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Data Engineer Gcp Data Engineer Jobs in Nebraska

The Data Governance Engineer will play a key role in designing and implementing automated governance frameworks, developing AI-driven solutions, and partnering with technical and business ...

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

Data Architect

Omaha, NE · On-site

$105K - $143K/yr

Data Engineering & Pipeline Development * Build ELT/ETL pipelines using modern cloud-native tools and frameworks. * Lead the migration from legacy batch processes to automated, event-driven, or CDC ...

Data Quality Specialist

Omaha, NE · On-site

$16.25 - $21.75/hr

Partner with data engineers, the business intelligence team, and business stakeholders to embed data quality into the way Milan builds and maintains its data. Investigate data quality issues ...

Showing results 21-40

Data Engineer Gcp Data Engineer information

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.

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 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 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 popular job titles related to Data Engineer Gcp Data Engineer jobs in Nebraska?

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

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

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

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

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

Infographic showing various Data Engineer Gcp Data Engineer job openings in Nebraska as of June 2026, with employment types broken down into 62% Full Time, and 38% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Software/Data Engineer_SWD6_TTO0400

Laurel, NE • On-site

Lifecycle Corporation
IT Services • 11 - 50 employees

Other

Re-posted 6 days ago


Job description

Laurel, United States | Posted on 06/04/2026

This is a full-time position requiring 1880 hours of support per year; and work is performed at a customer location. As a Software/Data Engineer on our team, you will develop, maintain, and enhance complex and diverse software systems based upon documented requirements; review and test software components for adherence to the design requirements; and document test results. You will also utilize software development and software design methodologies appropriate to the environment. You will provide specific input to the software components of system design to include the use of Commercial Off-The-Shelf (COTS) / Government Off-The-Shelf (GOTS) in place of new development. You will also develop software solutions by analyzing system performance standards, confer with users or system engineers; analyze usage and work processes; and investigate problem areas.

Requirements
  • Nineteen (19) years of demonstrated experience in Software Engineering with a Bachelor's degree in Engineering, Computer Science, Mathematics, or appropriate field from an accredited college or university OR Twenty (20) years of experience in Software Engineering with a High School Diploma or GED OR Eighteen (18) years of experience in Software Engineering with a Master’s degree in Engineering, Computer Science, Mathematics, or appropriate field from an accredited college or university OR Fourteen (14) years of experience in Software Engineering with a PhD in Engineering, Computer Science, Mathematics, or appropriate field from an accredited college or university.
  • Position requires TS/SCI clearance with polygraph.
  • Experience designing, deploying and managing cloud infrastructure using Open Stack and other comparable platforms.
  • Strong Linux and Python background.
  • Understanding of IT management and operations.
Individual Capabilities/Experience Desired
  • Excellent oral, written, organizational and communications skills.
  • Broad experience in system engineering disciplines.
  • Develop Operations.
  • Experience using network automation tools.
  • Cloud security and operations familiarity.
  • PowerShell familiarity.
  • Certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect a plus.
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