Geospatial

Geospatial Engineer Jobs

26 jobs found

3d ago

Software Engineer

KAUST King, NC

King, NC

3d ago

Full time Backend Developer Arcgis Server Data Engineer

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Job Description

Join KAUST in King, NC for an onsite Software Engineer role focused on marine and ocean sciences. You will help build and run software and database systems that support the Red Sea Research Center and the IOP Ocean Observing System, including data streams, workflows, archiving, and web/GIS connectivity. The position includes supervisory responsibility for a supporting staff member who facilitates the user interface.

What you’ll work on

Develop and improve the group’s web application and database system for archiving historical, present, and future marine and oceanographic research data sets.
Create workflows to ingest data streams from oceanographic autonomous vehicles, remote sensor sites, and other instrumentation into the database.
Build and maintain interfaces to distribute scientific data sets to adjacent systems, including ArcGIS Server and the Red Sea model.
Coordinate software development with scientists, IT Operations, GIS, and visualization specialists.
Own the full software development lifecycle, from design through deployment, following a “You Build It, You Run It” approach.
Partner with scientists and engineers to develop new capabilities for data measurement, telemetry, assimilation into operational models, and archiving.
Work with external collaborators to support exchange and linkage with external databases.

Requirements

Bachelor Degree in computer science, engineering, or a related discipline.
Experience building scalable software and meeting user requirements.
2 to 5 years of experience in a related effort.

Technology focus

ArcGIS Server

Location

King Abdullah University of Science and Technology (King, NC). Onsite role.

Application process

KAUST is conducting this search through Interfolio’s Faculty Search. Applicants receive a free Dossier account and can submit all application materials, including confidential letters of recommendation, at no cost.

Open date: Sep 06, 2021

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9d ago

Project Water Resources Engineer/Scientist

Stone Environmental Inc Montpelier, VT

Montpelier, VT

9d ago

$73k - $87k/yr Full time AutoCAD AutoCAD Civil 3D CAD

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Job Description

Stone Environmental Inc is seeking a Project Water Resources Engineer/Scientist to help advance water resources and stream restoration initiatives across the full project lifecycle. This onsite role supports work from early scoping and design through permitting and construction oversight, with opportunities to collaborate across technical teams and clients. The position includes hydrologic and hydraulic analysis, field work coordination, and business development activities.

Location and Salary

Location: Montpelier, VT (onsite)
Base annual pay: USD 73,000–87,000 per year

Role Overview

In this position, you will support stream restoration and related water resources efforts, including technical design and analysis, permit submissions, and coordination of field assessments. You will also contribute to proposal and partnership activities that support the growth of the firm’s project pipeline. Work may involve travel within and outside Vermont based on project and business development needs.

Responsibilities

Collaborate with project managers, junior staff, and interdisciplinary teams to meet technical, schedule, budget, and quality goals.
Develop stream restoration, dam removal, floodplain reconnection, aquatic organism passage, stormwater, and/or site civil designs using AutoCAD Civil 3D, HydroCAD, HEC-RAS, or similar tools.
Conduct hydrologic and hydraulic analyses and help communicate results to project teams, clients, and regulatory agencies.
Prepare or support federal, state, and local permit submittals.
Scope, manage, and deliver multiple concurrent assignments at the task and project level.
Participate in project meetings and technical discussions with clients, stakeholders, and regulatory agencies.
Lead and/or coordinate field work, including site reconnaissance, topographic surveys, stream geomorphic assessments, and aquatic organism passage assessments.
Support business development through project scoping, proposal development, professional conferences, local professional organizations, and communication with project partners.
Stay current with stream restoration practices, fluvial geomorphology, and relevant design methods.
Travel within and outside Vermont as needed to support project work and business development.

Requirements

Education: B.S. in civil engineering, environmental engineering, environmental science, hydrology, or a closely related discipline, with demonstrated interest and experience in water resources.
Experience: 4–8 years of relevant full-time water resources, stream restoration, or environmental consulting experience (minimum 4 years).
Strong oral, written, and interpersonal communication skills.
Ability to troubleshoot, problem solve, and deliver detailed, high-quality work.
Capability to work independently and collaboratively.
Demonstrated expertise in water resources, stream restoration, flood mitigation, and stormwater design.
Experience with hydrologic and hydraulic analysis and modeling, GIS/spatial analysis, and interpreting complex datasets.
Familiarity with state and federal environmental regulations and permitting processes.
Ability to scope, organize, and deliver multiple assignments.
Demonstrated field work experience, including familiarity with QA/QC practices, and willingness to conduct fieldwork in varied conditions.
Eligibility: Legal authorization to work in the United States, valid driver’s license, and ability to travel to project sites.

Technologies

AutoCAD Civil 3D
HydroCAD
HEC-RAS
GIS

Benefits

Employee ownership
Holistic benefits package

Helpful Skills and Interests

Relevant professional licensure or certification, such as a current Professional Engineering (PE) license or Certified Floodplain Manager (CFM); a Vermont or New Hampshire PE license is desired, or the ability to obtain one within 12 months; documented progress toward obtaining a PE is also desired.
An M.S. in civil engineering, environmental engineering, environmental science, hydrology, fluvial geomorphology, or a closely related discipline.
Experience with Vermont and New Hampshire regulatory frameworks.
Experience with advanced hydraulic modeling, including two-dimensional modeling of fluvial systems and sediment transport modeling.
Additional experience with construction oversight and bid administration.
Experience mentoring or coordinating work with junior staff.

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19d ago

Remote Sensing / Signal Processing Software Engineer

Ursa Space Systems United States 🇺🇸 Remote

United States

19d ago

$135k - $145k/yr Full time Backend Developer Cloud Operations Data Analysis

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Job Description

Remote sensing and signal-processing software engineer role focused on building end-to-end geospatial and intelligence capabilities from sensors to applications.

Responsibilities

Design, develop, integrate, and maintain software for remote sensing and signal-processing applications.
Build software and algorithms to process, transform, analyze, and exploit complex sensor and geospatial data.
Apply computer science and software engineering fundamentals to technically complex problems.
Create and maintain data-processing pipelines and applications using Python and other suitable languages.
Contribute to full-stack development activities, including backend services, data processing, orchestration, and APIs as applicable.
Convert remote-sensing and signal-processing requirements into scalable software architectures and technical solutions.
Work across the system to understand how sensors, SAR, RF/radar systems, signal processing, algorithms, data pipelines, software, and applications interact.
Participate in system architecture, technical design, integration, and implementation.
Develop and integrate algorithms for processing and exploiting remote-sensing and other sensor-derived data.
Operate on large, complex, and potentially heterogeneous datasets.
Support automated workflows and orchestration systems for data and algorithm processing.
Collaborate with systems engineers, analysts, data scientists, software engineers, and domain experts.
Support technical planning and contribute to project-level architecture and engineering decisions.
Participate in testing, debugging, performance optimization, and deployment.
Document software architecture, technical designs, interfaces, and engineering decisions.
Provide technical leadership across projects and workstreams.
Occasional nights and weekends may be required based on company needs.
Perform other duties as assigned.

Requirements

5+ years of professional experience in software engineering, algorithm development, signal processing, remote sensing, systems engineering, or a closely related field.
Bachelor’s degree or higher in Computer Engineering, Electrical Engineering, or a related technical discipline.
Strong understanding of computer science and software engineering fundamentals.
Professional experience developing software using Python.
Experience designing, developing, and integrating software systems (not limited to analysis or research).
Experience working with remote-sensing, SAR, RF, or other signal-derived data.
Understanding of signal-processing concepts applied to real-world sensor systems.
Ability to understand complex systems and relationships between components.
Experience contributing to software or systems architecture and technical design.
Ability to work across disciplines and translate between software, algorithms, data, and systems engineering teams.
Strong problem-solving, analytical, communication, and collaboration skills.

Preferred Qualifications

Experience with SIGINT (Signals Intelligence) and/or MASINT (Measurement and Signature Intelligence) data.
Experience working with SAR, RF, radar, electromagnetic, or other sensor modalities.
Experience with geospatial data, remote sensing, imagery, or Earth-observation systems.
Experience developing signal-processing or sensor-data algorithms.
Experience with distributed data-processing systems or workflow orchestration.
Experience with cloud-based software architectures and services.
Experience developing APIs, backend services, or full-stack applications.
Experience with containerization, CI/CD, automated testing, and modern software-development practices.
Experience working with large-scale or high-volume sensor datasets.
Systems engineering experience.
Experience leading technical projects, workstreams, or multidisciplinary engineering teams.
Experience serving as a technical lead or technical project manager.
Experience working in defense, intelligence, aerospace, or national-security sectors.
Experience with government or DoD programs.

Technologies

Python

Compensation

USD 135,000 - 145,000 per year

Benefits

Competitive Compensation
Discretionary PTO & Flexible Scheduling
Stock Options
401(k) Match
Medical, Dental and Vision Coverage for you and your dependents
FSA & HSA Plans
Employer-paid Life Insurance
Employer-paid LTD and STD for Parental and Family Care
11 Paid Holidays
Employee Resource Groups
Educational Assistance Program
Professional Development Opportunities

Location

United States (remote)
Headquartered in Ithaca, NY with a remote workforce across the United States

Application Note

Applications without a relevant cover letter will not be considered.
Cover letter guidance: share your personal voice and sincere interest in Ursa Space Systems.

Company Values

Use the team
Figure it out and own it
Aim for elegant simplicity
Empower diversity & inclusivity
Do the right thing
Be scrappy

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21d ago

Modeling Software Engineer

Trinzic Beavercreek Township, OH

Beavercreek Township, OH

21d ago

Full time Backend Developer Python APIs

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Job Description

Join an onsite engineering team in Beavercreek Township, Ohio to build databases, models, and analytical tools that support intelligence assessments of adversary PNT and satellite systems.

Responsibilities

Design, build, and maintain web-enabled technical databases for intelligence workflows
Develop software tools that support intelligence analysis and threat characterization
Create and maintain digital representations of foreign PNT, SATCOM, and navigation architectures
Build analytical models, simulations, and mission-support tools
Integrate intelligence data from multiple sources into structured repositories
Support collection planning and intelligence exploitation activities

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related discipline
5+ years of software development experience
Experience with database design and web technologies
Experience with data integration and visualization
Active TS/SCI Clearance

Technologies

Python
SQL
GIS
Data analytics platforms

Preferred Qualifications

Knowledge of GNSS systems and space architectures
Experience supporting DoD or IC programs
Proficiency with Python, SQL, GIS tools, and data analytics platforms

Desired Skills

Software Development
Database Engineering
Data Modeling
Analytics
Intelligence Systems

Location

Beavercreek Township, Ohio (onsite)

About the Role

The Modeling Software Engineer develops and maintains databases, models, and analytical tools used for intelligence assessments of adversary PNT and satellite systems, including web-enabled data stores, analytical models, mission-support tools, and structured integration of intelligence data.

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25d ago

Data Analytics Engineer

Blackbeard Operating, LLC Fort Worth, TX

Fort Worth, TX

25d ago

Full time Python Business Intelligence Data Analysis

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Job Description

Blackbeard Operating, LLC is seeking a senior Analytics Engineer in Fort Worth, TX to connect raw operational data to business decisions. In this onsite role, you will build analytics data models, create a reporting layer, and deliver self-serve tools that help engineering and business teams use the same verified metrics.

Role Summary

You will partner with engineering and business stakeholders to define data definitions and make metrics accessible through tools such as Streamlit applications. The work focuses on shared understanding of requirements upfront, reliable data foundations, and deployable models and tooling that reduce manual effort over time.

Key Responsibilities

Scope analytics projects with stakeholders before writing code by defining the business question, required data sources, success criteria, and expected output format.
Maintain a prioritized backlog of analytical requests, balancing urgency, business impact, and technical feasibility to focus effort on the highest-value work.
Define and encode key business metrics in reusable, version-controlled SQL models, including production performance, decline tracking, LOE and CAPEX, budget versus actual, well-level benchmarking, and support for A&D evaluation.
Collaborate with Data Engineering to ensure source data arrives reliably, and keep models updated as business definitions and data sources evolve.
Deploy finished tools as Streamlit applications, with documentation and lightweight onboarding so stakeholders can operate them independently.
Drive adoption by demonstrating value, collecting feedback, and iterating quickly based on what users actually need.
Support deployed applications over time by triaging bug reports, incorporating feedback, and adding features as the business evolves.
Reduce errors through analytical workflows that include validation checks, automated assertions, and guardrails that prevent problematic results from reaching stakeholders.
Implement testing across layers, including unit tests for transformation logic, data asset row-count and freshness checks, and regression tests to detect unintended changes when models are updated.
Eliminate manual, error-prone steps in recurring workflows by replacing them with reproducible, version-controlled code that runs reliably.
Document assumptions, known edge cases, and data quirks to ensure outputs can be trusted and reproduced.
Cross-check outputs against independent sources before shipping changes.
Partner with Reservoir Engineering, Finance, Land, and Operations to translate business needs into analytical solutions.
Act as an internal expert on what the data means, including provenance, known quirks, and appropriate interpretation of key metrics.
Challenge how data is recorded and stored across the organization, partnering to redesign source workflows when spreadsheets or ad hoc structures introduce error or limit analytical reach.
Present findings and recommendations to management in clear, concise, actionable language, including what the results mean and what should happen next.
Proactively surface insights by flagging anomalies, trends, and risks as they emerge.
Translate complex analytical outputs into plain language for non-technical audiences, tuned to the decision being made.
Balance depth and timeliness by knowing when a thorough response is warranted versus when a well-reasoned quick read is more valuable.

Requirements

Bachelor’s degree in Engineering, Mathematics, Computer Science, Finance, or a related field.
5–10 years of experience in analytics engineering, business intelligence, or data analytics.
Strong Python proficiency with hands-on experience in pandas, numpy, plotly, matplotlib, and Streamlit.
Git proficiency, including branching strategies, pull requests, and code review workflows; experience with pytest and golden-master or regression testing strongly preferred.
Fluent use of Claude and AI coding tools to accelerate development on real analytical problems.
Expert-level SQL across T-SQL and Snowflake, including the ability to diagnose silent row loss during joins and reason carefully about aggregation grain.
Deep familiarity with upstream oil and gas concepts, including Arps decline, type curves, EUR, per-lateral-foot normalization, IRR, PV10, WI/NRI, LOS, AFE variance, price decks, and well identity (API-10/PROPNUM/UWI).
Experience generating deliverables programmatically using python-pptx, XlsxWriter, or equivalent.
Geospatial experience with geopandas, shapely, and pyproj preferred.
Ability to translate ambiguous business questions into precise data definitions and well-structured models.
Strong attention to metric consistency and data integrity, with a focus on publishing only verified numbers.
Comfort extending a large, actively evolving codebase rather than building from scratch.
Effective communication skills for working fluently with both engineers and non-technical stakeholders.
Comfort operating in a fast-moving, lean environment where priorities shift.

Technologies

SQL, T-SQL, Snowflake
Python, pandas, numpy, plotly, matplotlib, Streamlit
Git, pytest
Claude
python-pptx, XlsxWriter
geopandas, shapely, pyproj

What Success Looks Like

Business stakeholders get fast, reliable access to needed data without filing a ticket or waiting for custom pull requests.
Key metrics are defined consistently across teams, enabling everyone to work from the same verified numbers.
Reservoir engineering, finance, and operations can self-serve routine data questions with accurate, current Streamlit applications.
Data models are well-documented and understandable for someone picking them up for the first time.
The engineer is trusted as a translator between technical data systems and business decision-making.
Reporting quality improves measurably over time through fewer one-off requests, fewer data discrepancies, and increased stakeholder confidence.

Minimum experience: 5 years. Education: Bachelor’s degree in Engineering, Mathematics, Computer Science, Finance, or a related field. Location: Fort Worth, TX (onsite).

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1mo ago

Business Analytics Engineer

Cushman & Wakefield Creve Coeur, MO

Creve Coeur, MO

1mo ago Closed

$106k - $125k/yr Full time Analytics Arcgis Online Artificial Intelligence

This position is no longer accepting applications (closed Oct 31, 2026).

Job Description

Business Analytics Engineer role focused on building analytics, reporting, automation, and geospatial solutions that support real estate portfolio decision-making.

Responsibilities

Develop and maintain reporting, analytics, and geospatial solutions to improve visibility into portfolio performance, workplace trends, operational metrics, and business outcomes.
Transform, validate, and manage data from multiple sources to support portfolio intelligence, operational reporting, forecasting, and decision support.
Partner with business stakeholders, account teams, and clients to convert business requirements into reusable technical solutions.
Support portfolio planning and workplace strategy through insight generation and visualization for occupancy analysis, location intelligence, and operational decision-making.
Find opportunities to improve efficiency through automation, standardization, and adoption of emerging technologies, including AI-enabled tools.
Assist in the ongoing evolution of PAG analytics, reporting, geospatial, and technology capabilities.
Build dashboarding and reporting solutions using Power BI, Looker, Tableau, or similar platforms for portfolio performance and operational efficiency.
Create and maintain data pipelines, transformation processes, and data models supporting analytics and reporting solutions (Databricks experience preferred).
Integrate data from internal systems, client platforms, commercial real estate technologies, and external sources.
Develop and maintain ArcGIS Online environments, maps, dashboards, and geospatial data products for location intelligence, market analysis, portfolio optimization, and workplace planning.
Identify and automate repetitive reporting, data preparation, and operational workflows.
Leverage AI-enabled tools to improve productivity, accelerate development, and enhance analytics capabilities.
Understand business needs and priorities through collaboration with account teams, business stakeholders, and clients.
Communicate technical concepts clearly to both technical and non-technical audiences.
Support user adoption through training, documentation, and continuous improvement activities.

Requirements

3-7 years of experience in business analytics, business intelligence, analytics engineering, reporting, data engineering, or related fields.
Experience developing dashboards, reporting solutions, and analytical products for business stakeholders.
Experience with Power BI, Tableau, Looker, or similar business intelligence platforms.
Experience building and maintaining data pipelines in modern cloud analytics platforms; Databricks experience strongly preferred.
Strong problem-solving, analytical thinking, and data interpretation skills.
Experience gathering requirements and working directly with business stakeholders.
Ability to translate business requirements into technical solutions and explain complex concepts to stakeholders, account teams, and clients.
Excellent written and verbal communication skills.
Experience with Databricks, Delta Lake, Unity Catalog, or modern cloud-based analytics platforms.
Experience using Python for analytics, automation, reporting, or workflow development.
Experience supporting commercial real estate, corporate real estate, portfolio planning, workplace strategy, occupancy management, facilities management, or related business functions.
Experience with ArcGIS Online, ESRI products, or geospatial analytics platforms.
Experience in consulting, professional services, or client-facing environments.
Experience leveraging AI-enabled tools such as Microsoft Copilot, Claude, Gemini, ChatGPT, or similar technologies.
Experience across enterprise reporting, operational analytics, portfolio analytics, workplace analytics, or business performance management.

Technologies

Power BI
Looker
Tableau
Databricks
ArcGIS Online
ESRI
SQL
Python
Delta Lake
Unity Catalog
Microsoft Office Suite (Excel, PowerPoint, Word)
Google Workspace (Sheets, Docs, Slides)
Microsoft Copilot
Claude
Gemini
ChatGPT

Benefits

Health, vision, and dental insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life, and disability insurance programs
Paid and unpaid time away from work
Competitive pay (varies by eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements)
Opportunity to enroll in a variety of benefit programs

Success in This Role Looks Like

Stakeholders trust the data, reporting, and analytics solutions used to support business and real estate decisions.
Reporting and analysis processes become more automated, scalable, and consistent.
Business users spend less time gathering, validating, and preparing data and more time acting on insights.
Analytics and geospatial solutions become integrated into standard account operations and decision-making.
Stakeholders use reporting, analytics, and geospatial solutions to support portfolio planning, occupancy strategy, location decisions, operational performance, and workplace initiatives.

Location: Creve Coeur, MO (onsite) • Salary: USD 106,250 - 125,000 per yearly • Experience: 3 years • Education: Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, Geography/GIS, Engineering, Mathem

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1mo ago

Full-Stack Data Engineer

Base-2 Solutions Doral, FL

Doral, FL

1mo ago Closed

Full time Backend Developer Analytics API

This position is no longer accepting applications (closed Oct 29, 2026).

Job Description

Base-2 Solutions is seeking a Full-Stack Data Engineer to support the USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. This onsite role in Doral, FL focuses on building and optimizing data integration pipelines, API services, and front-end interfaces that enable access to geospatial and structured data for visualization and analytics.

The position supports end-to-end delivery across data lake platforms and GIS environments, including secure data interoperability through RESTful and GraphQL interfaces and full-stack application development within ESRI-based platforms and cloud databases.

Role Overview

Develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for geospatial and structured data visualization.
Build scalable, secure web applications with metadata-driven search and retrieval capabilities.
Develop and deploy full-stack applications supporting data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.

What You Will Work On

Collaborate across Data Lakes platforms such as Databricks, Kubernetes, and ESRI ArcGIS environments.
Integrate APIs to enable seamless data interoperability between the Data Lake, ESRI ArcGIS, and external sources.
Implement RESTful and GraphQL APIs for data retrieval and integration.
Manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms for secure access to research products.
Optimize database queries and indexing strategies for large-scale geospatial and structured datasets.

Qualifications

Bachelor's degree in Computer Science, Data Engineering, or a related field, OR minimum 5 years of equivalent experience in full-stack development and data engineering.
Demonstrated experience developing and deploying full-stack applications for data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.
Experience implementing RESTful and GraphQL APIs for data retrieval and integration.
Experience managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms.
Experience optimizing database queries and indexing strategies for large-scale geospatial and structured datasets.

Technologies

Databricks
Kubernetes
ESRI ArcGIS
ESRI-based GIS platforms
Unity Catalog
RESTful APIs
GraphQL
CI/CD
Cloud-based databases

Security Clearance

Active Top Secret/SCI

Preferred Qualifications

AWS Certified Data Analytics - Specialty
Microsoft Certified: Azure Data Engineer Associate
ESRI ArcGIS Developer Certification

Benefits

Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
Employee referral bonuses up to $10,000 per hired referral.
Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
100% company-paid medical premiums for employees and eligible dependents.
Choose from CareFirst, Kaiser, and UnitedHealthcare plans, including PPO, POS, HMO, and HSA-compatible plans.
100% company-paid dental premiums for employees and eligible dependents.
100% company-paid vision premiums for employees and eligible dependents.
100% company-paid premiums for short-term disability.
100% company-paid premiums for long-term disability.
100% company-paid premiums for accidental death & dismemberment (AD&D).
100% company-paid life insurance up to $200,000.
401(k) with immediate vesting: 4% company match plus 4% non-elective company contribution (total 8%).
401(k) pre-tax and Roth options.
Up to 20 days of flexible paid time off (PTO).
11 paid floating holidays.
Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).

Remote

5mo ago Closed

$40 - $50/hr Contract Backend Developer ArcGIS Enterprise Arcgis Pro

5mo ago

OSP Engineer

BSM Groups, LLC Seymour, IN

Seymour, IN

5mo ago Closed

$68k - $87k/yr Full time ArcGIS AutoCAD Design

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