geospatial analyst

Nabat

<div>
 
 
 Nabat is a climate-tech startup based in the UAE using advanced technology to protect and restore natural ecosystems with precision and scale!
 
 We operate at the intersection of ecological &amp; environmental sciences, GIS, AI, and robotics. Our mission is to enable data-driven, science-backed ecosystem management and restoration at the speed and scale necessary to address the critical challenges of climate change, deforestation, land erosion, and biodiversity loss. Our comprehensive solution - consisting of ecosystem management software, precision aerial seeding drones, AI &amp; ecological models, and restoration services - is already being used to plant millions of mangroves in the UAE. But we&rsquo;re just getting started, as we build our platform to serve the needs of coastal, marine and arid ecosystems around the world.
 
 
 
 
 
 If this mission resonates with you, let&rsquo;s talk!
 
 
 
 
 
 📍
 
 Relocation to the UAE is required
 
 &ndash; generous relocation benefits and visa sponsorship (for the employee and their family) will be provided.
 
 
 
 
 
 We are seeking a
 
 GIS Data Analyst
 
 to support the ingestion, processing, and analysis of geospatial data that powers the insights in our ecosystem management platform. In this role, you will work closely with flight operations, ecologists, data engineers, and data scientists to
 
 own the complete geospatial data processing workflow
 
 . You will be responsible for ingesting different types of raw data (drones, satellites, field, RGB, MSP, LIDAR to name a few) into the cloud, kicking off and monitoring processing pipelines (including photogrammetry, georeferencing, tiling, labelling), production of client-ready GIS products &amp; insights (orthomosaics, maps, layers, etc), performing QA/QC, and generally being an expert on all things data! You will also support AI model development through preparation of training data, labelling and annotation, and publishing final maps and layers.
 
 
 
 
 
 This is a
 
 hands-on data analytics role
 
 (not software development) that requires strong exposure to multi-modal geospatial &amp; remote sensing data, automated processing workflows, and data processing and visualization tools (such as Pix4D, MetaShape, LAStools, Capture Pro, QGIS, ArcGIS, Google Earth).
 
 
 
 
 
 
 🔹Your responsibilities will include:
 
 
 
 
 
 <ul>
 <li>
 Ingestion, processing, analysis, and QA/QC of geospatial data of different types and sources (e.g., multispectral drone imagery, LiDAR, SAR, satellite data)
 </li>
 <li>
 Support the development and deployment of AI/ML algorithms for geospatial data processing and analysis
 </li>
 <li>
 Build, manage, and query spatial databases (e.g., PostGIS, Oracle Spatial) to enable analytics and visualization
 </li>
 <li>
 Collaborate with AI, robotics, and ecology teams to integrate geospatial data into autonomous mapping, seeding, and monitoring systems
 </li>
 <li>
 Perform data validation, quality checks, and consistency monitoring across platforms
 </li>
 <li>
 Document data pipelines, workflows, and system components
 </li>
 <li>
 Stay up to date with GIS and geospatial data engineering best practices and contribute improvement ideas
 </li>
 </ul>
 
 
 
 
 
 🔹What are we looking for?
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Geospatial Science, Geography, Computer Science, Engineering, or a related field
 </li>
 <li>
 3+ years of experience in data analytics, geospatial data processing, or a related role
 </li>
 <li>
 Proficiency with GIS tools such as ArcGIS and QGIS
 </li>
 <li>
 Experience working with spatial databases
 </li>
 <li>
 Familiarity with cloud platforms (e.g., AWS, Google Cloud) and data visualization tools
 </li>
 <li>
 Strong problem-solving skills and ability to work effectively in a multidisciplinary team
 </li>
 </ul>
 
 
 
 
 
 🔹Preferred Qualifications
 
 
 
 
 
 <ul>
 <li>
 Experience processing and analyzing remote sensing data
 </li>
 <li>
 Exposure to ecological, environmental, or Earth observation datasets
 </li>
 <li>
 Familiarity with machine learning techniques applied to geospatial data
 </li>
 <li>
 Experience working with large-scale or real-time data pipelines
 </li>
 </ul>
 
 
 
 
 
 🔹Why join Nabat?
 
 
 
 
 
 
 A once-in-a-lifetime opportunity to:
 
 
 
 
 <ul>
 <li>
 
 Join a well-funded early-stage tech startup
 
 at the intersection of some of the most exciting, disruptive and innovative technologies in the world - geospatial AI, remote sensing, drone robotics, ecology &amp; agricultural science.
 </li>
 <li>
 
 Relocate to Abu Dhabi &ndash; one of the safest, most livable, expat-friendly cities in the world
 
 - with an &ldquo;all inclusive&rdquo; relocation package for you and your family, that includes work &amp; residence visa sponsorship, business class flights, orientation tour, school and house search, and luxury hotel stay until you find your new home.
 </li>
 <li>
 
 Make a real and direct impact
 
 to solving the most critical challenges of our time &ndash; climate change and ecosystem loss.
 </li>
 <li>
 Build partnerships that matter!
 </li>
 </ul>
 
 
 
 
 
 🔹What is the hiring process like?
 
 
 
 
 
 
 We believe in making your hiring and onboarding seamless and transparent. Here is what to expect from us:
 
 
 
 
 <ul>
 <li>
 
 Initial screening call
 
 with a member of our Talent team to ensure expectations and experience aligns.
 </li>
 <li>
 
 First interview with hiring manager
 
 about the role and ask questions &ndash;
 
 Taha Ghaznavi
 
 , Chief Product Officer, Nabat.
 </li>
 <li>
 
 Second interview with technical team member(s)
 
 to assess your capabilities. Might include a coding test and/or small case study.
 </li>
 <li>
 
 Third interview with a senior leader
 
 to assess culture fit and give you the opportunity to meet your future stakeholders.
 </li>
 <li>
 Hiring decision and conditional offer.
 </li>
 <li>
 Background check and final offer.
 </li>
 <li>
 Relocation to the UAE and onboarding!
 </li>
 </ul>
 
 
 
 
 Apply with your CV and tell us what makes you &amp; your experience a great fit for Nabat.
 
 
 
</div>

GIS Data Analyst

SAIC

<div>Job ID: 2610243
Location: San Diego, CA, US
Date Posted: 2026-03-13
Category: Information Technology
Subcategory: Database Engr
Schedule: Full-Time
Shift: Day Job
Travel: Yes - 10% of the time
Minimum Clearance Required: Top_Secret
Clearance Level Must Be Able to Obtain: TS/SCI
Potential for Remote Work: ORA_ON_SITE 
Description
 SAIC is seeking a Data Engineer in support of NAVWAR&rsquo;s Naval Operational Architecture (NOA) program in San Diego, CA. The Data Engineer will support a transformational, Navy-led network-centric initiative that converges existing systems, automating the correlation of multiple ISR data streams, dramatically reducing the &quot;sensor-to-shooter&quot; timeline. This is a recently awarded contract, funded for five years.
Work is performed on site in San Diego. SAIC is seeking a Data Engineer in support of NAVWAR&rsquo;s Naval Operational Architecture (NOA) program in San Diego, CA. The Data Engineer will support a transformational, Navy-led network-centric initiative that converges existing systems, automating the correlation of multiple ISR data streams, dramatically reducing the &quot;sensor-to-shooter&quot; timeline. This is a recently awarded contract, funded for five years.
Work is performed ON-SITE in San Diego, CA.
There will be up to 15% of travel involved
 Please view our program page for more information and to view all open positions available: https://jobs.saic.com/pages/NOA
JOB DUTIES:<ul><li>
Conduct data pre-processing, exploratory data analysis, and data pipeline engineering to ensure performant and high-quality data output.</li><li>
Conduct thorough testing and validation of data pipelines and analytics to ensure accuracy, reliability, and robustness.</li><li>
Design or normalize data to common standards to support interoperability and analytical workflows.</li><li>
Develop and deploy data pipelines and analytics in real-world applications.</li><li>
Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC.</li><li>
Perform exploratory data analysis, algorithm development, and testing.</li><li>
Deploy, monitor, and improve data pipelines for operational environments.</li><li>
Implement event streaming pipelines using Apache Kafka, RabbitMQ, or ZeroMQ.</li><li>
Collaborate with analytics, engineering, and mission teams to ensure effective data integration and output quality.</li><li>
Stay current with emerging trends in data engineering, distributed systems, and modern data architecture.</li><li>
Document data processes, pipeline structures, and engineering best practices.</li></ul>
Qualifications
Education and Years of Experience Requirements:<ul><li>
Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field and eight (8) years of experience in of AI/ML experience in defense or intelligence environments. Years of equivalent experience in lieu of degree to be taken into consideration</li></ul>
Citizenship and Clearance requirements:<ul><li>
No dual citizenship.</li><li>
Active Top Secret clearance required to start; TS SCI clearance preferred.</li></ul>
Required Skills and Experience:<ul><li>
Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages</li><li>
3 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field.</li><li>
Willingness to travel</li><li>
100% On Site willingness</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 reoccurring 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>
Ability to operate in a DDIL office environment</li><li>
Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position.</li><li>
Candidates should be prepared to complete a coding exercise as part of the interview process.</li></ul>
Preferred Skills and Experience:<ul><li>
Experience with large-scale data architecture across secure DoD or government environments.</li><li>
Experience supporting NAVWAR, NIWC Pacific, or other Navy programs.</li><li>
Experience integrating production data pipelines and analytics into operational mission systems, including secure deployment, monitoring, troubleshooting, and performance tuning.</li><li>
Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments</li><li>
Experience designing and/or normalizing data to common standards to support interoperability across teams/systems.</li><li>
Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC)</li><li>
Familiarity with event streaming platforms (e.g., Apache Kafka, RabbitMQ, ZeroMQ)</li><li>
Experience with data pipeline frameworks and libraries (e.g., Apache Airflow, dbt, AirByte, Apache Iceberg, Snowflake or similar)</li><li>
Experience with geospatial data retrieving and managing GIS data (e.g., ArcGIS, PostGIS)</li><li>
Expertise with Elasticsearch, Redis, S3, PostgreSQL, or similar data stores.</li><li>
Experience with distributed computing (AWS Lambda, DASK, Spark).</li><li>
Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).</li><li>
Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints)</li></ul>
Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.</div>

Data Engineer (Op AI)

United Utility

<div>About Us

Welcome to United Utility Services, a dynamic player in the electric utility industry. As a trailblazer, we provide comprehensive and innovative offerings that bolster power infrastructure investments across the U.S. We proudly serve as the parent company to industry-leading utility service contractors specializing in transmission, substation, distribution, and grid hardening projects. Our Core Values are clear and simple: Safety, Quality, Integrity, and Professionalism. At United Utility Services, we craft power delivery solutions &ndash; built safe, engineered smart, and driven by what customers demand &ndash; fueling communities with reliable energy. We are the best-in-class, trusted partner delivering customer-centric Power Delivery Construction and Engineering solutions. 


About The Role

The Geospatial Solutions Supervisor is responsible for leading geospatial data processing, quality control, and solutions engineering for the survey department. This role designs, implements, and optimizes geospatial workflows, data pipelines, and platforms that support LiDAR, GPR, RGB/thermal imagery, and GIS deliverables. The Geospatial Solutions Supervisor plays a key role in research and development of new service offerings, manages day-to-day data operations, and collaborates closely with field teams to ensure accurate, high-value deliverables. The position also maintains a working understanding of field operations so that basic operational support can be provided when the Field Operations Supervisor is unavailable. 


Key Responsibilities

Geospatial Solutions and Innovation:

o Identify opportunities to improve survey data processing pipelines, geospatial

data integration, and reporting workflows.

o Design and implement custom tools, scripts, and processes (e.g., automation,

batch processing, API integrations) to enhance data throughput and consistency.

o Pilot new technologies and platforms such as AI-assisted classification, advanced

analytics, and real-time data delivery to clients.

o Lead or actively contribute to research and development initiatives for new

geospatial service offerings and products.

o Stay current with emerging geospatial, UAS, and data analytics technologies, and

integrate relevant advancements into operational practices.

 Data Management and Quality Control:
o Oversee the ingestion, organization, and processing of LiDAR, GPR, thermal

imagery, and other field data collected by internal teams and partners.

o Establish and enforce quality control standards and checklists to ensure data

accuracy, completeness, and consistency across projects.

o Manage GIS datasets, including schema design, attribution standards, and

integration into internal and client-facing platforms.

o Coordinate with field teams to resolve data quality issues, identify root causes,

and update procedures to prevent recurrence.

o Ensure data security, integrity, and appropriate backup/archiving practices for all

geospatial datasets.

 Platform and Workflow Integration:

o Configure and manage geospatial platforms and tools (e.g., LiDAR processing

software, GIS systems, cloud-hosted data portals) used by the department.

o Work with internal IT, software vendors, and cloud providers to optimize system

performance and storage strategies.

o Develop and maintain documented workflows for data processing, asset

extraction, classification, and delivery.

o Implement and manage API-based integrations and data exchanges between

internal systems and client systems where required.

o Support user training and troubleshooting for internal staff working within

geospatial platforms.

Technical Leadership and Mentoring:

o Provide technical leadership to Field Survey Data Processing Analysts and other

staff involved in geospatial work.

o Develop training materials and conduct sessions to upskill team members on

LiDAR processing, GIS tools, and data QA processes.

o Serve as a technical point of escalation for complex data or workflow issues.

o Promote a culture of continuous learning and innovation within the geospatial

team.

 Client-Facing Technical Consulting:
o Collaborate with project managers and business development to understand

client needs and translate them into geospatial solutions.

o Present and explain technical approaches, data products, and innovation

roadmaps to clients in a clear, consultative manner.

o Support proposal writing and scope development by defining geospatial

methods, assumptions, and deliverable standards.

o Participate in client review meetings to address technical questions and gather

feedback for ongoing improvement.

 Cross-Functional Support and Collaboration:
o Work closely with the Field Operations Supervisor to ensure that field

methodologies align with downstream data requirements.

o Provide guidance to field teams on data capture standards, naming conventions,

and metadata collection.

o Maintain a base-level understanding of field operations, equipment, and safety

considerations to provide limited operational support when needed (e.g.,

advising on data collection parameters, reviewing field routes for data

sufficiency).

o Share insights from geospatial analysis that can improve field planning, safety,

and operational efficiency.

Administrative and Strategic Support:

o Assist the Superintendent of Field Services with strategic planning related to

technology adoption, staffing needs, and service expansion.

o Support documentation efforts, including SOPs, best practices, and technical

standards for geospatial work.

o Contribute to budget planning and tracking for software licenses, cloud

utilization, and geospatial R&amp;D initiatives.

o Perform other tasks related to the geospatial and survey department as directed

by the Superintendent 


Key Qualifications

Education:
o Associate or bachelor&rsquo;s degree in Geomatics, Surveying, Geography, GIS, Remote

Sensing, Computer Science, Civil Engineering, or a related field; or equivalent

professional experience.

o Strong foundational knowledge in geospatial technology and principles.

o FAA Part 107 Certification and/or knowledge of UAS operations preferred.

 Technical Skills:

o Extensive expertise in LiDAR data processing, including understanding of LAS file

formats, classification schemas, and quality metrics.

o Proficiency in GIS applications (e.g., ArcGIS, QGIS) and integration between

various geospatial and CAD formats.

o Experience with scripting/automation tools (e.g., Python, batch processing, or

similar) for data processing and workflow optimization.

o Familiarity with AI/ML-assisted classification, point cloud analytics, or similar

advanced techniques is preferred.

o Strong knowledge of T&amp;D infrastructure, including power lines, poles, and

related components.

 Operational Management:

o Experience managing geospatial data pipelines, project queues, and deadlines

across multiple concurrent projects.

o Ability to work collaboratively with both office-based and field-based staff, and

to travel occasionally to project locations as needed.

 Software Proficiency:

o Strong proficiency with Microsoft Office Suite, Adobe Pro, and geospatial

software platforms (LiDAR processing tools, GIS, and/or photogrammetry tools).

o Experience with data integration tools, cloud-hosted platforms, and

understanding of API usage for system integration.

 Communication:

o Superior interpersonal and communication skills, with experience in client-facing

technical roles and cross-functional collaboration.

o Ability to document technical work clearly and produce concise technical

reports, standards, and training materials.

 Personal Attributes:

o Highly organized, analytical, and detail-oriented, with a strong focus on quality

and continuous improvement.

o Strong problem-solving skills and the ability to make sound decisions under

pressure and tight deadlines.

o Curiosity and willingness to explore new tools and methods to keep the

organization on the leading edge of geospatial technology.

 Training and Development:

o Demonstrated ability to train and mentor others in complex technical topics.

o Skill in simplifying and effectively communicating complex geospatial concepts to

diverse audiences, including non-technical stakeholders.

Key Info

 While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand, and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stand, walk, and reach with their arms. 


Accessibility: If you need an accommodation as part of the employment process, please contact 
Email: HRSC@unitedutility.com 
 
Equal Opportunity Employer is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.</div>

Geospatial Data Supervisor (GIS/LiDAR, Utility Infrastructure)

PMAT Inc.

<div>This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. 
About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. 
We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. 
Whether you&rsquo;re an experienced engineer or just beginning your career, you&rsquo;ll work alongside experts who are committed to solving mission-critical problems. If you&rsquo;re passionate about using your skills to make a real difference, apply today and become part of a team that&rsquo;s shaping the future of defense technology! 
About the Role: PMAT is seeking a Data Engineer to support the design, development, and deployment of high-quality data pipelines and analytics for mission-focused applications. This role integrates data engineering, exploratory data analysis, distributed systems, and cloud-native technologies to deliver performant, reliable, and secure data capabilities. The Data Engineer will collaborate across multidisciplinary teams to ensure high-quality data output, robust testing, and operational readiness in support of DoD missions. 
Responsibilities:
<ul>
<li>Conduct data pre-processing, exploratory data analysis, and data pipeline engineering to ensure performant and high-quality data output.</li>
<li>Conduct thorough testing and validation of data pipelines and analytics to ensure accuracy, reliability, and robustness.</li>
<li>Design or normalize data to common standards to support interoperability and analytical workflows.</li>
<li>Develop and deploy data pipelines and analytics in real-world applications.</li>
<li>Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC.</li>
<li>Perform exploratory data analysis, algorithm development, and testing.</li>
<li>Deploy, monitor, and improve data pipelines for operational environments.</li>
<li>Implement event streaming pipelines using Apache Kafka, RabbitMQ, or ZeroMQ.</li>
<li>Collaborate with analytics, engineering, and mission teams to ensure effective data integration and output quality.</li>
<li>Stay current with emerging trends in data engineering, distributed systems, and modern data architecture.</li>
<li>Document data processes, pipeline structures, and engineering best practices.</li></ul> 


Required Skills and Experience:
<ul>
<li>Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages</li>
<li>3 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field.</li>
<li>Willingness to travel</li>
<li>100% On Site willingness 
</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 reoccurring 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>Ability to operate in a DDIL office environment</li>
<li>Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position.</li>
<li>Candidates should be prepared to complete a coding exercise as part of the interview process.</li></ul> 


Preferred Skills and Experience:
<ul>
<li>Experience with large-scale data architecture across secure DoD or government environments.</li>
<li>Experience supporting NAVWAR, NIWC Pacific, or other Navy programs.</li>
<li>Experience integrating production data pipelines and analytics into operational mission systems, including secure deployment, monitoring, troubleshooting, and performance tuning.</li>
<li>Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments</li>
<li>Experience designing and/or normalizing data to common standards to support interoperability across teams/systems.</li>
<li>Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC)</li>
<li>Familiarity with event streaming platforms (e.g., Apache Kafka, RabbitMQ, ZeroMQ)</li>
<li>Experience with data pipeline frameworks and libraries (e.g., Apache Airflow, dbt, AirByte, Apache Iceberg, Snowflake or similar)</li>
<li>Experience with geospatial data retrieving and managing GIS data (e.g., ArcGIS, PostGIS)</li>
<li>Expertise with Elasticsearch, Redis, S3, PostgreSQL, or similar data stores.</li>
<li>Experience with distributed computing (AWS Lambda, DASK, Spark).</li>
<li>Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).</li>
<li>Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints)</li></ul> 


Education and Certification Requirements:
<ul>
<li>Equivalent years of relevant experience in lieu of degree</li>
<li>Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics.</li>
<li>Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus if required by contract.</li></ul> 


Citizenship and Clearance Requirements:
<ul>
<li>US Citizenship</li>
<li>No dual citizenship</li>
<li>Active DoD TS clearance required</li>
<li>Active DOD TS SCI preferred</li></ul> 


Location:
<ul>
<li>On site, AIR FORCE TENCAP, COLORADO SPRINGS, CO</li></ul> 


Travel:
<ul>
<li>Up to 15% CONUS (and occasional OCONUS if mission requires).</li></ul> 
Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. 
PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

#CJ</div>

Data Engineer (Op AI) - TS clearance - Colorado Springs, CO

<div>This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. 
About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. 
We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. 
Whether you&rsquo;re an experienced engineer or just beginning your career, you&rsquo;ll work alongside experts who are committed to solving mission-critical problems. If you&rsquo;re passionate about using your skills to make a real difference, apply today and become part of a team that&rsquo;s shaping the future of defense technology! 
About the Role: PMAT is seeking a Data Engineer to support the design, development, and deployment of high-quality data pipelines and analytics for mission-focused applications. This role integrates data engineering, exploratory data analysis, distributed systems, and cloud-native technologies to deliver performant, reliable, and secure data capabilities. The Data Engineer will collaborate across multidisciplinary teams to ensure high-quality data output, robust testing, and operational readiness in support of DoD missions. 
Responsibilities:
<ul>
<li>Conduct data pre-processing, exploratory data analysis, and data pipeline engineering to ensure performant and high-quality data output.</li>
<li>Conduct thorough testing and validation of data pipelines and analytics to ensure accuracy, reliability, and robustness.</li>
<li>Design or normalize data to common standards to support interoperability and analytical workflows.</li>
<li>Develop and deploy data pipelines and analytics in real-world applications.</li>
<li>Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC.</li>
<li>Perform exploratory data analysis, algorithm development, and testing.</li>
<li>Deploy, monitor, and improve data pipelines for operational environments.</li>
<li>Implement event streaming pipelines using Apache Kafka, RabbitMQ, or ZeroMQ.</li>
<li>Collaborate with analytics, engineering, and mission teams to ensure effective data integration and output quality.</li>
<li>Stay current with emerging trends in data engineering, distributed systems, and modern data architecture.</li>
<li>Document data processes, pipeline structures, and engineering best practices.</li></ul> 


Required Skills and Experience:
<ul>
<li>Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages</li>
<li>3 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field.</li>
<li>Willingness to travel</li>
<li>100% On Site willingness 
</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 reoccurring 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>Ability to operate in a DDIL office environment</li>
<li>Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position.</li>
<li>Candidates should be prepared to complete a coding exercise as part of the interview process.</li></ul> 


Preferred Skills and Experience:
<ul>
<li>Experience with large-scale data architecture across secure DoD or government environments.</li>
<li>Experience supporting NAVWAR, NIWC Pacific, or other Navy programs.</li>
<li>Experience integrating production data pipelines and analytics into operational mission systems, including secure deployment, monitoring, troubleshooting, and performance tuning.</li>
<li>Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments</li>
<li>Experience designing and/or normalizing data to common standards to support interoperability across teams/systems.</li>
<li>Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC)</li>
<li>Familiarity with event streaming platforms (e.g., Apache Kafka, RabbitMQ, ZeroMQ)</li>
<li>Experience with data pipeline frameworks and libraries (e.g., Apache Airflow, dbt, AirByte, Apache Iceberg, Snowflake or similar)</li>
<li>Experience with geospatial data retrieving and managing GIS data (e.g., ArcGIS, PostGIS)</li>
<li>Expertise with Elasticsearch, Redis, S3, PostgreSQL, or similar data stores.</li>
<li>Experience with distributed computing (AWS Lambda, DASK, Spark).</li>
<li>Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).</li>
<li>Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints)</li></ul> 


Education and Certification Requirements:
<ul>
<li>Equivalent years of relevant experience in lieu of degree</li>
<li>Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics.</li>
<li>Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus if required by contract.</li></ul> 


Citizenship and Clearance Requirements:
<ul>
<li>US Citizenship</li>
<li>No dual citizenship</li>
<li>Active DoD TS clearance required</li>
<li>Active DOD TS SCI preferred</li></ul> 


Location:
<ul>
<li>On site, NIWC ATLANTIC LOCATION, SCHARLESTON, SC</li></ul> 


Travel:
<ul>
<li>Up to 15% CONUS (and occasional OCONUS if mission requires).</li></ul> 
Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. 
PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

#CJ</div>

Data Engineer (Op AI) - TS clearance - N. Charleston, SC

<div>This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. 
About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. 
We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. 
Whether you&rsquo;re an experienced engineer or just beginning your career, you&rsquo;ll work alongside experts who are committed to solving mission-critical problems. If you&rsquo;re passionate about using your skills to make a real difference, apply today and become part of a team that&rsquo;s shaping the future of defense technology! 
About the Role: PMAT is seeking a Data Engineer to support the design, development, and deployment of high-quality data pipelines and analytics for mission-focused applications. This role integrates data engineering, exploratory data analysis, distributed systems, and cloud-native technologies to deliver performant, reliable, and secure data capabilities. The Data Engineer will collaborate across multidisciplinary teams to ensure high-quality data output, robust testing, and operational readiness in support of DoD missions. 
Responsibilities:
<ul>
<li>Conduct data pre-processing, exploratory data analysis, and data pipeline engineering to ensure performant and high-quality data output.</li>
<li>Conduct thorough testing and validation of data pipelines and analytics to ensure accuracy, reliability, and robustness.</li>
<li>Design or normalize data to common standards to support interoperability and analytical workflows.</li>
<li>Develop and deploy data pipelines and analytics in real-world applications.</li>
<li>Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC.</li>
<li>Perform exploratory data analysis, algorithm development, and testing.</li>
<li>Deploy, monitor, and improve data pipelines for operational environments.</li>
<li>Implement event streaming pipelines using Apache Kafka, RabbitMQ, or ZeroMQ.</li>
<li>Collaborate with analytics, engineering, and mission teams to ensure effective data integration and output quality.</li>
<li>Stay current with emerging trends in data engineering, distributed systems, and modern data architecture.</li>
<li>Document data processes, pipeline structures, and engineering best practices.</li></ul> 


Required Skills and Experience:
<ul>
<li>Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages</li>
<li>3 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field.</li>
<li>Willingness to travel</li>
<li>100% On Site willingness 
</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 reoccurring 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>Ability to operate in a DDIL office environment</li>
<li>Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position.</li>
<li>Candidates should be prepared to complete a coding exercise as part of the interview process.</li></ul> 


Preferred Skills and Experience:
<ul>
<li>Experience with large-scale data architecture across secure DoD or government environments.</li>
<li>Experience supporting NAVWAR, NIWC Pacific, or other Navy programs.</li>
<li>Experience integrating production data pipelines and analytics into operational mission systems, including secure deployment, monitoring, troubleshooting, and performance tuning.</li>
<li>Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments</li>
<li>Experience designing and/or normalizing data to common standards to support interoperability across teams/systems.</li>
<li>Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC)</li>
<li>Familiarity with event streaming platforms (e.g., Apache Kafka, RabbitMQ, ZeroMQ)</li>
<li>Experience with data pipeline frameworks and libraries (e.g., Apache Airflow, dbt, AirByte, Apache Iceberg, Snowflake or similar)</li>
<li>Experience with geospatial data retrieving and managing GIS data (e.g., ArcGIS, PostGIS)</li>
<li>Expertise with Elasticsearch, Redis, S3, PostgreSQL, or similar data stores.</li>
<li>Experience with distributed computing (AWS Lambda, DASK, Spark).</li>
<li>Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).</li>
<li>Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints)</li></ul> 


Education and Certification Requirements:
<ul>
<li>Equivalent years of relevant experience in lieu of degree</li>
<li>Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics.</li>
<li>Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus if required by contract.</li></ul> 


Citizenship and Clearance Requirements:
<ul>
<li>US Citizenship</li>
<li>No dual citizenship</li>
<li>Active DoD TS clearance required</li>
<li>Active DOD TS SCI preferred</li></ul> 


Location:
<ul>
<li>On site, NAVY POST GRADUATE SCHOOL, MONTEREY, CA</li></ul> 


Travel:
<ul>
<li>Up to 15% CONUS (and occasional OCONUS if mission requires).</li></ul> 
Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. 
PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

#CJ</div>

Data Engineer (Op AI) - TS clearance - Monterey, CA

<div>This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. 
About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. 
We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. 
Whether you&rsquo;re an experienced engineer or just beginning your career, you&rsquo;ll work alongside experts who are committed to solving mission-critical problems. If you&rsquo;re passionate about using your skills to make a real difference, apply today and become part of a team that&rsquo;s shaping the future of defense technology! 
About the Role: PMAT is seeking a Data Engineer to support the design, development, and deployment of high-quality data pipelines and analytics for mission-focused applications. This role integrates data engineering, exploratory data analysis, distributed systems, and cloud-native technologies to deliver performant, reliable, and secure data capabilities. The Data Engineer will collaborate across multidisciplinary teams to ensure high-quality data output, robust testing, and operational readiness in support of DoD missions. 
Responsibilities:
<ul>
<li>Conduct data pre-processing, exploratory data analysis, and data pipeline engineering to ensure performant and high-quality data output.</li>
<li>Conduct thorough testing and validation of data pipelines and analytics to ensure accuracy, reliability, and robustness.</li>
<li>Design or normalize data to common standards to support interoperability and analytical workflows.</li>
<li>Develop and deploy data pipelines and analytics in real-world applications.</li>
<li>Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC.</li>
<li>Perform exploratory data analysis, algorithm development, and testing.</li>
<li>Deploy, monitor, and improve data pipelines for operational environments.</li>
<li>Implement event streaming pipelines using Apache Kafka, RabbitMQ, or ZeroMQ.</li>
<li>Collaborate with analytics, engineering, and mission teams to ensure effective data integration and output quality.</li>
<li>Stay current with emerging trends in data engineering, distributed systems, and modern data architecture.</li>
<li>Document data processes, pipeline structures, and engineering best practices.</li></ul> 


Required Skills and Experience:
<ul>
<li>Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages</li>
<li>3 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field.</li>
<li>Willingness to travel</li>
<li>100% On Site willingness 
</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 reoccurring 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>Ability to operate in a DDIL office environment</li>
<li>Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position.</li>
<li>Candidates should be prepared to complete a coding exercise as part of the interview process.</li></ul> 


Preferred Skills and Experience:
<ul>
<li>Experience with large-scale data architecture across secure DoD or government environments.</li>
<li>Experience supporting NAVWAR, NIWC Pacific, or other Navy programs.</li>
<li>Experience integrating production data pipelines and analytics into operational mission systems, including secure deployment, monitoring, troubleshooting, and performance tuning.</li>
<li>Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments</li>
<li>Experience designing and/or normalizing data to common standards to support interoperability across teams/systems.</li>
<li>Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC)</li>
<li>Familiarity with event streaming platforms (e.g., Apache Kafka, RabbitMQ, ZeroMQ)</li>
<li>Experience with data pipeline frameworks and libraries (e.g., Apache Airflow, dbt, AirByte, Apache Iceberg, Snowflake or similar)</li>
<li>Experience with geospatial data retrieving and managing GIS data (e.g., ArcGIS, PostGIS)</li>
<li>Expertise with Elasticsearch, Redis, S3, PostgreSQL, or similar data stores.</li>
<li>Experience with distributed computing (AWS Lambda, DASK, Spark).</li>
<li>Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).</li>
<li>Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints)</li></ul> 


Education and Certification Requirements:
<ul>
<li>Equivalent years of relevant experience in lieu of degree</li>
<li>Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics.</li>
<li>Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus if required by contract.</li></ul> 


Citizenship and Clearance Requirements:
<ul>
<li>US Citizenship</li>
<li>No dual citizenship</li>
<li>Active DoD TS clearance required</li>
<li>Active DOD TS SCI preferred</li></ul> 


Location:
<ul>
<li>On site, 1ST SPACE BRIGADE, FORT CARSON, CO</li></ul> 


Travel:
<ul>
<li>Up to 15% CONUS (and occasional OCONUS if mission requires).</li></ul> 
Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. 
PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

#CJ</div>

Data Engineer (Op AI) - TS clearance - Fort Carson, CO

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