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Full Time Gcp Data Engineer Jobs (NOW HIRING)

ND

$144K - $190K/yr

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

... GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

... GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Data Engineers with GCP with experience on data processing using Dataflow and Dataproc. Remote work: No rate :-USD $60/hr. Location : Nashville. Requirements: • Bachelor's degree in computer ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

... GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

OperAxis is a company seeking a Data Engineer to join their team. The role involves designing and ... Apache Spark, and GCP Dataflow • Develop and maintain BigQuery data models, schemas, and ...

GCP Data Architect

$65.25 - $84/hr

Design scalable, secure, and high-performance GCP data architectures. * Architect enterprise data ... Collaborate with business and engineering teams to deliver scalable data solutions. * Optimize ...

GCP Data Engineering Technologies INDIA

Prosper, TX · On-site

$104K - $125K/yr

GCP Data Engineering Technologies Hybrid Work * Consultant Must be located in INDIA Primary Skills: Python, SQL, Cloud Functions, GCS Buckets, Firestore DB, Cloud Scheduler, Artifact Registry ...

Data Engineer - GCP

$117K - $140K/yr

Data Engineer - GCP Location: Denver, CO (Remote) Job Summary The client is seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Familiarity with GCP services (Cloud Storage, Pub/Sub, Cloud Functions) or equivalent AWS/Azure ... Data Engineering,sql,python,etl

GCP Data Engineer II

Phoenix, AZ · On-site

$114K - $137K/yr

Solid understanding of data analytics concepts and methodologies. Ability to interpret data patterns and connect insights to business outcomes. Able to perform exploratory data analysis to uncover ...

GCP Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

... Architects or Sr Engineer \n \n \n Location: Chicago IL \n \n \n Fulltime \n \n \n \n \n ... Big Data GCP Components like GCS DataFlow Dataproc BigQuery BigTable Pub Sub and Open Source ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Job Title Data Engineer (Google Cloud Platform - GCP) Overview We are seeking a Data Engineer with experience designing, building, and maintaining scalable data solutions. This role is responsible ...

... experience in data platform engineering * Handson experience with Google Cloud Platform GCP ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

Showing results 41-60

Full Time Gcp Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do full time gcp data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for full time gcp data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

Is a full time GCP data engineer in demand?

A full-time GCP data engineer is in high demand due to the increasing adoption of cloud data platforms and the need for expertise in Google Cloud services like BigQuery and Dataflow. Organizations seek professionals skilled in cloud architecture, data pipelines, and SQL, making this role a strong career choice with competitive salaries. Certifications such as Google Cloud Professional Data Engineer can enhance job prospects in this field.

What is the difference between Full Time Gcp Data Engineer vs Gcp Data Analyst?

AspectFull Time Gcp Data EngineerGcp Data Analyst
Required SkillsData pipeline development, cloud architecture, SQL, Python, GCP servicesData querying, visualization, SQL, Excel, GCP BigQuery
CertificationsGCP Professional Data Engineer, Cloud certificationsGCP Data Analytics certifications (optional)
Work EnvironmentDesigning and maintaining data infrastructure in cloud environmentsAnalyzing data, creating reports, supporting business decisions
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

Full Time Gcp Data Engineers focus on building and maintaining data pipelines and infrastructure in GCP, requiring technical skills in cloud architecture and programming. Gcp Data Analysts primarily analyze data and generate insights, often using visualization tools. While both roles work with GCP services, their responsibilities and skill sets differ significantly.

What are some common challenges faced by full time GCP data engineers when working with large-scale data pipelines?

Full Time GCP Data Engineers often encounter challenges such as optimizing data pipeline performance, managing costs associated with cloud resources, and ensuring data quality and security. Working with large-scale data can introduce complexities related to data partitioning, schema evolution, and latency in data processing. Collaboration with data scientists, analysts, and other engineers is essential to align data architecture with business requirements and to troubleshoot issues quickly. Staying up to date with the latest GCP services and best practices is also important to maintain efficient and scalable solutions.

What are the key skills and qualifications needed to thrive as a full time GCP data engineer, and why are they important?

To thrive as a Full Time GCP Data Engineer, you need strong expertise in data engineering concepts, SQL, programming languages like Python or Java, and experience with cloud data platforms, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Dataproc, and relevant certifications like Google Professional Data Engineer are highly beneficial. Outstanding problem-solving skills, attention to detail, and effective communication set top performers apart. These competencies are crucial for designing scalable data solutions, ensuring data integrity, and seamlessly collaborating with cross-functional teams.

What does a full time GCP data engineer do?

A Full Time GCP Data Engineer is responsible for designing, building, and managing data processing systems on the Google Cloud Platform (GCP). They work with large datasets, create data pipelines using GCP tools like BigQuery, Dataflow, and Cloud Storage, and ensure data is securely stored, processed, and made accessible for analytics or machine learning. Their role often involves optimizing data workflows, maintaining data quality, and collaborating with data scientists and analysts. Additionally, they implement best practices for data security, scalability, and cost efficiency within the GCP ecosystem.

What is the salary of a full time GCP data engineer?

The average salary for a full-time GCP Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as Google Cloud Professional Data Engineer. Entry-level positions may start lower, while experienced engineers with specialized skills can earn higher salaries. Compensation often includes benefits and opportunities for professional development in cloud data environments.

What cities are hiring for Full Time Gcp Data Engineer jobs?

Cities with the most Full Time Gcp Data Engineer job openings:

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

The most popular types of Gcp Data Engineer jobs are:

What states have the most Full Time Gcp Data Engineer jobs?

States with the most job openings for Full Time Gcp Data Engineer jobs include:

Lead Data Engineer - GCP Data Architect

United Airlines

ND

$144K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 342 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Location:

This is a hybrid role based in Chicago, IL.

About the job you're considering

We are seeking a hands-on GCP Data Architect to design and build scalable, cloud-native data solutions on Google Cloud Platform. This role requires strong expertise in BigQuery, Dataflow, Pub/Sub, and Python, along with a solid understanding of distributed systems, batch and streaming data architectures, and modern data engineering practices. The ideal candidate is both an architect and a doer, capable of guiding technical direction while actively contributing to implementation and delivery.

Your role
  • Design and architect scalable, secure, and cost-effective data platforms on Google Cloud Platform.
  • Lead the development of batch and real-time data ingestion and processing solutions.
  • Design modern data architectures leveraging BigQuery, Dataflow, Pub/Sub, and related GCP services.
  • Evaluate and implement appropriate distributed processing and data movement patterns for varying business requirements.
  • Develop and optimize enterprise-scale ETL/ELT pipelines.
  • Collaborate with data engineers, application developers, platform teams, and business stakeholders.
  • Provide architectural guidance for data modeling, storage, governance, performance, and scalability.
  • Support cloud-native application deployment patterns using Cloud Run and/or GKE.
  • Contribute to infrastructure automation, DevOps, and CI/CD best practices.
  • Participate in architecture reviews, technical design sessions, and code reviews.
  • Troubleshoot and optimize data processing workloads and platform performance.
Skills & experience
  • 7+ years of experience in Data Engineering, Data Architecture, or Cloud Data Platform development.
  • Strong hands-on experience with:
      • BigQuery
      • Dataflow
      • Pub/Sub
      • Python
  • Experience designing and implementing data solutions on Google Cloud Platform (GCP).
  • Strong understanding of:
      • Distributed systems
      • Data pipeline architecture
      • Batch and streaming processing patterns
      • Large-scale data processing and analytics
  • Experience developing and supporting production-grade data pipelines.
  • Ability to balance architectural strategy with hands-on implementation.
  • Strong communication and stakeholder management skills.

#LI-NE1

The base compensation range for this role in the posted location is: $144,890 - $190,117.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


What United Airlines employees say

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Hours and flexibility

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Get the full story on Breakroom


United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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