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Junior Geospatial Data Engineer Jobs in West Virginia

$94K - $113K/yr

We are looking for a passionate, forward-thinking Junior Data Engineer to join our data team and help build the data pipelines powering our eco-focused solutions. Position Overview As a fresh ...

You will lead the design of robust data pipelines, enforce best practices in data governance and security, and mentor junior engineers. Your expertise will bridge technical execution and strategic ...

BI Full 6C (T4) Job Family: Data Science and Data Engineering Job Qualifications: Skills ... Guide the use of statistical methods, modeling techniques, geospatial analysis, and advanced ...

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

... DevOps. * Strong foundational understanding of diverse IT domains including enterprise ... Familiarity with geospatial data analysis (GIS) and integrating spatial modeling into enterprise ...

$88K - $154K/yr

Junior - 2+ years experience or 6+ years experience in lieu of degree * Journeyman - 5+ years ... transforming geospatial data. * Ability to mentor peers and share knowledge effectively.

$103K - $181K/yr

Junior - 2+ year of experience or 6+ years of experience in lieu of degree * Journeyman - 5+ years ... transforming geospatial data. * Ability to mentor peers and share knowledge effectively.

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Junior Geospatial Data Engineer information

What is the difference between Junior Geospatial Data Engineer vs Geospatial Data Analyst?

AspectJunior Geospatial Data EngineerGeospatial Data Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; some certificationsBachelor's in GIS, Geography, Data Science; certifications optional
Work EnvironmentData engineering teams, GIS departments, tech firmsResearch teams, government agencies, consulting firms
Employer & Industry UsageTech companies, urban planning, environmental firmsGovernment, research institutions, private consulting

Junior Geospatial Data Engineers focus on building and maintaining geospatial data infrastructure, pipelines, and databases. In contrast, Geospatial Data Analysts interpret and analyze geospatial data to generate insights. Both roles require similar educational backgrounds but differ in daily tasks and focus areas.

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Cities in West Virginia with the most Junior Geospatial Data Engineer job openings:

Junior Data Engineer

hireVouch

$94K - $113K/yr

Full-time

Posted 12 days ago


Job description

About Us

​We are dedicated to building a cleaner, more sustainable future. By applying innovative technology and data-driven insights to green environmental initiatives, we help measure, analyze, and reduce environmental impact at scale. We are looking for a passionate, forward-thinking Junior Data Engineer to join our data team and help build the data pipelines powering our eco-focused solutions.

Position Overview

As a fresh graduate joining our team, you will work closely with senior data engineers and analysts to design, build, and maintain high-volume data pipelines. You will transform raw environmental datasets—such as energy metrics, carbon emissions data, and resource usage—into actionable insights. This role is ideal for a recent Computer Science graduate eager to apply modern data tooling (AWS, PySpark, Python) toward solving meaningful sustainability challenges.

Key Responsibilities
  • Pipeline Development: Design, build, and maintain automated batch and real-time ETL/ELT pipelines to ingest, clean, and transform large-scale environmental data.

  • Data Processing: Utilize Python and Apache Spark (PySpark) to process structured and unstructured datasets efficiently.

  • Cloud Infrastructure: Help manage and expand our cloud data infrastructure using core AWS services (e.g., S3, Glue, EMR, Redshift, Lambda).

  • Data Quality & Governance: Implement automated testing, validation, and monitoring to ensure data accuracy, reliability, and security.

  • Cross-Functional Collaboration: Partner with Data Scientists, Business Analysts, and Sustainability Specialists to deliver clean, structured data for reporting and machine learning applications.

Required Qualifications
  • Education: Bachelor’s degree in Computer Science (or a closely related core computing field, such as Computer Engineering or Software Engineering) completed within the last 0–12 months.

  • Core Programming: Strong foundation in Python and fundamental software engineering principles (OOP, data structures, algorithms, version control with Git).

  • Distributed Computing: Academic or hands-on project experience using Apache Spark / PySpark to process large datasets.

  • Cloud Fundamentals: Working knowledge or project experience with AWS core services (S3, EC2, IAM, Lambda, or managed data services).

  • Databases & SQL: Solid grasp of relational databases, SQL query writing, data modeling concepts, and basic schema design.

Nice-to-Have / Preferred Qualifications
  • Coursework, internship, or personal project focus on environmental data, sustainability, clean energy, or IoT telemetry data.

  • Exposure to workflow orchestration tools (e.g., Apache Airflow, Dagster).

  • Familiarity with containerization technologies (Docker, Kubernetes).

  • Knowledge of CI/CD practices for data infrastructure.

What We Offer
  • Mission-Driven Impact: Direct involvement in projects that combat climate change and advance sustainable practices.

  • Mentorship & Growth: A collaborative environment with dedicated mentorship from experienced senior data engineers.