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Contract Geospatial Data Engineer Jobs in New York

In this role, you will drive geospatial data and tooling needs for a large-scale project. You will be part of a team of GIS engineers responsible for sourcing geospatial data in many modalities, and ...

In this role, you will drive geospatial data and tooling needs for a large-scale project. You will be part of a team of GIS engineers responsible for sourcing geospatial data in many modalities, and ...

In this role, you will contribute to driving geospatial data and tooling needs for a large-scale project. You will be part of a team of GIS engineers responsible for sourcing geospatial data in many ...

DataBricks Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Contract, Fulltime Location: New York New York 10036 Duration: 6+ months Schedule: Will be required to work onsite 4 days a week; 40 hours per week As a Databricks Data Engineer, you will: As a ...

Azure Data Engineer

Manhattan, NY · On-site

$55 - $60/hr

A client of Innova Solutions is immediately hiring for a " Azure Data Engineer " Position Type: Full-Time Contract (W2) Role: " Azure Data Engineer " Duration: 6+ Months Contract Location : New York ...

In this role, you will drive geospatial data and tooling needs for a large-scale project. You will be part of a team of GIS engineers responsible for sourcing geospatial data in many modalities, and ...

Snowflake Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Title - Snowflake Data Engineer Contract - 12+ Months Location - NYC Onsite - Monday to Friday Note - This is a W-2 position, and we welcome candidates requiring H-1B transfer sponsorship to ...

In this role, you will contribute to driving geospatial data and tooling needs for a large-scale project. You will be part of a team of GIS engineers responsible for sourcing geospatial data in many ...

Data Engineer

New York, NY · On-site

$140K - $160K/yr

Experience: You bring 4+ years of experience in data engineering, with a strong technical ... inform contract design or shared savings arrangements. * Strategic problem-solver: You thrive in ...

Sr. Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The Senior Data Engineer will design and scale the data infrastructure supporting my clients ... Experience implementing data contracts and schema evolution strategies. * Experience with OpenShift ...

Developpeur SIG (niveau staff)

Manhattan, NY · On-site

$17 - $21.75/hr

You will be part of a team of GIS developers responsible for sourcing geospatial data in many modalities, and for building geospatial data automation and tooling in an AI/ML pipeline for new ...

Experience with geospatial data, mapping libraries (Mapbox, Leaflet, Deck.gl), or AIS/vessel ... engineering with a strong focus on React and Spring Boot for building and maintaining robust ...

Contract (6-12 months) Posted 7 months ago • via Errgo Mid Level Jersey City, NJ (Hybrid) $60-85/hr About the role The Data Engineer Consultant will help build and optimize critical data ...

About the Role We are looking for a product-focused data scientist and developer to join CREW ... MRV, wastewater modeling, process-based modeling, geospatial data analysis & modeling, physics ...

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Contract Geospatial Data Engineer information

What is a contract geospatial data engineer?

Contract Geospatial Data Engineers are professionals who specialize in managing, analyzing, and visualizing spatial data on a temporary or project-based contract. They use geographic information systems (GIS), remote sensing, and data engineering tools to process location-based data for various industries such as urban planning, environmental science, or logistics. Unlike full-time employees, contract engineers typically work for a set duration or on specific projects, offering flexibility to employers and a variety of work for the engineer. Their expertise helps organizations make data-driven decisions based on spatial analysis.

What are the key skills and qualifications needed to thrive as a contract geospatial data engineer?

To thrive as a Contract Geospatial Data Engineer, you need expertise in GIS principles, spatial analysis, data modeling, and proficiency with languages like Python or SQL, typically supported by a degree in geography, computer science, or a related field. Familiarity with technologies such as ESRI ArcGIS, QGIS, remote sensing platforms, and cloud-based geospatial systems, as well as certifications like GISP, is often required. Strong problem-solving, attention to detail, and effective communication skills help you interpret complex data and collaborate across project teams. These skills ensure accurate, efficient handling of geospatial data crucial for informed decision-making in diverse industries.

What are some common challenges faced by contract geospatial data engineers when working with diverse datasets from multiple sources?

Contract Geospatial Data Engineers often encounter challenges related to data integration and quality control, as datasets can come in various formats, projections, and levels of accuracy. Ensuring compatibility and consistency across sources requires strong attention to detail and proficiency with geospatial tools such as GIS software and scripting languages. Additionally, contractors must quickly adapt to the unique workflows and expectations of different clients or teams, making effective communication and project management skills essential. These challenges are balanced by the opportunity to work on a variety of projects and expand expertise in different geospatial domains.

What is the difference between Contract Geospatial Data Engineer vs GIS Analyst?

AspectContract Geospatial Data EngineerGIS 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 EnvironmentProject-based, technical, often remote or on-siteOffice or fieldwork, data analysis, map creation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, environmental agencies, consulting firms

The Contract Geospatial Data Engineer focuses on building and maintaining GIS data systems, often requiring programming skills, while a GIS Analyst primarily analyzes spatial data and creates maps. Both roles are essential in GIS projects but differ in technical depth and responsibilities.

What are the most commonly searched types of Geospatial Data Engineer jobs in New York?

The most popular types of Geospatial Data Engineer jobs in New York are:

What are popular job titles related to Contract Geospatial Data Engineer jobs in New York?

For Contract Geospatial Data Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Contract Geospatial Data Engineer jobs in New York look for?

The top searched job categories for Contract Geospatial Data Engineer jobs in New York are:

What cities in New York are hiring for Contract Geospatial Data Engineer jobs?

Cities in New York with the most Contract Geospatial Data Engineer job openings:

Infographic showing various Contract Geospatial Data Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


Job description

Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

In this role, you will drive geospatial data and tooling needs for a large-scale project. You will be part of a team of GIS engineers responsible for sourcing geospatial data in many modalities, and for building geospatial data automation and tooling in an AI/ML pipeline for new applications. 

In this role, you'll research and gather data for specific regions from different sources, including imagery and other raster data, vector data, and point clouds. You will find and acquire data from free/public domain sources, as well as form and drive partnerships with commercial data providers. You will be responsible for managing the coverage, freshness, quality, and cost of the sourced data. The most successful team members will have a working knowledge of disparate effective sources of data, and a curiosity for finding new ones. 

To prepare this data for AI/ML use, you'll build and use automated tools (e.g., incorporating open source libraries like GDAL and in-house tools) to clean, resize, reformat, and align it so it's ready for internal customers to use.You will also be responsible for tooling to automatically postprocess the output of a geospatial AI/ML pipeline for use by other teams. 

This role involves working closely with different teams in our organization. You'll partner with the AI/ML teams to supply diverse data they need for building new machine learning models, and with the Pipeline and Product teams to ensure they have the necessary data required. 

Responsibilities include, but not limited to: 

  • Aggregate data for target regions and ensure that a complete collection of data is available. 
  • Research open, public domain, and commercial sensor data sources to determine the areas, quality, and freshness of available data. 
  • Utilize open source (e.g. GDAL) and internally developed software tools to preprocess, align, crop, resample, and otherwise prepare data for use. We prefer open source tools over proprietary software, but understand that some software has no great open source equivalent. 
  • Contribute to our internal tools that process and source geospatial datasets. 
  • Partner with groups across the organization to understand needs for GIS data for AI/ML research. Coordinate with AI/ML team to provide diverse data for developing new machine learning algorithms, and the Pipeline and Product teams to provide data to roll out new regions. 
  • Partner closely with leadership to understand the high-level product vision. 
Qualifications
  • Masters degree in GIS, Computer Science, Engineering, Mathematics, or a related field 
  • 4+ years of relevant industry experience in a fast paced, high growth tech environment. 
  • Experience with GIS modalities and formats, including at least some of orthoimagery (e.g. GeoTIFF), point clouds such as LiDAR (e.g. LAS/LAZ), vector data (e.g. ESRI Shapefiles, GeoJSON, OSM), raster data storing elevation and terrain information such as DTM, DSM, and DEMs, and raster data storing landcover information. 
  • Software engineering experience, including designing and architecting software. Experience in Python for automation of common tasks and/or contributing to our existing tool palette is required. 

Desired Characteristics: 

  • Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills. 
  • Passion and curiosity for GIS and software engineering. 
  • Experience working with open-source GIS libraries and tools, including PROJ and GDAL, for spatial data processing, transformation, and analysis.Comfort with working outside of an ArcGIS-centric workflow. 
  • Experience with some flavor of Linux. Comfort with some flavor of a *nix shell environment (e.g. bash) is strongly preferred. 
  • Enthusiasm for automated development processes and systems. 

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $125,000 - $160,000 (bonus eligibility). 

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. 

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing [email protected].

For LA County and City Residents Only:  NBCUniversal will consider for employment  qualified applicants with criminal histories, or arrest or conviction records, in a manner  consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.