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Geospatial Data Engineer Remote Jobs in Hamden, CT

Welo Data

English AI Maps Trainer

Bridgeport, CT · Remote

$20.30/hr

Assess user-focused elements like viewport framing, geospatial accuracy, and content relevance ... Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis.

Posted today

Owl Cyber Defense

Sr FPGA Engineer II

Danbury, CT · On-site +1

$140K - $180K/yr

Remote (For those in Eastern or Central time zones) Owl Cyber Defense is a leader and trusted ... Owl's product lines of cross domain, data diode, and portable media solutions provide the strongest ...

Hitachi

Field Service Engineer - AIS

Danbury, CT · Remote

$66K - $82K/yr

Remote - Pennsylvania, United States of America Job ID: R0095755 Date Posted: 2026-02-05 Company ... Candidate data is processed in accordance with applicable data protection and employment laws as ...

Owl Cyber Defense

Principal FPGA Engineer

Danbury, CT · On-site +1

$160K - $210K/yr

Remote (for those in Eastern or Central time zones) Owl Cyber Defense is a leader and trusted ... Owl's product lines of cross domain, data diode, and portable media solutions provide the strongest ...

ABB

Senior Project Engineer

New Britain, CT · Remote

$101K - $132K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Hamden, CT

Geospatial Data Engineer Remote information

See Hamden, CT salary details

$44.2K

$129K

$176.5K

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

As of Aug 28, 2026, the average yearly pay for geospatial data engineer remote in Hamden, CT is $128,963.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,700.00 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 job categories do people searching Geospatial Data Engineer Remote jobs in Hamden, CT look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Hamden, CT are:

What cities near Hamden, CT are hiring for Geospatial Data Engineer Remote jobs?

Cities near Hamden, CT with the most Geospatial Data Engineer Remote job openings:

Geospatial Data Engineer Remote jobs near you

Manager, Data Architect (Remote)

Raytheon Technologies

Farmington, CT • On-site, Remote

$67.50 - $87/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

RTX rating

8.2

Company rating: 8.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

38th of 72 rated aerospace companies

Job description

Date Posted:
2026-08-20
Country:
United States of America
Location:
US-CT-FARMINGTON-0004 ~ 4 Farm Springs Rd ~ 4 FARM SPRINGS
Position Role Type:
Remote
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Security Clearance Type:
None/Not Required
Security Clearance Status:
Not Required
At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.
RTX is seeking a skilled and experienced Manager, Workforce Intelligence (Data Architect) to join our team.
What You Will Do:
  • Design and maintain scalable HR data architecture in Snowflake, including databases, schemas, data models and semantic views.
  • Build and optimize ETL/ELT pipelines using Matillion and Snowflake to support reporting, analytics and operational needs.
  • Define and enforce data governance, data quality, consistency, lineage, naming standards and compliance with regulatory requirements for HR data.
  • Develop and maintain data controls to ensure the integrity and reliability of data across systems and workflows.
  • Implement and manage security policies for user views and semantic layers, including role-based access and data protection.
  • Manage SQL Server environments used for metadata management, including performance tuning and reliability.
  • Establish DevOps practices (version control, deployment automation, environment promotion) for schemas, pipelines and data models.
  • Partner with Product and Delivery, BU Consultants and BI development teams to translate requirements into scalable, governed data solutions.
  • Provide consultation and guidance on data architecture, integration and analytics capabilities.
  • Create and maintain comprehensive documentation for data architecture designs, processes, governance policies, and integrations.
  • Support AI-ready and agentic use cases by organizing trusted semantics, metadata and reusable data products.

Qualifications You Must Have:
  • Typically requires: A University Degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience
  • 7+ years of experience in data architecture or data engineering.
  • Strong hands-on experience with Snowflake (design, modeling, performance) and cloud data services.
  • Experience building API Integration, ETL/ELT pipelines.
  • Strong SQL Server skills (design, indexing, performance tuning).
  • Proven experience with data governance, metadata management and data security.
  • Experience with version control (e.g., Git) and automated deployment for data assets.
  • Strong communication and stakeholder collaboration skills.

Qualifications We Prefer
  • Excellent communication and coordination skills to work effectively with technical and non-technical stakeholders.
  • Certification in Snowflake or relevant cloud data services.
  • Scripting skills (e.g., Python, Shell) for automation.
  • Familiarity with API integrations and microservices architecture.
  • Knowledge of cloud platforms (Preferably Azure).
  • Experience with HR systems such as Workday

Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:
Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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About RTX

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Industry

Guided missile and space vehicle manufacturing, it services, aerospace product and parts manufacturing and engineering professional services

Company size

10,000+ Employees

Headquarters location

Waltham, MA, US

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