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Senior Gcp Data Engineer Jobs (NOW HIRING)

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 ...

Sr. GCP Data Engineer

New York, NY · On-site

$125K - $150K/yr

Job Title: Sr. GCP Data Engineer Location: New Jersey / New York (Onsite from Day 1) Job Type: Contract / Full Time Experience: 10+ years Job Overview Key Responsibilities * Design, develop, and ...

New

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 ...

Sr GCP Data Engineer

Austin, TX · On-site

$114K - $137K/yr

  • Retirement

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 ...

Sr GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Job Summary : EITACIES Inc. is seeking a Senior Data Platform Engineer for an onsite role in ... GCP (Dataproc, BigQuery, Cloud Storage preferred) • Experience building APIs using FastAPI • ...

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 ...

... Platform (GCP). * Work hands-on with BigQuery for data warehousing and analytics use cases ... Must be a hands-on developer (no pure coordination roles). Founded in 2010 and headquartered in the ...

GCP Data Engineer

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

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 ...

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

GCP Data Engineer KEY RESPONSIBILITIES * Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow * Develop and maintain BigQuery data models, schemas, and ...

Senior GCP Data Engineer

$108K - $147K/yr

  • Retirement

  • PTO

We're a modern product engineering partner blending strategy, craftsmanship, and speed to help organizations modernize confidently in the age of AI. From data ecosystems to digital products and AI ...

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Requirement - GCP Data Engineer Location- Bentonville, Arkansas Contract W2 KEY RESPONSIBILITIES * Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow

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 ...

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 ...

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.

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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 Aug 16, 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 is a Senior GCP Data Engineer?

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.

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?

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.

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:

Infographic showing various Senior Gcp Data Engineer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Sr GCP Data Engineer

Tech Tammina LLC

Manhattan, NY • On-site

$117K - $158K/yr

Contractor

Re-posted 8 days ago


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.