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Entry Level Geospatial Data Engineer Jobs in Seattle, WA

SpaceX

Data Engineer (Starlink Growth)

Redmond, WA · On-site

$128K - $154K/yr

... Engineer for the Starlink Growth Analytics & Automation Team. The role involves developing ... geospatial data representations. • Excellent verbal and written communication skills. • ...

SpaceX

Data Engineer (Starlink Growth)

Redmond, WA

$145K - $175K/yr

DATA ENGINEER (STARLINK GROWTH) At SpaceX, we are leveraging our experience in building rockets and ... Experience with data visualization skills, including experience in geospatial data representations.

SpaceX

Data Engineer (Starlink Growth)

Redmond, WA

$145K - $175K/yr

DATA ENGINEER (STARLINK GROWTH) At SpaceX, we are leveraging our experience in building rockets and ... Experience with data visualization skills, including experience in geospatial data representations.

SpaceX

Data Engineer (Starlink Growth)

Redmond, WA · On-site

$145K - $175K/yr

DATA ENGINEER (STARLINK GROWTH) At SpaceX, we are leveraging our experience in building rockets and ... Experience with data visualization skills, including experience in geospatial data representations.

SynergisticIT

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

End-to-End Placement Support -we connect you with employers actively looking for entry-level talent ... • Data Engineer & ML Engineer Preferred Skills We Focus On Java / Full Stack / DevOps: Java ...

SynergisticIT

Junior Data Engineer

Seattle, WA · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Uw

Research Scientist/Engineer 2

Seattle, WA

Reporting to theResearch Scientist/Engineer 3,The Research Scientist/Engineer 2 will hold the ... geospatial data collection. Facility Management (5%) - Share equipment, software, and computing ...

SynergisticIT

Entry Level ML Engineer

Seattle, WA

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... We want Data Science/Machine learning/Data Analyst and Java Full stack candidates REQUIRED SKILLS ...

Pwc

AI & GenAI Data Scientist - Manager

Seattle, WA

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Shannon & Wilson, Inc.

Geologist (Entry-Level)

Seattle, WA · On-site

$62K - $105K/yr

Conduct limited soil index property laboratory testing and organize laboratory and report data ... geospatial tools. * Familiarity with Python or other programming languages. * Geologist-in-Training ...

Shannon & Wilson Inc

Geologist (Entry-Level)

Seattle, WA

$85K - $105K/yr

Conduct limited soil index property laboratory testing and organize laboratory and report data ... geospatial tools. * Familiarity with Python or other programming languages. * Geologist-in-Training ...

Shannon & Wilson Inc

Geologist (Entry-Level)

Seattle, WA · On-site

$85K - $105K/yr

Conduct limited soil index property laboratory testing and organize laboratory and report data ... geospatial tools. * Familiarity with Python or other programming languages. * Geologist-in-Training ...

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All JobsGeospatial Data Engineer JobsEntry Level Geospatial Data Engineer JobsEntry Level Geospatial Data Engineer Jobs in Seattle, WA

Entry Level Geospatial Data Engineer information

See Seattle, WA salary details

$6

$53

$102

How much do entry level geospatial data engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for entry level geospatial data engineer in Seattle, WA is $53.07, according to ZipRecruiter salary data. Most workers in this role earn between $40.77 and $65.67 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Geospatial Data Engineer, and why are they important?

To thrive as an Entry Level Geospatial Data Engineer, a solid understanding of GIS concepts, spatial data analysis, and a relevant degree in geography, computer science, or a related field is essential. Familiarity with tools like ArcGIS, QGIS, Python, and SQL, as well as experience with geospatial databases, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help individuals excel in collaborating with teams and interpreting complex data. These skills ensure accurate geospatial solutions and support critical decision-making in industries like urban planning, environmental management, and logistics.

What are entry level geospatial data engineers?

Entry level geospatial data engineers are professionals who work with geographic information systems (GIS) and spatial data to collect, process, and analyze location-based information. They use programming, data management tools, and mapping software to support projects in fields such as urban planning, environmental science, and logistics. At the entry level, these engineers assist in database maintenance, data cleaning, and creating visualizations while learning industry standards and best practices.

What is the difference between Entry Level Geospatial Data Engineer vs GIS Analyst?

AspectEntry Level Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; some certificationsBachelor's in GIS, Geography; certifications like GISP are common
Work EnvironmentData processing, database management, scripting, software developmentMap creation, spatial analysis, data visualization, report generation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, government agencies, consulting firms
Common Search & ComparisonYesYes

Entry Level Geospatial Data Engineers focus on building and managing spatial data systems, often involving programming and database skills. GIS Analysts primarily analyze and visualize spatial data to support decision-making. While both roles require GIS knowledge, Data Engineers emphasize data infrastructure, whereas Analysts focus on spatial analysis and reporting.

What are some common challenges faced by entry level geospatial data engineers when working with large spatial datasets?

Entry level geospatial data engineers often encounter challenges related to the size and complexity of spatial datasets, such as slow processing times, data quality issues, and difficulties with data integration from various sources. Learning to use specialized tools like GIS software and spatial databases efficiently is crucial for handling these challenges. Collaborating with more experienced engineers and data scientists can help new hires develop best practices for data cleaning, transformation, and visualization, which are key skills in this role.
What are the most commonly searched types of Geospatial Data Engineer jobs in Seattle, WA? The most popular types of Geospatial Data Engineer jobs in Seattle, WA are:
What are popular job titles related to Entry Level Geospatial Data Engineer jobs in Seattle, WA? For Entry Level Geospatial Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Geospatial Data Engineer jobs in Seattle, WA look for? The top searched job categories for Entry Level Geospatial Data Engineer jobs in Seattle, WA are:
Entry Level Geospatial Data Engineer jobs near you
Data Engineer (Starlink Growth)

Data Engineer (Starlink Growth)

SpaceX

Redmond, WA • On-site

$128K - $154K/yr

Full-time

Posted 5 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

13th of 60 rated aerospace companies

Job description

Job Summary:
SpaceX is actively developing technologies to enable human life on Mars and is seeking a Data Engineer for the Starlink Growth Analytics & Automation Team. The role involves developing strategies and tools for assessing the health of the Starlink business and extracting insights from data to optimize customer acquisition.
Responsibilities:
• Build high-visibility, high-confidence, statistically-based dashboards and analytics tools to uncover new or breaking trends in customer growth or experience.
• Transform insights into action items for business and engineering teams, based on statistically-driven evidence.
• Develop and implement monitoring systems and strategies to quickly detect trends and regressions as they arise.
• Work closely with software and production teams to optimize user experience.
• Develop and validate models to forecast customer acquisition.
Qualifications:
Required:
• Bachelor’s degree in computer science, physics, mathematics, statistics, or a STEM discipline.
• 1+ years of professional experience building solutions with Python and SQL.
• 1+ years of professional experience with statistical modeling and machine learning algorithms.
• Must be willing to work extended hours and weekends as needed.
• To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.
Preferred:
• 1+ years of professional experience in analytics, data science, or machine learning.
• Experience building predictive models and machine learning pipelines (clustering analysis, anomaly detection, survival analysis, time series models).
• Experience with data visualization skills, including experience in geospatial data representations.
• Excellent verbal and written communication skills.
• Experience with developing and deploying tools used for data analysis, machine learning, and statistical modeling.
• Demonstrated capability to parse technical subjects on a deep level.
• Demonstrated ability to jump into ill-defined problem spaces and drive positive outcomes.
• Self-starter attitude, energy, and the ability to communicate effectively across business and technical disciplines.
• Experience designing and utilizing relational database (SQL).
• Background in statistics or computational physics.
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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