and Responsibilities:
  • Serve as the primary customer-facing technical lead, handling discovery, demos, support, and ongoing guidance.
  • Review, triage, and route support tickets while maintaining clear communication with customers and internal teams.
  • Develop Python-based proofs-of-concept to validate use cases and demonstrate platform capabilities.
  • Lead on-site deployments, integrations, and user onboarding (including multi-day customer visits).
  • Translate quantum and reservoir computing concepts into practical business value for diverse audiences.
  • Support the sales cycle through technical discovery, demos, solution design, and proposal inputs.
  • Represent QCi at conferences and events by delivering live demos and engaging prospects.
  • Capture customer feedback and insights to inform product improvements, documentation, and internal workflows.
  • Collaborate cross-functionally with Sales, Engineering, Product, Data Science, and Marketing to deliver tailored solutions and aligned customer experiences.

Required Skills and Experience:
  • Bachelor's degree in Computer Science, Engineering, Physics, Applied Mathematics, Information Technology, Natural Sciences, or related technical/business field.
  • Master's degree or quantum/AI focus preferred.
  • 5-8+ years in customer-facing technical roles (Solutions Engineering, Sales Engineering, Technical Account Management, Customer Success Engineering, Application Engineering).
  • Strong track record supporting sales cycles, delivering demos, and enabling technical decision-making.
  • Advanced Python proficiency, including scripting, prototyping, data libraries (pandas, numpy), and experience supporting embedded software or internal tools.
  • Understanding of resource access, system permissions, APIs, and basic architecture principles.
  • Experience in on-site deployments, system integrations, hardware/software configuration, and troubleshooting.
  • Confident public speaker capable of representing QCi at industry events and customer briefings.
  • Excellent written/verbal communication and the ability to break down complex concepts for any audience.
  • Strong organization, prioritization, and problem-solving skills in fast-moving environments.
  • Experience with collaboration/support tools such as Jira, Confluence, Salesforce, and ticketing systems.
  • Willingness to travel 30-50%, including multi-day onsite customer engagements (3-5 days).

Apply