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Data Engineer Gcp Data Engineer Jobs (NOW HIRING)

$145 - $190/hr

# Lead Data Engineer - GCP Data ArchitectChicagoApply for this job* Permanent* Experienced Professionals* Data & AI* ID 519413-en\_USChoosing Capgemini means choosing a company where you will be ...

GCP Data Engineer

$117K - $140K/yr

Data Engineer - GCP Location: Denver, CO (Remote) Only W2 Candidates Job Summary We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data ...

I have an opportunity for "GCP Data Engineer" and looking for a candidate who can join Immediately if you are interested reply me with your updated resume or consultant's contact details and if you ...

GCP DATA ENGINEER

Arkansas City, AR · On-site

$106K - $128K/yr

GCP Data Engineer Location : Bentonville, AR (Onsite) Long Term Contract Except OPT All Visa Bachelors degree with minimum 09+years experience required. Must have strong experience in GCP , Scala ...

GCP Data Engineer

Irving, TX · On-site

$109K - $132K/yr

GCP Data Engineer work Location: Irving, TX Duration: 8+ Months * Big data expert with 6+ years experience in Hadoop Big data ecosystem * Spark - Batch & Streaming (Python,Scala ) * Apache Kafka ...

GCP Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

GCP Data Engineer Location: Minneapolis, MN(Remote) * Design and deploy cloud-based infrastructure on Google Cloud Platform (GCP) using various services (e.g., Compute Engine, Kubernetes Engine ...

GCP Data Engineer

Austin, TX

$113K - $136K/yr

GCP Data Engineer to serve fraud data mart customers. Data Engineer will closely work with cross-functional teams to ensure data integrity, reliability, and scalability. You need to have expertise in ...

GCP Data Engineer Job Location: New York - New York - USA Job Type: Contract * Architect and implement scalable cloud solutions using Python and GCP Bigtable Troubleshoot and resolve issues related ...

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to Lovkesh Bharti at 248-727-2506/ lovkesh.bharti@stefanini.com We are responsible for designing, building ...

GCP Data Engineer

Austin, TX

$113K - $136K/yr

GCP Data Engineer to serve fraud data mart customers. Data Engineer will closely work with cross-functional teams to ensure data integrity, reliability, and scalability. You need to have expertise in ...

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to Parul Singh at 248-582-6481/parul.singh@stefanini.com We are looking for Data Engineer who will be ...

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA · On-site

$111K - $134K/yr

Local Candidate only, Alpharetta, GA Overview We are seeking a highly skilled Data Engineer / Cloud Data Solutions engineer with experience in Google Cloud Platform (GCP) to design, build, and ...

GCP Data Engineer

New York, NY · On-site

$50 - $55/hr

GCP Certification (Professional Data Engineer required) * 5+ years in data engineering with strong Python and SQL skills * Deep experience with GCP: BigQuery, Dataflow, Pub/Sub, and Cloud Storage

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 ...

Showing results 21-40

Data Engineer Gcp Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 19, 2026, the average yearly pay for data engineer 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.

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 cities are hiring for Data Engineer Gcp Data Engineer jobs?

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

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

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

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

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

Infographic showing various Data Engineer Gcp Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Lead Data Engineer - GCP Data Architect

Capgemini

On-site

$145 - $190/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

98th of 224 rated it services


Job description

# Lead Data Engineer - GCP Data ArchitectChicagoApply for this job* Permanent* Experienced Professionals* Data & AI* ID 519413-en\_USChoosing 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 by a 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 organizations unlock 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 consideringWe 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.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-lawCapgemini 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. #J-18808-Ljbffr

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