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Geospatial Data Engineer Remote Jobs in Keyport, NJ

KPMG LLP

Data Engineer Contractor - Talent Reserve

New York, NY · On-site +1

$125K - $150K/yr

Data Engineer We are seeking highly skilled Data Engineers Contractors for upcoming assignments. If ... Roles can vary by Hybrid, Remote, Onsite Key Responsibilities: * Data Pipeline Architecture: Design ...

Radar Labs, Inc

Senior / Staff Backend Engineer, Maps

New York, NY · On-site +1

$200K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one ... Our geospatial data pipelines are written in Scala and Python on Airflow, bringing many commercial ...

New

Pfizer

Medical Analytics Data Engineer

New York, NY · On-site +1

$124K - $207K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Relevant certification &/or work experience in data engineering * BA/BS degree with 6+ years ... Remote * Eligible for Relocation Package: No #LI-PFE The annual base salary for this position ...

YO AI Labs

Senior Software Engineer - Remote

New York, NY · Remote

$134K - $176K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

B Lab

Junior Data Engineer (New York, NY)

New York, NY · On-site +1

$62K - $83K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

While this is a remote-first opportunity, the candidate filling this role must be a resident of ... You will absorb data engineering work currently split between the Senior Machine Learning Engineer ...

1 point system

Healthcare Data Engineer

New York, NY · Remote

$117K - $140K/yr

Maintain a strong knowledge of medical claims, member data, and provider data. Agile Development ... Comfort working with remote team members located in the US, India, or other geographies.

NinjaOne

Senior Data Engineer | Emerging Products

New York, NY · On-site +1

$116K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...

NinjaOne

Senior Data Engineer | Emerging Products

New York, NY · On-site +1

$116K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Keyport, NJ

Geospatial Data Engineer Remote information

See Keyport, NJ salary details

$45.9K

$133.9K

$183.3K

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

As of Aug 16, 2026, the average yearly pay for geospatial data engineer remote in Keyport, NJ is $133,932.00, 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 cities near Keyport, NJ are hiring for Geospatial Data Engineer Remote jobs?

Cities near Keyport, NJ with the most Geospatial Data Engineer Remote job openings:

Geospatial Data Engineer Remote jobs near you

Data Engineer Contractor - Talent Reserve

KPMG LLP

New York, NY • On-site, Remote

$125K - $150K/yr

Contractor

Re-posted 9 days ago

Job description

Data Engineer
We are seeking highly skilled Data Engineers Contractors for upcoming assignments.
If selected, the role will involve building the next generation of scalable data pipelines and enterprise architectures. In this role, you will work at the intersection of data engineering, data science, and advanced analytics, utilizing modern cloud data platforms to drive business intelligence initiatives.
We are currently hiring for two distinct experience tracks: highly hands-on technical contributors (3-7 years of experience) and technical leads (8+ years of experience) who can guide offshore teams and serve as the primary technical face for client engagements.
Roles can vary by Hybrid, Remote, Onsite
Key Responsibilities:
  • Data Pipeline Architecture: Design, build, and maintain scalable, robust data pipelines and enterprise data architectures utilizing Databricks, Snowflake, and dbt.
  • Data Modeling & Transformation: Transform and model complex, large-scale datasets within Snowflake and Databricks using dbt to support advanced analytics and business intelligence initiatives.
  • Distributed Processing & Optimization: Leverage Databricks for large-scale, distributed data processing while ensuring data quality, reliability, and continuous performance optimization across cloud data platforms.
  • Cross-Functional Collaboration: Partner with data scientists, analysts, and software engineers to translate business requirements into efficient, end-to-end data engineering solutions.
  • Technical Leadership & Client Engagement (For 8+ Years Experience): Act as the primary technical point of contact for client engagements, driving technical strategy and leading offshore engineering resources to deliver high-quality solutions.
  • Act with integrity, professionalism, and personal responsibility to uphold the firm's respectful and courteous work environment.

Required Skills & Qualifications:
  • Experience Level: Minimum three years of recent experience for hands-on engineering roles, OR minimum eight years of recent experience for candidates stepping into technical leadership and client-facing capacities.
  • Core Programming: Advanced proficiency in Python and PySpark.
  • Modern Data Stack: Extensive hands-on experience with Databricks, Snowflake, and dbt (data build tool).
  • Data Integration: Experience orchestrating data workflows using Azure Data Factory (ADF).
  • Advanced Analytics: Familiarity with Generative AI concepts and Data Science workflows to effectively partner with cross-functional analytics teams.
  • Architecture: Strong foundational knowledge of general Data Engineering & Architecture best practices, data modeling, and distributed processing.

KPMG LLP ("KPMG") seeks a contractor in the United States to provide service to KPMG through one of our contracted employer/agency service providers. All applicants for any KPMG role are expected to act with integrity, professionalism, and personal responsibility to uphold the firm's respectful and courteous work environment. All applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).
Nothing herein shall be deemed to create an employer-employee relationship between contractor and KPMG, nor shall contractor be considered a representative or agent of KPMG.
KPMG LLP and its subsidiaries comply with all local/state regulations in regard to displaying pay rate ranges. The pay rate range(s) displayed is/are specifically for those contracted who will perform work in or reside in the location(s) listed, if selected for the role. Pay is determined based on a variety of factors including market data, ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD, technology), and specific location, for example. Additionally, applicants may be required to apply and become employed by a service provider utilized by KPMG, and final pay rate(s) and/or eligibility for additional benefits may be determined by such provider.
KPMG LLP, its subsidiaries, and its agency service providers (including, but not limited to, MBO Partners Inc., Magnit LLC, and TalentBurst Inc.) are equal opportunity employers/contractors. All qualified applicants are considered without regard to race, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, physical or mental handicap unrelated to ability, pregnancy, veteran status, unfavorable discharge from military service, genetic information, or other legally protected status.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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