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Senior Gcp Data Engineer Jobs (NOW HIRING)

$121K - $145K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Sr. GCP Data Engineer

Alpine, NJ

$118K - $142K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

$119K - $143K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Sr. GCP Data Engineer

Flushing, NY

$119K - $143K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Sr. GCP Data Engineer

Rutherford, NJ

$116K - $140K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Sr. GCP Data Engineer

Wood Ridge, NJ

$116K - $140K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Sr. GCP Data Engineer

Queens, NY

$119K - $143K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Sr. GCP Data Engineer

Jamaica, NY

$120K - $144K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

$120K - $144K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Sr. GCP Data Engineer

Brooklyn, NY

$117K - $140K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Sr. GCP Data Engineer

River Edge, NJ

$116K - $140K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

$120K - $144K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Sr. GCP Data Engineer

Belleville, NJ

$116K - $139K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Sr. GCP Data Engineer

Elmhurst, NY

$120K - $145K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Showing results 21-40

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 Sep 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 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 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 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 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 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

$121K - $145K/yr

Full-time

Posted 12 days ago


Job description

Role Summary

This is Client-Facing, Onshore role,  Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google Cloud Platform (GCP). The role requires strong hands-on expertise in BigQuery, Airflow/Cloud Composer, Python development, SQL optimization, and enterprise data migration programs. The candidate will act as the technical anchor for the engagement, partnering closely with business stakeholders, architects, QA teams, and offshore delivery teams to ensure successful execution of data engineering and analytics solutions.

Key Responsibilities

  • Lead end-to-end design and delivery of GCP-based data engineering and migration solutions.
  • Design, develop, and optimize scalable data pipelines using Cloud Composer (Airflow) and Python.
  • Build and manage enterprise data warehouses and analytics solutions using BigQuery.
  • Perform complex SQL troubleshooting, query optimization, and data validation across large datasets.
  • Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and regulatory compliance.
  • Conduct data analysis to identify quality issues, transformation requirements, and optimization opportunities.
  • Collaborate with business users, data architects, and cross-functional teams to translate requirements into scalable solutions.
  • Review code, enforce engineering best practices, and provide technical leadership to development teams.
  • Coordinate with QA teams to define test strategies, perform data reconciliation, and support defect resolution.
  • Support production deployments, troubleshooting, performance tuning, and operational excellence initiatives.

Required Skills & Qualifications

  • 10+ years of experience in Data Engineering, Analytics, and Cloud Data Platforms.
  • Strong hands-on experience with Google BigQuery.
  • Strong hands-on experience with Cloud Composer / Apache Airflow using Python.
  • Advanced SQL development, debugging, and performance tuning expertise.
  • Experience in large-scale Data Migration and Data Modernization programs.
  • Strong understanding of data modeling, ETL/ELT frameworks, and data warehousing concepts.
  • Experience working with structured and semi-structured datasets.
  • Knowledge of GCP services such as Cloud Storage, Dataflow, Dataproc, IAM, Monitoring, and Logging.
  • Experience with CI/CD pipelines and DevOps practices in cloud environments.
  • Understanding of Agile delivery methodologies.

Preferred Qualification.

  • Experience in Banking, Financial Services, or Wealth Management domains.
  • Exposure to Data Quality, Data Governance, and Metadata Management frameworks.
  • Knowledge of QA processes, test case creation, defect management, and data validation techniques.
  • GCP Professional Data Engineer Certification preferred.
  • Experience with migration from Teradata, Hadoop, Oracle, SQL Server, or other legacy platforms to GCP.

Soft Skills & Delivery Expectations

  • Excellent stakeholder management and client-facing communication skills.
  • Ability to lead distributed onshore-offshore teams.
  • Strong analytical and problem-solving capabilities.
  • High accountability for delivery outcomes.
  • Experience managing multiple workstreams within a fast-paced delivery environment.