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Gcp Data Engineer Jobs in Kansas (NOW HIRING)

Ring Inc

Senior Software Engineer

Toronto, KS · On-site

$117 - $167/hr

  • Medical

  • Life

  • PTO

Experience with cloud platforms (GCP, AWS, or Azure) and cloud‑based data warehousing (preferably Google BigQuery). * Proficient in server‑side programming languages such as Python, PHP, or Go.

Foresite

Senior Applied AI Engineer

Overland Park, KS · Remote

$115K - $152K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

While our ecosystem is anchored on Google Cloud Platform (GCP), we value deep hands-on expertise ... Data & Backend: You are comfortable designing schemas, writing queries, and reasoning about ...

Foresite

Cloud Security Engineer

Overland Park, KS · On-site

  • Medical

  • Dental

  • PTO

Lead the hands-on configuration of GCP SCC and Wiz for new customers, ensuring all high-fidelity ... Data Integrity: Ensure technical accuracy in parser creation and UDM mapping to maintain the ...

Foresite

Cloud Security Engineer

Overland Park, KS · On-site

  • Medical

  • Dental

  • PTO

Lead the hands-on configuration of GCP SCC and Wiz for new customers, ensuring all high-fidelity ... Data Integrity: Ensure technical accuracy in parser creation and UDM mapping to maintain the ...

WellSky

Staff Software Engineer - .NET

Overland Park, KS · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

WellSky

Staff Software Engineer - .NET

Overland Park, KS · Remote

$2.5K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Foresite MSP

Cloud Security Engineer

Olathe, KS · On-site

$90 - $130/hr

  • Medical

  • Dental

  • PTO

Lead the hands-on configuration of GCP SCC and Wiz for new customers, ensuring all high-fidelity ... Data Integrity: Ensure technical accuracy in parser creation and UDM mapping to maintain the ...

Posted today

Locatee Ag

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Deloitte

Cloud Security Engineer Manager

Wichita, KS · On-site

$127K/yr

... GCP) and on-premises data center infrastructure, including VLANs, subnetting, routing protocols ... Collaborate with Network and Firewall Teams, Application Teams, Server Teams, Cloud Engineering ...

Bespoke Labs

Machine Learning Engineer

Topeka, KS · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark ...

Bespoke Labs

Machine Learning Engineer

Wichita, KS · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark ...

Bespoke Labs

Machine Learning Engineer

Pittsburg, KS · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark ...

Bespoke Labs

Machine Learning Engineer

Kansas City, KS · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark ...

WellSky

Staff Software Engineer

Overland Park, KS · On-site

$2.5K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

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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 Aug 17, 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?

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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, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,687 per year, or $55.6 per hour.

Manager - Data Platforms

Truhome Solutions Llc

Lenexa, KS • On-site

Full-time

Re-posted 6 days ago

Job description

Summary
TruHome Solutions is seeking a hands-on, technically strong Manager of Data Platforms to lead the foundation that powers our data and analytics capabilities. TruHome provides mortgage origination and servicing solutions to credit unions across the country, and data is central to how we serve our clients. Our platforms power outbound data feeds, operational and analytical reporting, and the insights our internal teams and credit union clients rely on every day.
This role manages a small team and is responsible for both the Data Platform (including the data warehouse, integration pipelines, and a future cloud data platform) and the BI Platform built on Power BI. The manager will run and stabilize the existing SQL Server-based environment while playing a lead role in standing up a new cloud data platform on Databricks and Azure, maturing Power BI as the enterprise BI standard, and expanding both platforms to support additional business areas.
The ideal candidate is a player-coach with depth across data engineering and BI platforms, equally effective leading a team, partnering with business stakeholders, and managing day-to-day delivery. They should be a quick business learner who can navigate the nuances of mortgage origination and servicing and communicate clearly with both technical and non-technical audiences.
Duties & Responsibilities
  • Lead and develop a small team responsible for the Data and BI Platforms; foster a culture of technical excellence, accountability, and continuous learning.
  • Own day-to-day operations of the SQL Server data warehouse, ETL/ELT pipelines, and outbound data feeds to member credit unions; ensure reliability, accuracy, and timely delivery.
  • Own and mature the BI platform end-to-end, including Power BI environment administration, semantic model and dataset standards, workspace and capacity governance, report performance, and operational/paginated reporting. Expand its footprint and self-service adoption across TruHome business areas.
  • Help shape and execute on the data and analytics strategy for TruHome, including the design and stand-up of a new cloud data platform on Databricks and Azure.
  • Drive maturity of the enterprise data warehouse by improving data integration, modeling, quality, and documentation, so it can serve as a trusted source for outbound feeds, reporting, and future analytical use cases.
  • Embrace and apply AI capabilities, including AI-assisted development, natural-language analytics (e.g., Databricks Genie), and AI features within the BI platform, to accelerate team productivity and improve data accessibility for business users.
  • Manage the intake, prioritization, and delivery of platform work using Agile/Scrum practices.
  • Serve as a trusted partner to TruHome business leaders and credit union clients. Translate business needs into platform capabilities, communicate progress and tradeoffs clearly, and build credibility through reliable delivery.
  • Support onboarding of new credit union clients by leading the build-out of outbound data pipelines required to integrate with their core and other downstream systems.
  • Support data governance, security, privacy, and regulatory compliance requirements relevant to mortgage servicing and credit union data, partnering with risk, compliance, and information security teams.
  • Manage select vendor relationships and assist with budget planning for tools, licenses, and contractors across the data and BI platforms.

Requirements
Education and Experience Requirements
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related quantitative or technical field required; Master's degree preferred.
  • 8 to 12 years of progressive experience in data engineering, business intelligence, analytics, or data/BI platform roles, with meaningful exposure across both data platform and BI platform domains.
  • 3 to 5 years of experience leading or managing small technical teams, including hiring, performance management, and team development.
  • Demonstrated experience building out or standing up cloud data platforms, ideally on Azure with Databricks. Equivalent experience on other major cloud data platforms (e.g., Snowflake, AWS, GCP) will be considered if paired with strong Spark fundamentals.
  • Exposure to maturing a BI platform (establishing standards, scaling adoption, improving semantic models and report quality, and enabling self-service) is preferred.
  • Experience in mortgage origination, mortgage servicing, banking, lending, or other financial services data environments highly preferred. Candidates without direct domain experience must clearly demonstrate a track record of quickly learning new business domains.
  • Experience working in Agile/Scrum environments and managing team delivery through structured backlogs and sprints.
Required Knowledge, Skills and Abilities
  • Strong hands-on skills with SQL Server, including SSIS for ETL development and maintenance, stored procedure development, query optimization, and performance tuning.
  • Strong hands-on skills with the modern data stack: Python, PySpark, Spark SQL, and cloud data platform services (Databricks, Azure Data Lake Storage, Azure Data Factory or equivalent orchestration).
  • Solid data modeling skills across multiple paradigms (3rd Normal Form / ODS, dimensional/Kimball-style, and modern lakehouse / medallion patterns), with judgment on when each is appropriate.
  • Good working knowledge of the Power BI platform, including semantic/tabular model design, DAX, workspace and capacity management, dataset governance, and report performance tuning. Able to set technical direction and standards for the BI platform.
  • Familiarity with DevOps / DataOps practices including Git-based source control, CI/CD pipelines (Azure DevOps or GitHub Actions), code review, and environment management.
  • Awareness of data governance, security, and privacy practices relevant to regulated financial services environments.
  • Curiosity about and practical experience applying AI tools in data engineering and BI workflows (e.g., GitHub Copilot, Databricks Assistant/Genie, Power BI Copilot); willingness to experiment, evaluate, and bring forward what works.
  • Excellent written and verbal communication skills, with the ability to translate between technical and business audiences and to communicate confidently with senior leaders and external clients.
  • Effective people leader and strong stakeholder manager. Able to coach a small technical team, set expectations, push back constructively, and build long-term trust.
  • Pragmatic and outcome-oriented; able to balance maintaining a running business with iteratively introducing modern platforms and practices, and to manage competing priorities across operational support, project delivery, and platform modernization.

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