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Senior Gcp Data Engineer Jobs (NOW HIRING)

Tech Tammina LLC

Sr GCP Data Engineer

Manhattan, NY · On-site

$117K - $158K/yr

Senior GCP Data Engineer Location: New York, Onsite. USC & GC only Key Responsibilities * Design, build, and optimize end-to-end data pipelines using GCP-native services such as Dataflow, Dataproc ...

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Staffingine LLC

Senior GCP Data Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Senior GCP Data Engineer Job Location: Phoenix, AZ Job Type: Contract Data Engineering & Pipelines * Design and develop batch and streaming pipelines using Dataflow (Apache Beam) * Build real-time ...

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Tata Consultancy Services

Senior GCP Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Tata Consultancy Services is seeking a Senior GCP Data Engineer to leverage their expertise in Google Cloud Platform and Python. The role involves building and maintaining data pipelines, optimizing ...

RXO

Senior GCP Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

As a Senior GCP Data Engineer at RXO, you'll play a role in accomplishing the following team goals: data centralization, data governance and data integrity. You'll lead component design and ...

Eitacies Inc

Sr GCP Data Engineer

Austin, TX · On-site

$114K - $137K/yr

Benefits: * 401(k) Senior Data Platform Engineer Onsite Austin, TX We are hiring a Senior Data ... Hands-on experience with GCP (Dataproc, BigQuery, Cloud Storage preferred) * Experience building ...

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Marencor

Senior GCP Data Engineer

Manhattan, NY · On-site

$117K - $158K/yr

... engineering. * 8+ years of hands-on experience designing, building, and maintaining data pipelines in enterprise environments. * 5+ years of recent experience working with Google Cloud Platform (GCP ...

Lorven Technologies

GCP Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Our client is looking GCP Data Engineer project , below is the detailed requirements. Position: GCP ... Lead / Senior level experience with GCP / Google Cloud (Pubsub / Dataflow / Big Query) * Experience ...

CEDENT

GCP Data Engineer

Alpharetta, GA

$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 ...

Meta Force Technology Staffing LLC

GCP Data Engineer

Raleigh, NC · Remote

$117K - $140K/yr

Remote Job Role Junior (GCP Data Engineer - Teradata to GCP Migration): - Remote Must Have - Migration from Teradata to GCP 2-4 Years of Experience in Seeking a skilled GCP Data Engineer to support ...

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Donato Technologies, Inc

GCP Cloud Architect

Phoenix, AZ · On-site

Job Title: Sr. GCP Cloud Architect Job Location: Phoenix, AZ Job Duration: 12+ Months * 5+ years of ... offerings, GCP Data Engineer certification is plus. * Hands on experience in GCP BigQuery ...

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IT America Inc

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

GCP Data Engineer Location: Richardson, TX Duration: Long term contract Interview: F2F (Face to Face)/Onsite Job Summary: We are seeking an experienced Google Cloud Platform (GCP) Data Engineer to ...

Lorven Technologies

GCP Data Engineer

Charlotte, NC · On-site

$103K - $124K/yr

Hi Our client is looking for a GCP Data Engineer project in Charlotte, NC below is the detailed requirement. Job positing Title: GCP Data Engineer Location: Charlotte, NC Required Skills: GCP,SQL ...

Interon IT Solutions

GCP Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

GCP Data Engineer Location: Richardson,Texas or Hartford,CT, (Hybrid / Onsite as required) Employment Type: Contract (W2) Role Overview Our client is seeking an experienced GCP Data Engineer to ...

Perficientcorp Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

| GCP Data Engineer | Phoenix, AZ | Contract Opportunity Location: Phoenix, AZ (Onsite/Hybrid) Duration: 12+ Months Experience Required: 5-7+ Years Visa: All Visas Accepted ⚡ Quick Client Feedback ...

Sarian, Inc.

GCP Data Engineer

Brooklyn, OH · On-site

$107K - $129K/yr

GCP Data Engineer Location: Brooklyn, OH Fulltime position Onsite position JD: * GCP Data Engineer * Experience: * Realtime and batch data integration development experience using GCP services.

AceStack LLC

GCP Data Engineer

Dublin, OH · On-site

$108K - $129K/yr

GCP Data Engineer Location: Dublin OH (Remote) Duration: 6 months Strong data engineering technical acumen to understand current solutions and enhance per business requirements Expertise in Data ...

Navtech, Inc.

GCP Data Engineer

Lone Tree, CO · On-site

$60/hr

GCP Data Engineer Location : Lone Tree, Co (remote until Covid is resolved) Duration : 12 Months ... Deliver end to end comprehensive documentation along with code samples Best Regards Syed Imran Sr ...

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Senior Gcp Data Engineer information

See salary details

$81K

$126.3K

$175K

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

As of Jul 6, 2026, the average yearly pay for senior gcp data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior GCP Data Engineers with extensive experience, specialized skills in cloud architecture, and certifications such as Google Cloud Professional Data Engineer can earn salaries approaching or exceeding $500,000 annually, especially in high-demand markets or with additional responsibilities like team leadership or consulting. Compensation varies based on location, company size, and individual expertise.

What are Senior GCP Data Engineers?

Senior GCP Data Engineers are experienced professionals who design, build, and manage data processing systems on Google Cloud Platform (GCP). They are responsible for developing scalable data pipelines, ensuring data quality, and enabling analytics and machine learning solutions. Their work often involves using tools like BigQuery, Dataflow, and Dataproc, as well as programming languages such as Python or SQL. Senior GCP Data Engineers also mentor junior team members and contribute to architectural decisions to ensure best practices in cloud data engineering.

Is GCP Data Engineer in demand?

GCP Data Engineers are in high demand due to the increasing adoption of Google Cloud Platform for data processing and analytics. Skills in cloud services, data pipelines, and tools like BigQuery and Dataflow are highly sought after by organizations seeking scalable data solutions.

What are some common challenges faced by Senior GCP Data Engineers when migrating legacy data systems to Google Cloud Platform?

Senior GCP Data Engineers often encounter challenges such as ensuring data integrity during large-scale migrations, optimizing performance for cloud-native architectures, and adapting legacy ETL processes to leverage GCP services like BigQuery and Dataflow. Collaborating with cross-functional teams to map business requirements to cloud solutions is also key. Additionally, they must address security and compliance concerns, ensuring data is protected throughout the migration process.

What are the key skills and qualifications needed to thrive as a Senior GCP Data Engineer, and why are they important?

To thrive as a Senior GCP Data Engineer, you need deep expertise in data engineering concepts, SQL, programming languages like Python or Java, and a strong understanding of Google Cloud Platform (GCP) services, usually supported by a bachelor’s degree in computer science or a related field. Familiarity with tools such as BigQuery, Dataflow, Cloud Composer, and relevant GCP certifications like Professional Data Engineer is highly valued. Strong problem-solving, communication, and project management skills set top performers apart, enabling effective collaboration and leadership in complex data projects. These capabilities are crucial for designing scalable data solutions, ensuring data reliability, and driving data-driven decision-making within organizations.

Can I make 200K as a Data Engineer?

Senior GCP Data Engineers with extensive experience, specialized skills in cloud platforms, and certifications such as Google Cloud Professional Data Engineer can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas or with senior-level responsibilities. Compensation varies based on location, company size, and individual expertise, but reaching this level is achievable with advanced skills in data pipelines, SQL, and cloud architecture.

What is the salary of senior GCP Data Engineer?

The salary of a Senior GCP Data Engineer typically ranges from $110,000 to $160,000 annually, depending on experience, location, and company size. Certifications in Google Cloud Platform and expertise in data pipelines and BigQuery can influence compensation levels.

What is the difference between Senior Gcp Data Engineer vs Data Scientist?

AspectSenior Gcp Data EngineerData Scientist
Required CredentialsCloud certifications (GCP), SQL, Python, data engineering skillsStatistics, machine learning, programming (Python/R), advanced degrees often preferred
Work EnvironmentData pipelines, cloud infrastructure, ETL processesData analysis, modeling, research, visualization
Industry UsageData infrastructure, big data projects, cloud-based data solutionsPredictive modeling, insights, data-driven decision making

The main difference is that Senior Gcp Data Engineers focus on building and maintaining data pipelines and infrastructure on GCP, while Data Scientists analyze data to generate insights and models. Both roles require strong technical skills, but their core responsibilities differ significantly.

What cities are hiring for Senior Gcp Data Engineer jobs? Cities with the most Senior 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 Senior Gcp Data Engineer jobs? States with the most job openings for Senior Gcp Data Engineer jobs include:
What job categories do people searching Senior Gcp Data Engineer jobs look for? The top searched job categories for Senior Gcp Data Engineer jobs are:
Senior Gcp Data Engineer jobs near you
Infographic showing various Senior Gcp Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
Sr GCP Data Engineer

Sr GCP Data Engineer

Tech Tammina LLC

Manhattan, NY • On-site

$117K - $158K/yr

Contractor

Posted 27 days ago

Be an early applicant

Job description

Title: Senior GCP Data Engineer
Location: New York, Onsite.
USC & GC only

Key Responsibilities

  • Design, build, and optimize end-to-end data pipelines using GCP-native services such as Dataflow, Dataproc, and Pub/Sub.
  • Implement data ingestion, transformation, and processing workflows using Apache Beam, Apache Spark, and scripting in Python.
  • Manage and optimize data storage using BigQuery, Cloud Storage, and Cloud SQL to ensure performance, scalability, and cost-efficiency.
  • Enforce enterprise-grade data security and access controls using GCP IAM and Cloud Security Command Center.
Required Skills and Qualifications
  • 12+ years of overall IT experience, with deep specialization in data engineering.
  • 8+ years of hands-on experience designing, building, and maintaining data pipelines in enterprise environments.
  • 5+ years of recent experience working with Google Cloud Platform (GCP)-specifically within a major U.S. bank or brokerage firm (required, no exceptions).
  • Strong expertise in:
    • GCP services: Dataflow, Dataproc, Pub/Sub, BigQuery, Cloud Storage, Cloud SQL.
    • Data processing frameworks: Apache Beam and Apache Spark.
    • Scripting and automation: Advanced proficiency in Python and SQL for data manipulation, transformation, and querying.
  • Proven experience implementing GCP IAM policies and managing data access/security at scale.
  • Demonstrated ability to ensure low-latency, high-throughput data systems through performance tuning and best practices.