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

Moore

Data Programmer

Topeka, KS · On-site

The Data Programmer role involves working with large datasets to analyze, plan, and execute complex processing workflows, focusing on creating end-to-end solutions for data transformations and large ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

Director of Data Engineering We are seeking an experienced Director of Data Engineering responsible for the technical leadership, architecture, and delivery of the company's data platform. This role ...

Global Partners

Senior Director, Data Engineering

Newton, KS · On-site

$93K - $126K/yr

Join Global Partners as Senior Director of Data Engineering to lead the architecture, development, and optimization of our enterprise data platform. This role drives the design and implementation of ...

Moore

Data Programmer

Topeka, KS

Plan and execute a data processing workflow. * Receive, analyze and manipulate data using third-party and in-house software. * Work with data in a variety of formats including Access, Excel, comma ...

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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:
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Data Engineer Gcp Data Engineer jobs near you
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.

Data Engineer with Databricks, SQL

Amaze Systems Inc

Overland Park, KS • On-site

$108K - $130K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Candidates who have worked with FAANG or Good Product based companies are highly considerable
 
Our team builds and maintains data products within the Care & Retail domain, delivering reliable, scalable solutions that power easy & actionable insights across Consumer reporting. We support performance management, operational visibility, and business decision-making for millions of customers across Magenta & Metro.
We're looking for engineers who operate as product owners. You'll build things that last, improve what exists, and adopt the best available tools, including AI, to do it more effectively. If you think in systems and take end-to-end accountability, you'll fit here.
WHAT YOU'LL DO
• Design, build, and optimize data pipelines and structures that support reliable, efficient data processing & delivery at scale
• Contribute to a growing semantic & analytics layer, including dimensional modeling for Care & Retail reporting
• Migrate and modernize pipelines to standardized, reusable ingestion patterns and layered data architecture
• Engage business teams to understand their problem space and coordinate technical changes end-to-end
• Perform impact analysis, diagnose issues, and validate that changes deliver expected outcomes
• Conduct root cause analysis on data and process issues, and flex into ad hoc analysis when the business needs answers fast
• Identify opportunities to consolidate redundant data objects, reduce support burden, and improve reusability
• Adopt and apply AI tools and modern engineering practices to improve throughput and reduce per-unit delivery overhead
WHAT WE'RE LOOKING FOR
Experience
• 2-4 years of data engineering experience
• Experience designing & building data pipelines and data lakes in a cloud environment
• Experience with root cause analysis on data and process issues, with the ability to trace problems across systems and translate findings into action
• Comfortable flexing into an analytical or systems analyst role when the work requires it — this team supports the business, not just the pipeline
• Experience managing stakeholder expectations across technical & business teams
Technical Skills
• Strong SQL, including performance tuning & optimization in large-scale analytical environments (Required)
• Familiarity with Microsoft Fabric, Databricks, and the Azure data stack, including Azure Data Lake Storage (Preferred)
• Familiarity with dimensional modeling, star schema design, and semantic layer concepts (Preferred)
• Familiarity with medallion architecture (bronze/silver/gold) and data lake design patterns (Preferred)
• Familiarity with Power BI for understanding downstream analytics consumption; DAX experience a plus (Preferred)
• Familiarity with Python, Scala, or other scripting languages used in pipeline development (Preferred)
• Familiarity with common software design principles such as DRY, SRP, and OOP (Preferred)
• Experience using AI tools, agents, or automation to accelerate engineering workflows (Preferred)
How You Work
• Systems thinker: you consider how data, tools, processes, and stakeholders interact across a broader ecosystem
• Product owner mindset: end-to-end accountability for what you build, not just the ticket in front of you
• Clear communicator: you can explain technical tradeoffs to non-technical partners without losing the substance
• Bias toward simplicity: you ask whether complexity is necessary before adding it
EDUCATION
• Bachelor's degree plus 2+ years of related work experience, or a combination of education & experience deemed equivalent
• Relevant fields include Computer Science, Statistics, Informatics, Information Systems, or a quantitative equivalent
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About Amaze Systems

Sourced by ZipRecruiter

We strive to be the very best in our industry. We're the Best IT Specialists. We value our clients and their trust in us and hence, Our IT & Web Consultants don't hesitate to move mountains to give them high quality & innovative digital strategies, without resting, till they get the brand of their dreams. Our impeccable digital executions has helped several businesses multiply and increase their business enquiries substantially over years making us one of the most preferred online partners.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Dallas, TX, US

Social media

Twitter

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