ZipRecruiter

Log In

1

Gcp Data Engineer Jobs in Kansas (NOW HIRING)

Overstory

Working alongside ML engineers, and a product team, you'll define accuracy for our models, design ... Familiarity with GCP, Vertex AI, or similar cloud-based platforms * Experience in remote-first or ...

WellSky

Staff Software Engineer - .NET

Overland Park, KS · Remote

$2.5K/yr

NET, C#, Angular, GCP, Azure, and related technologies. * Collaborate with solution managers, engineers, data scientists, and other stakeholders to define and communicate the architectural vision ...

Atlas HXM

$98K - $134K/yr

Role Overview We are seeking a forward-thinking Senior Security Engineer, AI & DevSecOps to help ... Microsoft Azure, AWS, Google Cloud Platform (GCP) * Identity & Access: Microsoft Entra ID * Data ...

Wellsky

Staff Software Engineer - .NET

Overland Park, KS · On-site

$150 - $200/hr

NET, C#, Angular, GCP, Azure, and related technologies.* Collaborate with solution managers, engineers, data scientists, and other stakeholders to define and communicate the architectural vision ...

Apex Systems

Remote Deployment Engineer

Overland Park, KS · On-site

$150 - $200/hr

Practical experience with a major cloud environment (GCP, Azure, or AWS).* Experience with CI/CD ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Locatee Ag

Own platform and cloud architecture Define and evolve Tango's platform architecture across AWS, GCP ... data residency considerations). Experience supporting FedRAMP and/or comparable government cloud ...

Locatee AG

Own platform and cloud architecture Define and evolve Tango's platform architecture across AWS, GCP ... data residency considerations). Experience supporting FedRAMP and/or comparable government cloud ...

WellSky

Staff Software Engineer

Overland Park, KS · On-site

$2.5K/yr

Collaborate with solution managers, engineers, data scientists, and other stakeholders to define ... Git experience * Experience with cloud platforms, preferably Google Cloud Platform (GCP)

WellSky

Staff Software Engineer

Overland Park, KS · On-site

Collaborate with solution managers, engineers, data scientists, and other stakeholders to define ... Git experience * Experience with cloud platforms, preferably Google Cloud Platform (GCP)

Socket.dev

Senior Applied AI Engineer

Overland Park, KS · On-site

$150 - $200/hr

While our ecosystem is anchored on Google Cloud Platform (GCP), we value deep hands-on expertise ... Design secure AI architectures enforcing strict customer data isolation, zero-leakage context ...

Factualiq

Machine Learning Engineer

Mission, KS · On-site

$100 - $125/hr

You'll own the complete development lifecycle, from synthetic data generation and model development ... Production experience with cloud ML platforms (AWS, GCP, or Azure) and MLOps tools (MLflow ...

PICTOR LABS INC

$89K - $123K/yr

... data * Proven experience deploying ML systems on Kubernetes and major cloud providers (AWS, GCP ... Strong software engineering practices including version control (Git), CI/CD, unit testing, and ...

Overstory

Role & Team As a Staff Machine Learning Engineer at Overstory, you will lead the development and ... and data tools like Dask, Spark, or GeoPandas * Familiarity with GCP and Vertex AI, or similar ...

previous pagenext page

Showing results 21-40

All JobsGcp Data Engineer JobsGcp Data Engineer Jobs in Kansas

Gcp Data Engineer information

See Kansas salary details

$39.7K

$115.7K

$158.3K

How much do gcp data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for gcp data engineer in Kansas is $115,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,600.00 per year, depending on experience, location, and employer.

What is a GCP Data Engineer?

A GCP Data Engineer is responsible for designing, building, and managing data processing systems on Google Cloud Platform. They work with tools like BigQuery, Dataflow, and Dataproc to process, store, and analyze large datasets efficiently. Their role involves optimizing data pipelines, ensuring data quality, and implementing security best practices. They also collaborate with data analysts and scientists to support business intelligence and machine learning initiatives.

What are the key skills and qualifications needed to thrive as a GCP Data Engineer?

To thrive as a GCP Data Engineer, you need strong skills in data engineering, programming (such as Python or Java), and experience with Google Cloud Platform services like BigQuery, Dataflow, and Cloud Storage, often backed by a relevant degree or certification. Familiarity with tools such as Terraform, Apache Beam, and GCP-specific certifications like Professional Data Engineer are highly valued. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills for this role. These competencies are crucial for building scalable data solutions, ensuring data quality, and collaborating effectively within cross-functional teams.

What types of projects or day-to-day tasks does a GCP Data Engineer typically work on?

As a GCP Data Engineer, you will design and implement data pipelines, process large datasets using GCP tools, and ensure data is available and accessible for analytics and business intelligence purposes. Your daily tasks might include creating ETL workflows, optimizing data warehouse performance, collaborating with data scientists, and troubleshooting data ingestion issues. Many teams operate in an agile environment, so you can expect regular interaction with product managers, analysts, and other engineers. This hands-on, collaborative nature of the role means you'll have opportunities to work on impactful projects that directly influence business decisions and gain exposure to cutting-edge cloud technologies.

Is GCP data engineer in demand?

GCP Data Engineers are in high demand due to the increasing adoption of Google Cloud Platform for data processing and analytics. Skills in cloud services, data pipelines, and tools like BigQuery and Dataflow are highly sought after by organizations seeking scalable data solutions.

What are the most commonly searched types of Gcp Data Engineer jobs in Kansas?

The most popular types of Gcp Data Engineer jobs in Kansas are:

What are popular job titles related to Gcp Data Engineer jobs in Kansas?

For Gcp Data Engineer jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Gcp Data Engineer jobs in Kansas look for?

The top searched job categories for Gcp Data Engineer jobs in Kansas are:

What cities in Kansas are hiring for Gcp Data Engineer jobs?

Cities in Kansas with the most Gcp Data Engineer job openings:

Gcp Data Engineer jobs near you
Infographic showing various Gcp Data Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $115,687 per year, or $55.6 per hour.

Staff Data Scientist - Wildfire

On-site, Remote

Overstory
See more jobs at Overstoryexternal

Full-time

Posted 22 days ago

Key responsibilities

  • Lead research into estimating vegetation structure, fuel conditions, and wildfire risk from satellite, LiDAR, and environmental data across diverse geographies

  • Design validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis

  • Prototype and refine machine learning modeling approaches, then collaborate with ML engineers to implement them into production systems

Job description

Role & Team

We are excited to add a Staff Data Scientist, Wildfire to our team. This individual will lead the scientific foundation of our Fuel Detection Model, the core engine that translates satellite and environmental data into an understanding of vegetation structure, fuel loads, and wildfire risk.
Working alongside ML engineers, and a product team, you'll define accuracy for our models, design the research and validation methods that prove it, and ensure our modeling choices are grounded in fire science and remote sensing fundamentals. This is a great opportunity for someone who is energized by open scientific questions with direct real-world stakes, and who wants their research to shape how utilities prevent catastrophic wildfires.

Time Zone Requirement: North America (NST, AST, EST, CST, MST, PST)

What You'll Do
  • Lead research into how vegetation structure, fuel conditions, and wildfire risk can be estimated from satellite, LiDAR, and environmental data across diverse geographies
  • Design rigorous validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis tied to real-world impact
  • Prototype and refine ML modeling approaches, then partner with ML engineers to translate them into production systems
  • Integrate established fire science, such as fuel models and fire behavior frameworks, with data-driven methods
  • Define scientific standards for experimentation, reproducibility, and model interpretability across the modeling organization
  • Communicate research findings clearly to engineers, product teams, customers, and the broader wildfire science community
  • Mentor ML engineers on scientific methodology and domain reasoning
Skills & Experience
  • 8+ years of applied research or data science experience in wildfire science, fire ecology, forestry, remote sensing, atmospheric science, or a related quantitative field
  • Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery and large-scale environmental datasets
  • Strong statistical modeling and machine learning skills in Python, with tools like GeoPandas, scikit-learn, PyTorch, or XGBoost
  • Track record of designing validation studies and evaluation frameworks for environmental or geospatial models
  • Excellent communication skills, with the ability to make complex scientific work legible across technical and non-technical audience
Nice To Have
  • Familiarity with fire behavior or fuels modeling frameworks (e.g., Rothermel-based models, LANDFIRE fuel classifications)
  • Experience integrating physics-based models with ML, or with active learning and uncertainty quantification
  • Peer-reviewed publications in wildfire science, remote sensing, or environmental modeling
  • Familiarity with GCP, Vertex AI, or similar cloud-based platforms
  • Experience in remote-first or globally distributed team

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer
  • Competitive, location-specific compensation and benefits 
  • Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
  • Home office stipend, co-working and ongoing education budgets 
  • A company culture that genuinely embodies each of our core values
  • To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis

Apply