geospatial engineer

Mindbank Consulting Group

<div>Mindbank Consulting Group has an immediate need for a Sr. Machine Learning Engineer (Operations AI).<br>
<br>
<b>Sr. Machine Learning Engineer (Operations AI) Responsibilities:</b><br>
<ul><li>Design, develop, and implement machine learning models and algorithms for naval applications.
</li><li>Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.
</li><li>Perform data preprocessing, feature engineering, model evaluation, and validation.
</li><li>Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.
</li><li>Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.
</li><li>Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.
</li><li>Contribute to distributed computing and parallel processing approaches to optimize ML model performance.
</li><li>Participate in CI/CD pipeline development, automation, and DevSecOps workflows.
</li><li>Apply cybersecurity principles in the design and deployment of machine learning systems.
</li><li>Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.
</li><li>Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.
</li>
</ul><br>
<b>Sr. Machine Learning Engineer (Operations AI) Required Qualifications:</b><br>
<ul><li>Must have at a minimum an active Top Secret clearance.
</li><li>Willingness to travel up to 15%.
</li><li>Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.
</li><li>Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.
</li><li>Strong programming skills in Python.
</li><li>Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).
</li><li>Familiarity with software engineering best practices, including Git.
</li><li>Strong programming skills in Java, C++, Go, or Rust.
</li><li>Strong analytical, problem-solving, and communication skills.
</li><li>Ability to work effectively in a collaborative team environment.
</li><li>Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
</li><li>Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
</li><li>Ability to perform activities on a recurring basis during shipboard operations or testing evolutions.
</li><li>Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
</li><li>Candidates should be prepared to complete a coding exercise as part of the interview process.
</li></ul><b>Sr. Machine Learning Engineer (Operations AI) Preferred Qualifications:</b><br>
<ul><li>Experience with distributed computing and parallel processing.
</li><li>Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).
</li><li>Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
</li><li>Experience with cloud-native architecture and software API design.
</li><li>Experience integrating machine learning into operational DoD systems or edge computing environments.
</li><li>Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.
</li><li>Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred).
</li>
</ul><br>
<b>Why should you work for Mindbank?</b><br>
<br>
Since 1986, Mindbank has helped hundreds of clients solve some of the most complex IT problems through the strategic implementation of solutions and resources. Our clients include US Federal agencies, State &amp; Local Governments, Tribal Organizations, Fortune 1000 companies, as well as Small Businesses.<br>
<br>
Mindbank believes that our employees deserve the best care that our company can provide. We offer our employees a comprehensive and competitive benefits package including:<br>
<ul><li>Medical Insurance
</li><li>Dental Insurance
</li><li>Vision Insurance
</li><li>Life Insurance
</li><li>Long Term Disability
</li><li>Short Term Disability
</li><li>401 (k) Plan
</li><li>Paid Time Off
</li><li>Training and Education Reimbursement
</li><li>Referral Bonuses
</li>
</ul><br>
As an Equal Opportunity Employer, Mindbank is committed to a diverse workforce and we seek the most qualified candidate for each opening without regard to race, color, religion, age, gender, gender identity, marital status, sexual orientation, national origin, protected veteran status, or disability status.</div>
<br><div><div>Get job alerts by email. <b>Sign up now!</b>
</div><div></div><div><h3 class="jobSectionHeader"><b>Job Snapshot</b></h3>
<div><h4 class="jobSectionHeader"><b>Employee Type</b></h4>
Full-Time
</div><div><h4 class="jobSectionHeader"><b>Location</b></h4>
San Diego, CA (Onsite)
</div><div><h4 class="jobSectionHeader"><b>Job Type</b></h4>
Engineering
</div><div><h4 class="jobSectionHeader"><b>Experience</b></h4>
Not Specified
</div><div><h4 class="jobSectionHeader"><b>Date Posted</b></h4>
04/10/2026
</div><div><h4 class="jobSectionHeader"><b>Job ID</b></h4>
15925</div></div></div>

Sr. Machine Learning Engineer (Operations AI)

<div>Mindbank Consulting Group has an immediate need for a Sr. Machine Learning Engineer (Operations AI).<br>
<br>
<b>Sr. Machine Learning Engineer (Operations AI) Responsibilities:</b><br>
<ul><li>Design, develop, and implement machine learning models and algorithms for naval applications.
</li><li>Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.
</li><li>Perform data preprocessing, feature engineering, model evaluation, and validation.
</li><li>Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.
</li><li>Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.
</li><li>Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.
</li><li>Contribute to distributed computing and parallel processing approaches to optimize ML model performance.
</li><li>Participate in CI/CD pipeline development, automation, and DevSecOps workflows.
</li><li>Apply cybersecurity principles in the design and deployment of machine learning systems.
</li><li>Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.
</li><li>Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.
</li>
</ul><br>
<b>Sr. Machine Learning Engineer (Operations AI) Required Qualifications:</b><br>
<ul><li>Must have at a minimum an active Top Secret clearance.
</li><li>Willingness to travel up to 15%.
</li><li>Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.
</li><li>Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.
</li><li>Strong programming skills in Python.
</li><li>Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).
</li><li>Familiarity with software engineering best practices, including Git.
</li><li>Strong programming skills in Java, C++, Go, or Rust.
</li><li>Strong analytical, problem-solving, and communication skills.
</li><li>Ability to work effectively in a collaborative team environment.
</li><li>Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
</li><li>Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
</li><li>Ability to perform activities on a recurring basis during shipboard operations or testing evolutions.
</li><li>Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
</li><li>Candidates should be prepared to complete a coding exercise as part of the interview process.
</li></ul><b>Sr. Machine Learning Engineer (Operations AI) Preferred Qualifications:</b><br>
<ul><li>Experience with distributed computing and parallel processing.
</li><li>Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).
</li><li>Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
</li><li>Experience with cloud-native architecture and software API design.
</li><li>Experience integrating machine learning into operational DoD systems or edge computing environments.
</li><li>Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.
</li><li>Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred).
</li>
</ul><br>
<b>Why should you work for Mindbank?</b><br>
<br>
Since 1986, Mindbank has helped hundreds of clients solve some of the most complex IT problems through the strategic implementation of solutions and resources. Our clients include US Federal agencies, State &amp; Local Governments, Tribal Organizations, Fortune 1000 companies, as well as Small Businesses.<br>
<br>
Mindbank believes that our employees deserve the best care that our company can provide. We offer our employees a comprehensive and competitive benefits package including:<br>
<ul><li>Medical Insurance
</li><li>Dental Insurance
</li><li>Vision Insurance
</li><li>Life Insurance
</li><li>Long Term Disability
</li><li>Short Term Disability
</li><li>401 (k) Plan
</li><li>Paid Time Off
</li><li>Training and Education Reimbursement
</li><li>Referral Bonuses
</li>
</ul><br>
As an Equal Opportunity Employer, Mindbank is committed to a diverse workforce and we seek the most qualified candidate for each opening without regard to race, color, religion, age, gender, gender identity, marital status, sexual orientation, national origin, protected veteran status, or disability status.</div>
<br><div><div>Get job alerts by email. <b>Sign up now!</b>
</div><div></div><div><h3 class="jobSectionHeader"><b>Job Snapshot</b></h3>
<div><h4 class="jobSectionHeader"><b>Employee Type</b></h4>
Full-Time
</div><div><h4 class="jobSectionHeader"><b>Location</b></h4>
Arlington, VA (Onsite)
</div><div><h4 class="jobSectionHeader"><b>Job Type</b></h4>
Engineering
</div><div><h4 class="jobSectionHeader"><b>Experience</b></h4>
Not Specified
</div><div><h4 class="jobSectionHeader"><b>Date Posted</b></h4>
04/10/2026
</div><div><h4 class="jobSectionHeader"><b>Job ID</b></h4>
15928</div></div></div>

<div>Mindbank Consulting Group has an immediate need for a Sr. Machine Learning Engineer (Operations AI).<br>
<br>
<b>Sr. Machine Learning Engineer (Operations AI) Responsibilities:</b><br>
<ul><li>Design, develop, and implement machine learning models and algorithms for naval applications.
</li><li>Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.
</li><li>Perform data preprocessing, feature engineering, model evaluation, and validation.
</li><li>Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.
</li><li>Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.
</li><li>Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.
</li><li>Contribute to distributed computing and parallel processing approaches to optimize ML model performance.
</li><li>Participate in CI/CD pipeline development, automation, and DevSecOps workflows.
</li><li>Apply cybersecurity principles in the design and deployment of machine learning systems.
</li><li>Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.
</li><li>Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.
</li>
</ul><br>
<b>Sr. Machine Learning Engineer (Operations AI) Required Qualifications:</b><br>
<ul><li>Must have at a minimum an active Top Secret clearance.
</li><li>Willingness to travel up to 15%.
</li><li>Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.
</li><li>Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.
</li><li>Strong programming skills in Python.
</li><li>Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).
</li><li>Familiarity with software engineering best practices, including Git.
</li><li>Strong programming skills in Java, C++, Go, or Rust.
</li><li>Strong analytical, problem-solving, and communication skills.
</li><li>Ability to work effectively in a collaborative team environment.
</li><li>Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
</li><li>Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
</li><li>Ability to perform activities on a recurring basis during shipboard operations or testing evolutions.
</li><li>Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
</li><li>Candidates should be prepared to complete a coding exercise as part of the interview process.
</li></ul><b>Sr. Machine Learning Engineer (Operations AI) Preferred Qualifications:</b><br>
<ul><li>Experience with distributed computing and parallel processing.
</li><li>Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).
</li><li>Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
</li><li>Experience with cloud-native architecture and software API design.
</li><li>Experience integrating machine learning into operational DoD systems or edge computing environments.
</li><li>Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.
</li><li>Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred).
</li>
</ul><br>
<b>Why should you work for Mindbank?</b><br>
<br>
Since 1986, Mindbank has helped hundreds of clients solve some of the most complex IT problems through the strategic implementation of solutions and resources. Our clients include US Federal agencies, State &amp; Local Governments, Tribal Organizations, Fortune 1000 companies, as well as Small Businesses.<br>
<br>
Mindbank believes that our employees deserve the best care that our company can provide. We offer our employees a comprehensive and competitive benefits package including:<br>
<ul><li>Medical Insurance
</li><li>Dental Insurance
</li><li>Vision Insurance
</li><li>Life Insurance
</li><li>Long Term Disability
</li><li>Short Term Disability
</li><li>401 (k) Plan
</li><li>Paid Time Off
</li><li>Training and Education Reimbursement
</li><li>Referral Bonuses
</li>
</ul><br>
As an Equal Opportunity Employer, Mindbank is committed to a diverse workforce and we seek the most qualified candidate for each opening without regard to race, color, religion, age, gender, gender identity, marital status, sexual orientation, national origin, protected veteran status, or disability status.</div>
<br><div><div>Get job alerts by email. <b>Sign up now!</b>
</div><div></div><div><h3 class="jobSectionHeader"><b>Job Snapshot</b></h3>
<div><h4 class="jobSectionHeader"><b>Employee Type</b></h4>
Full-Time
</div><div><h4 class="jobSectionHeader"><b>Location</b></h4>
Charleston, SC (Onsite)
</div><div><h4 class="jobSectionHeader"><b>Job Type</b></h4>
Engineering
</div><div><h4 class="jobSectionHeader"><b>Experience</b></h4>
Not Specified
</div><div><h4 class="jobSectionHeader"><b>Date Posted</b></h4>
04/10/2026
</div><div><h4 class="jobSectionHeader"><b>Job ID</b></h4>
15926</div></div></div>

Deepwalk

<div><p><b>About DeepWalk</b></p><p>
DeepWalk is a fast-growing venture that helps cities keep people safe using computer vision to map and monitor their sidewalks. We have ongoing contracts with cities, universities, and engineering firms.</p><p>
In the past year, we&rsquo;ve processed thousands of miles of sidewalk across 20+ states, generating millions of labeled data points used in real-world infrastructure decisions. We&rsquo;ve raised $4.1M, recently closed a $2.1M seed round led by Enable Ventures, and we currently generate 7-figure revenue helping communities across America.</p><p><b>
Lead Software Engineer</b></p><p>
$150,000 &ndash; $190,000 base salary + equity &middot; Hybrid (Chicago)</p><p>
We&rsquo;re hiring a Lead Software Engineer to set the technical direction of DeepWalk&rsquo;s platform for automated sidewalk inspection. This role is focused on tackling high-impact, open-ended problems around large-scale imagery, production ML systems, and data pipelines that handle hundreds of terabytes of data.
</p><p>You&rsquo;ll play a key role in how we process, analyze, and deliver insights from millions of images, supporting cities as they work to build safer, more accessible infrastructure.</p><p>
In this role, you&rsquo;ll work closely with a handful of experienced engineers, help set technical direction, and establish patterns the team can scale with.</p><p>
Our core stack today includes Python-based CV/ML systems running on AWS, with data pipelines and services designed to handle large volumes of imagery and geospatial data. We also develop and support customer facing web and mobile applications for our users to scan and view their data.</p><p><b>
What You&rsquo;ll Do</b></p><p>
As a Lead Engineer at DeepWalk, you&rsquo;ll have significant ownership over the systems we build and how we build them. You will&hellip;</p><ul><li><p>
Set the technical direction for scaling out our platform</p></li><li><p>
Design and improve data pipelines that process thousands of miles of sidewalks and millions of images</p></li><li><p>
Lead architectural decisions for handling hundreds of terabytes of geospatial data and visual data</p></li><li><p>
Set and evolve best practices around deployment, observability, system reliability, and scalability</p></li><li><p>
Act as a senior individual contributor and mentor, helping raise the technical bar across the engineering team</p></li><li><p>
Work closely with the CEO and operations team to turn business needs into clear technical priorities</p></li></ul><p><b>
What Success Looks Like (First 3&ndash;6 Months)</b></p><ul><li><p>
Build a strong understanding of our current systems, processes, applications, and data pipelines</p></li><li><p>
Identify the biggest scaling, reliability, and maintainability gaps as we grow</p></li><li><p>
Increase the delivery speed of processed data</p></li><li><p>
Become a trusted technical partner to leadership</p></li></ul><p><b>
What We&rsquo;re Looking For</b></p><p><b>
Required</b></p><ul><li><p>
5+ years of experience, ideally with strong experience at a growth stage startup</p></li><li><p>
Demonstrated ability to translate ambiguous business requirements into long term technical goals</p></li><li><p>
Experience owning system architecture and influencing technical decisions across teams</p></li><li><p>
Fluency in at least one modern backend language (Python, Java, TypeScript, Go, etc.)</p></li><li><p>
Strong understanding of system design, scalability, and distributed systems</p></li><li><p>
Experience with cloud platforms such as AWS, GCP, or Azure</p></li></ul><p><b>
Nice to Have</b></p><ul><li><p>
Computer vision/machine learning model development</p></li><li><p>
Experience with large-scale or real-time data pipelines</p></li><li><p>
Infrastructure-as-Code experience (Terraform, CDK, etc.)</p></li><li><p>
ML observability, data validation, or model deployment experience</p></li><li><p>
Familiarity with geospatial, imagery, or sensor-driven data</p></li><li><p>
A genuine interest in urban planning, accessibility, or civic technology</p></li></ul><p><b>
Compensation &amp; Benefits</b></p><ul><li><p>
$150,000 &ndash; $190,000 base salary, based on scope and experience</p></li><li><p>
Equity</p></li><li><p>
Unlimited PTO (most of our team takes 3&ndash;4 weeks per year)</p></li><li><p>
Health insurance</p></li><li><p>
401(k) with ~4% match (100% on first 3%, 50% on the next 2%)</p></li><li><p>
Convenient office location in The Loop</p></li><li><p>
Hybrid work environment (typically 2 days in-office)</p></li></ul><p><i>
</i></p><p><i>DeepWalk participates in the federal E-Verify program to confirm the employment eligibility of all newly hired employees.</i></p><p><i>
DeepWalk is an Equal Opportunity Employer and is committed to building a diverse and inclusive workplace. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status.</i></p><p><i>
In accordance with applicable laws, DeepWalk provides equal pay for equal work and complies with all federal, state, and local pay transparency and compensation requirements.</i></p><p></p><p>
Compensation Range: $150K - $190K</p></div>

Lead Software Engineer

M&N Business

<p><b>Key Responsibilities:</b></p><ul><li>Deliver lectures on 3D graphics concepts including vertices, transformations, rendering pipelines, and lighting models</li><li>Train students on CesiumJS for building 3D GIS applications</li><li>Guide students in setting up development environments and understanding CesiumJS architecture</li><li>Teach 3D data formats (OBJ, GLTF, FBX) and geospatial formats (KML, GeoJSON, Shapefiles)</li><li>Demonstrate visualization of geospatial data including terrain, elevation, and time-based data</li><li>Train students on CesiumJS UI components, camera controls, and event handling</li><li>Teach material systems, shaders, and customization using GLSL</li><li>Assign practical projects and evaluate student performance</li><li>Provide hands-on training for real-world 3D mapping applications</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, GIS, or related field</li><li>Proven experience in CesiumJS, GIS, or 3D mapping technologies</li><li>Strong understanding of 3D graphics concepts and rendering</li><li>Knowledge of JavaScript and web-based mapping technologies</li><li>Experience with geospatial data handling and visualization</li><li>Teaching or training experience will be preferred</li></ul><p><b>Skills:</b></p><ul><li>CesiumJS &amp; 3D GIS expertise</li><li>JavaScript programming</li><li>Geospatial data analysis</li><li>3D visualization &amp; rendering</li><li>Problem-solving &amp; analytical thinking</li><li>Communication &amp; teaching skills</li></ul><p><b>Short Summary:</b></p><p>We are hiring a CesiumJS / 3D Mapping Instructor to teach 3D graphics, geospatial data visualization, and application development using CesiumJS. The candidate should have strong technical expertise and teaching ability.</p><p>Pay: Rs100,000.00 - Rs125,000.00 per week</p><p>Work Location: In person</p>

CesiumJS / 3D Mapping Instructor

Dubai Holding

<div>
 <p>
  <strong>
   About Dubai Holding Land Estates:
  </strong>
 </p>
 <p>
  Dubai Holding Land Estates oversees a diverse land portfolio strategically located across Dubai&rsquo;s most sought-after areas. With convenient access to major highways, nearby amenities, and flexible land use options, investors are presented with unique opportunities for development and growth.
 </p>
 <p>
 </p>
 <p>
  Through the centralization of Dubai Holding&rsquo;s land bank, Dubai Holding Land Estates focuses on large-scale master plans, ensuring alignment with the Dubai 2040 Urban Master Plan, whilst also supporting the business&rsquo;s commitment to sustainable urban development and strategic land portfolio management.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  <strong>
   Enterprise GIS Strategy &amp; Governance
  </strong>
 </p>
 <ul>
  <li>
   Develop and oversee GIS policies, standards, and frameworks to ensure secure, scalable, and consistent geospatial operations.
  </li>
  <li>
   Identify and promote opportunities to leverage GIS for business growth, operational excellence, and customer engagement.
  </li>
 </ul>
 <p>
  <strong>
   Technical Leadership &amp; Delivery
  </strong>
 </p>
 <ul>
  <li>
   Oversee and contribute to the design, implementation, and optimization of GIS systems and infrastructure, including Land Bank applications, data models, and geospatial workflows.
  </li>
  <li>
   Provide technical guidance on complex GIS configurations, data integrations, and platform upgrades.
  </li>
 </ul>
 <p>
  <strong>
   Land Bank Management &amp; Data Integrity
  </strong>
 </p>
 <ul>
  <li>
   Direct the development, maintenance, and governance of the Land Bank geospatial datasets, ensuring accuracy, completeness, and compliance with regulatory requirements.
  </li>
  <li>
   Lead reconciliation projects to align Land Bank data with external authorities and internal systems
  </li>
 </ul>
 <p>
  <strong>
   System Integration &amp; Optimization
  </strong>
 </p>
 <ul>
  <li>
   Lead integration of GIS platforms with enterprise applications such as ERP, CRM, and Business Intelligence systems.
  </li>
  <li>
   Ensure seamless data exchange, interoperability, and performance across systems.
  </li>
 </ul>
 <p>
  <strong>
   Project Leadership &amp; Oversight
  </strong>
 </p>
 <ul>
  <li>
   Provide direction and oversight for complex GIS projects, ensuring alignment with organizational priorities.
  </li>
  <li>
   Define milestones, success metrics, and reporting mechanisms to monitor progress and performance.
  </li>
 </ul>
 <p>
  <strong>
   Technology Innovation &amp; Enablement
  </strong>
 </p>
 <ul>
  <li>
   Evaluate, recommend, and implement emerging GIS technologies, automation tools, and analytics platforms.
  </li>
  <li>
   Champion enhancements to spatial data visualization, predictive modeling, and advanced analytics capabilities.
  </li>
 </ul>
 <p>
  <strong>
   Enterprise Analytics &amp; Reporting
  </strong>
 </p>
 <ul>
  <li>
   Oversee the development of geospatial analysis, predictive models, and reports to support decision-making.
  </li>
  <li>
   Present technical and business insights to senior leadership and stakeholders.
  </li>
 </ul>
 <p>
  <strong>
   Stakeholder Engagement &amp; Compliance
  </strong>
 </p>
 <ul>
  <li>
   Serve as a primary liaison with internal stakeholders and regulatory authorities to ensure data compliance, updates, and timely resolution of technical issues.
  </li>
  <li>
   Collaborate with external partners and vendors to align solutions with best practices
  </li>
 </ul>
 <p>
  <strong>
   Team Leadership &amp; Capability Development
  </strong>
 </p>
 <ul>
  <li>
   Build, mentor, and manage a high-performing GIS team, fostering a culture of technical excellence and continuous learning.
  </li>
 </ul>
 <p>
  Develop training programs and knowledge-sharing initiatives to advance GIS skills within the organization
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in geographic information systems (GIS), Geospatial Sciences, Geomatic, or a related field.
  </li>
  <li>
   A master&rsquo;s degree in GIS, Data Science, or Business Administration (MBA) is preferred.
  </li>
  <li>
   Esri Technical Certification is preferred
  </li>
  <li>
   18 years of professional experience in GIS System and Data,
  </li>
  <li>
   Minimum 8 years in GIS Solutions and Enterprise system is preferred
  </li>
  <li>
   At least 7 years in a senior leadership role overseeing complex GIS programs, teams, and budgets
  </li>
  <li>
   Good experience in AI technology
  </li>
  <li>
   Proven ability to develop and execute enterprise GIS strategies.
  </li>
  <li>
   Strong leadership skills to mentor, manage, and inspire high-performing teams.
  </li>
  <li>
   Advanced proficiency in GIS software (ArcGIS, QGIS, MapInfo, Google Earth, etc.) and ESRI products
  </li>
  <li>
   Expertise in geospatial analysis, spatial modelling, and predictive analytics.
  </li>
  <li>
   Deep understanding of land administration, zoning, urban planning, and cadastral mapping.
  </li>
  <li>
   Ability to analyze complex spatial challenges and deliver innovative, data-driven solutions.
  </li>
  <li>
   Advanced skills in managing and maintaining large geospatial datasets, including data collection, cleaning, validation, and storage.
  </li>
  <li>
   Experience with data management, and AI technology
  </li>
  <li>
   Strong presentation skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Benefits:
  </strong>
 </p>
 <p>
  At Dubai Holding, we're committed to nurturing the success and well-being of our colleagues. Join our dynamic and diverse team, and enjoy a comprehensive benefits package that includes competitive compensation, career development opportunities, and a collaborative work environment. We strongly believe in creating an empowered workforce that will help us build a connected city for tomorrow. We are committed to attracting the brightest minds and nurturing the most pioneering candidates who desire to make a great impact on the future of Dubai.
 </p>
</div>


Associate Director - Geospatial - Dubai Holding Land Estates

First Street

<div>
 <strong>
  Company &amp; Mission Overview:
  <br/>
  <br/>
 </strong>
 <strong>
  Our mission:
 </strong>
 We exist to connect climate and financial risk.
 <br/>
 <br/>
 <strong>
  Who we are:
 </strong>
 First Street is the standard for Climate Risk Financial Modeling. For over a decade, we&rsquo;ve been translating climate risk into decision-useful financial outcomes for investors, businesses, communities, and property owners worldwide. With backing from world-class firms, including Innovation Endeavors, Galvanize, General Catalyst, and others, our team has raised millions to change how the global economy thinks about climate change.
 <br/>
 <br/>
 Read more about our culture here and see what Climate Risk Financial Modeling is all about here.
 <br/>
 <br/>
 <strong>
  Our data:
 </strong>
 We&rsquo;ve assembled leading climate scientists and economists to develop transparent, peer-reviewed methodologies to calculate the past, present, and future climate risk for properties and asset classes spanning real estate, infrastructure, and companies. Using physics-based deterministic models, we predict the likelihood of floods, wildfires, hurricanes, and other hazards at any location on Earth, along with associated damage and downtime.
 <br/>
 <br/>
 <strong>
  Our customers:
 </strong>
 We aim to incorporate climate risk data into every financial decision made today. We are relied on every day by:
 <br/>
 <br/>
 <ul>
  <li>
   Institutional investors like Norges Bank Investment Management and Blackstone.
  </li>
  <li>
   Banking enterprises, including Bank of America and Fifth Third.
  </li>
  <li>
   Government bodies ranging from Fannie Mae to the US State of Connecticut.
  </li>
  <li>
   Millions of everyday users on Zillow, Redfin, Realtor.com, Homes.com, and more.
   <br/>
   <br/>
  </li>
 </ul>
 Come join us and use your talents to change the world.
 <br/>
 <br/>
 <strong>
  Team &amp; Role Overview
  <br/>
  <br/>
 </strong>
 We are looking for a Senior Data Engineer to join our team. The successful candidate will be someone who deeply cares about the environment, loves information technology, and appreciates the importance of data for the success of the First Street mission. They will assist in the ingestion of climate risk and ancillary data from First Street modelers and data partners, develop data pipelines, query geospatial databases, calculate applicable statistics, implement Quality Assurance and Quality Control processes, utilize geographical imagery, and ensure that databases and pipelines coordinate and synchronize with APIs, and web services. This individual&rsquo;s expertise and leadership will enable all members of the Data Operations team to be successful in their roles.
 <br/>
 <br/>
 <strong>
  What you&rsquo;ll do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide technical support in the processing, analysis, and interpretation of geospatial observations and modeling data.
  </li>
  <li>
   Develop and implement processes for processing large volumes of hazard prediction data to improve risk assessment quality and accuracy.
  </li>
  <li>
   Plan, execute and workflows on local and cloud-based environments, using technologies such as GDAL, PostgreSQL, Python, Spark
  </li>
  <li>
   Analyze raster and vector data at scale to improve model accuracy, identify quality control issues, and develop suggested remedies for identified issues.
  </li>
  <li>
   Perform statistical analysis to validate hazard model predictions and assess model uncertainties.
  </li>
  <li>
   Design and implement quality assurance checks on the climate risk data and derived statistics
  </li>
  <li>
   Assist in resolution of customer support issues through quality control checks and explanation of the models and risk statistics
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What you&rsquo;ll need:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Data or Climate Science, or a related field
  </li>
  <li>
   5+ years of professional experience
  </li>
  <li>
   Data operations: Experience with the design and use of databases, such as PostgreSQL
  </li>
  <li>
   Programming: Proficiency with SQL queries to efficiently and reproducibly analyze complex datasets preferred. Additional languages like Python also required.
  </li>
  <li>
   GIS knowledge: Experience with writing software to efficiently process and analyze with geospatial data using open source tools
  </li>
  <li>
   Strong understanding of probability and statistics as applied to spatial data
  </li>
  <li>
   Expertise using scripted languages to build data pipelines on both local and cloud-based systems
  </li>
  <li>
   Proficiency with source control platforms such as Git
  </li>
  <li>
   A science-based approach with a high degree of concern for reliability, accuracy and reproducibility
  </li>
  <li>
   Experience in GIS and/or geospatial statistical analysis
  </li>
  <li>
   Nice to have: experience in DBT and Spark
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What will make you stand out:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Previous experience in the physical sciences
  </li>
  <li>
   Masters Degree Preferred
   <br/>
   <br/>
  </li>
 </ul>
 Our anticipated US base salary compensation range for this role is $100,000-150,000 plus stock options and a competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Actual compensation will vary depending on factors such as work location as well as additional factors such as a candidate&rsquo;s qualifications, skills, experience, competencies, and relevant education. Your recruiter can share more about the specific salary range for your location during the hiring process.
 <br/>
 <br/>
 <strong>
  How we work:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Impact: We only focus on things that move the needle
  </li>
  <li>
   Drive: We are driven by the role we play in connecting climate change to financial risk
  </li>
  <li>
   Ownership: This is our company and we act accordingly
  </li>
  <li>
   Urgency: We move quickly because the world depends on it
  </li>
  <li>
   Resilience: We have a growth mindset in all that we do
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we offer:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary commensurate with experience
  </li>
  <li>
   Ownership interest in the company via Employee Stock Option Plan
  </li>
  <li>
   Hybrid Schedule with in-office work days on Monday, Wednesday and Thursday
  </li>
  <li>
   15 vacation days along with 8 statutory company holidays, 5 days for winter break office closure, and 10 sick days
  </li>
  <li>
   Healthcare monthly premium covered at 100% for employee or a significant contribution for family plans
  </li>
  <li>
   Vision and dental benefits with partial employee contribution
  </li>
  <li>
   12 weeks of paid parental leave
  </li>
  <li>
   Access to One Medical, Teledoc, HealthAdvocate, Kindbody, and Talkspace
  </li>
  <li>
   Company 401k program
  </li>
  <li>
   Commuter benefits
  </li>
  <li>
   Life Insurance
  </li>
  <li>
   Tech startup environment
  </li>
  <li>
   Weekly team meals and an office stocked with coffee and snacks
  </li>
  <li>
   Working on the world&rsquo;s biggest issue with other passionate professionals
   <br/>
   <br/>
  </li>
 </ul>
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 <br/>
 <br/>
 <strong>
  Once you've applied, please be sure to check your spam folder, as emails from our recruiting team are sometimes rerouted.
  <br/>
  <br/>
 </strong>
</div>


Senior Data Engineer

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Associate Director - Geospatial - Dubai Holding Land Estates

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