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Data Engineer Gcp Data Engineer Jobs in Kansas (NOW HIRING)

Data Engineer

Kansas City, KS

$110K - $132K/yr

In this position you will work closely with other Data Engineers on your team, and members of the ... Experience deploying software to public cloud infrastructure - AWS (preferred), GCP, Azure

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

We're looking for a Data Engineer III to join our team! You'll be responsible for contributing to ... Experience designing solutions on cloud platforms (AWS, Azure, GCP) including modern data lake and ...

Data Engineer II

Leawood, KS · On-site

$111K - $133K/yr

We're looking for a Data Engineer II to join our team! You'll be responsible for contributing to ... Experience with cloud platforms (AWS, Azure, GCP) and implementing modern data platforms with data ...

Data Engineer

Overland Park, KS · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Topeka, KS · On-site

$108K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Wichita, KS · On-site

$102K - $123K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Pittsburg, KS · On-site

$87K - $105K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Kansas City, KS · On-site

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

The Data Engineer designs, builds, and supports scalable data products and platform capabilities that enable trusted, timely, and governed data across the organization. This role develops and ...

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... Experience with Google Cloud Platform (GCP) data services * Experience with multi-tenant SaaS ...

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... Experience with Google Cloud Platform (GCP) data services * Experience with multi-tenant SaaS ...

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... Experience with Google Cloud Platform (GCP) data services * Experience with multi-tenant SaaS ...

Associate Data Engineer

Kansas City, KS

$110K - $132K/yr

Description of the Role As an Associate Data Engineer at Vytalize Health, you will support the data engineering team by handling critical operational tasks, resolving support tickets, and conducting ...

Data Engineer

Kansas City, KS · On-site

$107K - $129K/yr

Data Engineer Location: 5000 Kansas Avenue Kansas City, KS 66106 Department: IT Make us your BEST Choice! Associated Wholesale Grocers (AWG) is transforming our business intelligence, analytics, and ...

Data Engineer

Leawood, KS

$111K - $133K/yr

Job Details Job Title Data Engineer Business Function Corporate Branch Name Murphy-Hoffman Company Date 04-07-2026 Address 4501 College Blvd City Leawood State KS

In this position you will work closely with other Data Engineers on your team, and members of the ... Experience deploying software to public cloud infrastructure - AWS (preferred), GCP, Azure

New

Data Engineer

Overland Park, KS

$111K - $133K/yr

Join our team at as a Data Engineer and play a pivotal role in designing, creating, deploying, and managing our company's data systems. This essential position supports our growth and innovation by ...

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

Responsibilities Join our team at as a Data Engineer and play a pivotal role in designing, creating, deploying, and managing our company's data systems. This essential position supports our growth ...

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Data Engineer Gcp Data Engineer information

What is the difference between Data Engineer Gcp Data Engineer vs Data Engineer?

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

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 expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What is a GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.
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What job categories do people searching Data Engineer Gcp Data Engineer jobs in Kansas look for? The top searched job categories for Data Engineer Gcp Data Engineer jobs in Kansas are:
What cities in Kansas are hiring for Data Engineer Gcp Data Engineer jobs? Cities in Kansas with the most Data Engineer Gcp Data Engineer job openings:
Infographic showing various Data Engineer Gcp Data Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

$110K - $132K/yr

Full-time

Posted 4 days ago


Job description

In this position you will work closely with other Data Engineers on your team, and members of the broader Engineering organization, to ensure that the business has access to high quality, accurate data via multiple channels (reporting, data visualization tools, data warehouse, BI tools, etc).

Other duties as necessary.

What You'll Need to Have: 
  1. Strong SQL experience and proven expertise handling large volumes of data, including data modeling with dbt
  2. Expertise in Python with a working knowledge of test-driven development
  3. Experience deploying software to public cloud infrastructure - AWS (preferred), GCP, Azure
  4. Experience with RDBMS, NoSQL and Cloud data storage technologies - AWS DocumentDB, MongoDB, Postgres and Snowflake experience preferred
  5. Experience with building ETL solutions and transforming data between different types of sources
  6. Experience with modern, Python-based data orchestration tools like Dagster, Prefect or Airflow
  7. Experience building solutions for analytical reporting and business intelligence
  8. Experience with a data visualization tool such as Tableau, Apache Superset or Looker
  9. Experience building or working on reconciliation systems that compare data from multiple sources for verification.
Bonus Points For:
  1. Experience working with large-scale distributed systems, developing real-time payments systems, and/or working with financial, accounting, or payments systems
  2. Experience with CI/CD such as GitHub Actions or Jenkins 
  3. Experience working with data lakes and/or data warehouses
  4. Experience with Docker and Kubernetes
  5. Knowledge of microservices architectures
  6. Experience developing software professionally following agile methodologies (e.g., Scrum, Kanban)