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Remote Google Earth Engine Developer Jobs in Pittsburgh, PA

ERM

Right of Way (ROW) Agent (Field Based)

Pittsburgh, PA · On-site +1

$34.19 - $40.20/hr

... Google Earth, ArcGIS and data management software. * Knowledgeable in real estate values and accepted real estate appraisal practices. * Ability to work in remote locations for long periods of time;

ERM

Right of Way (ROW) Agent (Field Based)

Greensburg, PA · On-site +1

$34.19 - $40.20/hr

... Google Earth, ArcGIS and data management software. * Knowledgeable in real estate values and accepted real estate appraisal practices. * Ability to work in remote locations for long periods of time;

GAI Consultants

Power Generation Senior EIT 2

Homestead, PA · On-site +1

$94K - $130K/yr

This position is eligible for our flexible hybrid or remote work schedules. The successful ... Lead civil site engineering tasks * Interface with clients on civil site tasks * Lead assigned ...

Innomotics

Sales Support Professional

New Kensington, PA · On-site +1

$77K - $133K/yr

Our Most Powerful Engine: Our People We are a team of more than 15,000 dedicated experts, doers ... This is a remote position. Responsibilities : * Timely preparation of detailed engineering ...

Eaton

IT - Incident Response Engineer

Coraopolis, PA · On-site +1

$113K - $165K/yr

This role can sit out of any US Eaton site, however remote candidates will be considered. Please ... and/or Google Cloud), including identity, workload, container, and SaaS compromise scenarios ...

Karoo Health

Senior Data Engineer

Pittsburgh, PA · On-site +1

$102K - $139K/yr

The Role Karoo Health is seeking a skilled and dedicated developer to join our Engineering team. As ... Deep experience designing and managing Data Warehouses (e.g., Snowflake, Google BigQuery, AWS ...

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Remote Google Earth Engine Developer information

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How much do remote google earth engine developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote google earth engine developer in Pittsburgh, PA is $58.53, according to ZipRecruiter salary data. Most workers in this role earn between $54.13 and $65.34 per hour, depending on experience, location, and employer.

What is the difference between Remote Google Earth Engine Developer vs Remote GIS Analyst?

AspectRemote Google Earth Engine DeveloperRemote GIS Analyst
Required CredentialsDegree in GIS, Geography, Computer Science; experience with Google Earth EngineDegree in GIS, Geography, Environmental Science; proficiency in GIS software
Work EnvironmentRemote, often collaborative with developers and data scientistsRemote, often analytical and reporting-focused
Industry UsageEnvironmental monitoring, climate analysis, remote sensing projectsUrban planning, resource management, spatial data analysis
Search & Comparison IntentTechnical, development-focused roles involving coding and data processingData analysis, mapping, and reporting roles using GIS tools

The main difference is that Remote Google Earth Engine Developers focus on coding and developing applications using Google Earth Engine for remote sensing data, while Remote GIS Analysts primarily analyze spatial data and generate reports using GIS software. Both roles require GIS knowledge but differ in technical depth and project focus.

What are popular job titles related to Remote Google Earth Engine Developer jobs in Pittsburgh, PA?

For Remote Google Earth Engine Developer jobs in Pittsburgh, PA, the most frequently searched job titles are:

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The top searched job categories for Remote Google Earth Engine Developer jobs in Pittsburgh, PA are:

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Cities near Pittsburgh, PA with the most Remote Google Earth Engine Developer job openings:

Remote Google Earth Engine Developer jobs near you
Infographic showing various Remote Google Earth Engine Developer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $121,738 per year, or $58.5 per hour.

Software Engineering Manager - AI Data Engine

Motional

Pittsburgh, PA • On-site, Remote

Full-time

Re-posted 5 days ago

Key responsibilities

  • Build, lead, and manage a team of data and infrastructure engineers focused on developing Motional's Data Stack.

  • Define the technical vision and strategy for storing metrics and generating ML datasets for large computer vision and behavioral models.

  • Collaborate with ML research, ML Training platform, and data engineering teams to understand their needs and integrate solutions.

Job description

Mission Summary:

We are seeking an experienced and visionary Staff Level Technical Lead Manager to build and lead our new AI Data Engine team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and our data warehouse stack. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future!
You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements.

What You'll Be Doing:

  • Team Leadership & Management:
    • Build, lead, and manage a high-performing team of data and infrastructure engineers focused on building out Motional's Data Stack.
    • Define team goals, priorities, and roadmap in alignment with company objectives.
    • Provide technical guidance, mentorship, and career development opportunities to team members.
  • Technical Strategy & Execution:
    • Define the technical vision and strategy for storing metrics and generating ML datasets for large computer vision and behavioral models. 
    • Identify and evaluate cutting-edge technologies and methodologies for speeding up data loaders for training, ingestion of metrics, and querying of large datasets for everything from dashboards to training.
  • Cross-functional Collaboration:
    • Collaborate closely with ML research, ML Training platform, and data engineering teams to understand their needs and integrate solutions seamlessly.
    • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.

What We're Looking For:

  • Experience:
    • BS or MS in Computer Science or related field
    • 8+ years of professional experience in data platform engineering
    • 3+ years of experience in a technical lead or management role with 3-7 direct reports
    • Extensive experience with managing large (petabyte plus) scale data platforms such as data warehouses, object storage, and ML training data stores. 
    • Extensive experience with workflow orchestration frameworks such as Airflow or Step Functions.
  • Technical Skills:
    • Strong programming skills in Python. C++ experience is a plus. 
    • Deep knowledge of data storage formats such as Parquet, Iceberg, and Lance and understand their tradeoffs.
    • Strong knowledge of cloud infrastructure (AWS, GCP) solutions and their product offerings. 
    • Prior experience with building data warehouses or lakehouse architectures at a machine learning or robotics company.

Bonus Points (not required): 

  • Prior experience in autonomous vehicles (AV) is a plus.
  • Prior experience with Bazel based build systems.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply