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Remote Gcp Data Engineer Jobs (NOW HIRING)

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Lead Data Engineer

Iselin, NJ · On-site +1

$116K - $139K/yr

In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Lead Data Engineer

Iselin, NJ · On-site +1

$116K - $139K/yr

In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Lead Data Engineer

Charlotte, NC · On-site +1

$111K - $134K/yr

In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Lead Data Engineer

Charlotte, NC · On-site +1

$111K - $134K/yr

In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... Hands-on experience with GCP and GCP data products (BigQuery, Cloud SQL, Cloud Storage, etc.

Senior Data Engineer

$108K - $147K/yr

Fully Remote The fellowship you'll be joining: You will be part of the Data, Analytics & AI team ... GCP, BigQuery, Bigtable, Cloud Storage * Streaming & messaging: Pub/Sub, Kafka * Processing:

Data Engineer with GCP

$117K - $140K/yr

Data engineer with GCP Location : FL /TX Skills:- * Experience working in GCP based Big Data deployments (Batch/Real-Time)Leveraging Big Query,Fusion, Dataflow, Dataproc, etc. * Demonstrated mastery ...

URGENT NEED - Data Engineer ___ REMOTE

$117K - $140K/yr

I have an opportunity for " Data Engineer ___ REMOTE" and I am looking for a candidate who can join ... Knowledge of databases (SQL/NoSQL) and cloud platforms (AWS, GCP, or Azure). Regards, Alex . K ...

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and services like S3, Redshift, BigQuery ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

"DATA ENGINEER"

Cupertino, CA · Remote

$117K - $140K/yr

Position: Data Engineer Location: Remote Duration: 6 month contract Note: Client is looking for ... Comfortable working with cloud platforms (e.g., AWS, GCP, Azure) and tools like BigQuery, Redshift ...

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and ... GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage * Familiarity with big data tools like ...

Sr. Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... Hands-on experience with GCP and GCP data products (BigQuery, Cloud SQL, Cloud Storage, etc.

Cloud Data Engineer-GCP- 4 positions Location- Remote Salary- $125k base 130k base + (15% to 18%) Performance Bonus + Benefits * 7-10 years of total IT experience & 2+ years of experience in GCP

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Remote Gcp Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jul 22, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote GCP Data Engineer, and why are they important?

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

How does a Remote GCP Data Engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

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

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What is a Remote GCP Data Engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.
What cities are hiring for Remote Gcp Data Engineer jobs? Cities with the most Remote 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 Remote Gcp Data Engineer jobs? States with the most job openings for Remote Gcp Data Engineer jobs include:
What job categories do people searching Remote Gcp Data Engineer jobs look for? The top searched job categories for Remote Gcp Data Engineer jobs are:
Infographic showing various Remote Gcp Data Engineer job openings in the United States as of July 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Lead Data Engineer

Lead Data Engineer

Wells Fargo

Irving, TX • On-site, Remote

$109K - $132K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 11 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 702 frontline employees who took The Breakroom Quiz

75th of 150 rated banks


Job description

About this role:

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our cloudnative data ecosystem. In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the design, build, and operation of reusable data capabilities that power analytics and AI at enterprise scale. The ideal candidate is passionate about standardized frameworks, selfservice data platforms, and governancebydesign, enabling secure, reliable, and compliant data solutions across Google Cloud services.

The COO Technology group powers the firm's most critical operations by modernizing and optimizing enterprise technology platforms that enable resiliency, regulatory excellence, data services, customer experience, and strategic execution across the Chief Operating Office.

In this role, you will:

  • Design and implement scalable, secure data platforms on Google Cloud using managed services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer).)
  • Build reusable frameworks and tooling (ingestion, transformation, quality, orchestration) that can be adopted by multiple product and domain teams.
  • Enable selfservice data consumption and governance by standardizing patterns, templates, and platform capabilities rather than oneoff pipelines.
  • Design logical and physical data platform architectures leveraging BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, and Cloud Storage.
  • Define and implement standardized ingestion, transformation, and serving patterns (batch and streaming) as reusable blueprints.
  • Optimize cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies).
  • Build opinionated data ingestion frameworks (e.g., configdriven pipelines, connectors, schema handling, error handling) on top of Dataflow, Dataproc, or Composer.
  • Develop shared transformation libraries in Python/SQL/Beam (e.g., common SCD patterns, data quality checks, masking/tokenization routines).
  • Provide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration.
  • Implement robust data modeling (dimensional, data vault, or canonical models) and semantic layers in BigQuery and related tools.
  • Enforce data quality, lineage, and observability using standardized metrics, validation rules, and monitoring dashboards.
  • Apply security and governance controls: IAM, VPCSC, CMEK, row/columnlevel security, and policydriven access patterns
  • Partner with domain data engineers, analytics, and ML teams to onboard use cases onto platform services and frameworks
  • Document patterns, runbooks, and best practices, and provide enablement through workshops and code examples.
  • Contribute to platform roadmap, tool selection, and evaluation of new GCP services and opensource components

Required Qualifications:

  • 5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5+ years of data management experience within Public Cloud (GCP, AWS, Azure)
  • 5+ years of hands on experience of Python or Java, plus Spark SQL for building data pipelines, libraries, and automation tooling.
  • 5+ years with orchestration tools (Cloud Composer/Airflow) and CI/CD (Cloud Build, Gitbased workflows) for data workloads

Desired Qualifications:

  • Experience with logging/monitoring stacks (Cloud Logging, Cloud Monitoring, error reporting, metrics dashboards
  • Experience with automated testing, data quality checks, and monitoring for pipelines and platform services.
  • Knowledge of cloud architecture principles (networking, security, IAM, reliability, cost management).
  • Experience with core GCP data services: BigQuery, Dataflow/Apache Beam, Dataproc, Pub/Sub.
  • Experience with Agile transformations and technology roadmaps.
  • Experience working with onshore and offshore teams.

Job Expectations:

  • Flexible to provide both application development and production support during off-hours
  • This role is not eligible for Visa Sponsorship
  • Hybrid schedule (3 days in office, 2 days remote)
  • Work Transparently: You always deal in an honest, direct, and transparent way
  • Take Ownership: You embrace responsibility and find joy in having the answers
  • Learn More: You regularly self-educate and improve your skill set

Job Posting Locations:

194 S Wood Ave, Iselin, New Jersey 08830

300 S Brevard St., CHARLOTTE, North Carolina 28202

401 Las Colinas Blvd W Bldg A, Irving, Texas 75039

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$119,000.00 - $224,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

27 Jul 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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