... Google Earth Engine, etc.) to automate scientific processes of SAR imagery data to aid analysis * Exhibit a deep understanding of the principles of remote sensing and imagery processing and advanced ...
... Google Earth Engine, etc.) to automate scientific processes of SAR imagery data to aid analysis * Exhibit a deep understanding of the principles of remote sensing and imagery processing and advanced ...
Google Earth Engine information
See Massachusetts salary details
$13.13 - $15.66
7% of jobs
$15.66 - $18.19
9% of jobs
$18.70 is the 25th percentile. Wages below this are outliers.
$18.19 - $20.72
45% of jobs
$20.72 - $23.25
10% of jobs
$25.14 is the 75th percentile. Wages above this are outliers.
$23.25 - $25.78
6% of jobs
$25.78 - $28.31
6% of jobs
$28.31 - $30.84
4% of jobs
$30.84 - $33.36
2% of jobs
$33.36 - $35.89
3% of jobs
$35.89 - $38.42
3% of jobs
$38.42 - $40.95
4% of jobs
$13
$24
$40
How much do google earth engine jobs pay per hour?
What is a Google Earth Engine?
A Google Earth Engine job typically involves working with Google's cloud-based geospatial analysis platform to process and analyze satellite imagery and geospatial data. Professionals in this role use JavaScript or Python within the Earth Engine API to conduct remote sensing, land-use monitoring, environmental research, and spatial data visualization. These jobs are common in fields like environmental science, urban planning, agriculture, and disaster management, where large-scale geographic data analysis is required.
What are the common responsibilities of a Google Earth Engine professional?
Professionals in Google Earth Engine roles are typically responsible for collecting, processing, and analyzing large datasets derived from satellite or aerial imagery. Their daily tasks may include developing scripts to automate geospatial workflows, creating visualizations and maps, and generating actionable insights for environmental monitoring or resource management. Collaboration with cross-functional teams—such as data scientists, researchers, and decision-makers—is common to ensure that analytical results are clearly understood and practically applied. Staying updated on new data sources, platform features, and best practices is also an essential part of the role.
What skills and qualifications are needed for a Google Earth Engine role?
To thrive in a Google Earth Engine role, you need a solid background in remote sensing, geospatial analysis, and programming (especially JavaScript and Python), along with a relevant degree in environmental science, geography, or a related field. Experience with the Google Earth Engine platform, geospatial data processing tools, and cloud computing is highly valued. Strong analytical thinking, problem-solving, and effective communication skills help professionals collaborate and clearly present findings. These qualifications are vital to efficiently analyze large-scale geospatial data and translate insights into real-world environmental and business solutions.
What are popular job titles related to Google Earth Engine jobs in Massachusetts?
For Google Earth Engine jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Google Earth Engine jobs in Massachusetts look for?
The top searched job categories for Google Earth Engine jobs in Massachusetts are:
What cities in Massachusetts are hiring for Google Earth Engine jobs?
Cities in Massachusetts with the most Google Earth Engine job openings:

ManTech rating
8.8
Based on 15 frontline employees who took The Breakroom Quiz
48th of 247 rated software companies
Job description
hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.
MANTECH seeks a motivated, career and customer-oriented Expert SAR Imagery Scientist to join our team in Springfield, VA. This is a full-time onsite position.
Responsibilities include but are not limited to:
- Conduct assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms.
- Assess potential differences in metadata, data format, and data structure characteristics in regard to changes to databases, schemas, APls, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline.
- Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains.
- Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.
- Investigate any gaps in the emerging sensor capability that may need to be supplemented by other sources.
- Explore options for coincident imagery collects from other imagery platforms (e.g., EO platforms) that align with areas of emerging sensor's collection. Determine other platforms with similar geographic and temporal coverage.
Minimum Qualifications:
- 20+ years of experience; BA/BS can account for 4 years while a MA/MS can account for 6 years of experience.
- 6+ years as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products is required.
- Experience using SARPy and Matlab SAR toolbox
- Experience in RNIIRS, information theoretic-based image quality metrics, SAR imagery quality metrics (e.g., Integrated Side lobe Ratio, Multiplicative Noise Ratio}, and sensor metadata describing impacts of geometry on phenomenology (e.g., graze, squint, azimuth)
- Experience exploiting SAR to determine the occurrence and location of objects of interest
- Experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using SAR imagery including experience utilizing advanced processing tools (e.g., Python, MATLAB, Google Earth Engine, etc.) to automate scientific processes of SAR imagery data to aid analysis
- Exhibit a deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods
Preferred Qualifications:
- Experience applying CV and machine learning (ML) techniques to SAR imagery and data to address intelligence problems
Clearance Requirements:
- An active TS/SCI clearance with the ability to obtain and maintain a polygraph
Physical Requirements:
- Must be able to remain in a stationary position for extended periods while performing imagery analysis and reporting.
- Must be able to occasionally move about the work area to collaborate with team members and access mission systems.
About ManTech
Sourced by ZipRecruiter
Industry
It services
Company size
5,001 - 10,000 Employees
Headquarters location
Herndon, VA, US
Year founded
1968