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Full Time Gcp Data Engineer Jobs (NOW HIRING)

Long Finch Technologies

Sr. GCP Data Engineer

Dumont, NJ · On-site

$125K - $150K/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 ...

Long Finch Technologies

Sr. GCP Data Engineer

Little Ferry, NJ · On-site

$123K - $148K/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 ...

Long Finch Technologies

Sr. GCP Data Engineer

Bronx, NY · On-site

$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 ...

Long Finch Technologies

Sr. GCP Data Engineer

Saddle Brook, NJ · On-site

$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 ...

Long Finch Technologies

Sr. GCP Data Engineer

Bayside, NY · On-site

$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 ...

Long Finch Technologies

Sr. GCP Data Engineer

Sunnyside, NY · On-site

$123K - $148K/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 ...

SWITS DIGITAL Private Limited

GCP Data Engineer

$117K - $140K/yr

Data Engineer Location: Denver, CO (Remote) Only W2 Candidates Mandatory Skills - GCP - Java - Medalion Job Summary We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud ...

CEDENT

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 ...

Long Finch Technologies

Sr. GCP Data Engineer

Mount Vernon, NY · On-site

$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 ...

Long Finch Technologies

Sr. GCP Data Engineer

Fairview, NJ · On-site

$127K - $153K/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 ...

Long Finch Technologies

Sr. GCP Data Engineer

Forest Hills, NY · On-site

$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 ...

Long Finch Technologies

Sr. GCP Data Engineer

Rosedale, NY · On-site

$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 ...

Long Finch Technologies

Sr. GCP Data Engineer

Astoria, NY · On-site

$125K - $150K/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 ...

InterSources Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

They are seeking a GCP Data Engineer to design, build, and test scalable data ingestion pipelines while ensuring the operationalization of data warehouses and analytics platforms on GCP.

Long Finch Technologies

$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 ...

Long Finch Technologies

Sr. GCP Data Engineer

Lodi, NJ · On-site

$124K - $149K/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 ...

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Full Time Gcp Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Sep 6, 2026, the average yearly pay for full time 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 does a full time GCP data engineer do?

A Full Time GCP Data Engineer is responsible for designing, building, and managing data processing systems on the Google Cloud Platform (GCP). They work with large datasets, create data pipelines using GCP tools like BigQuery, Dataflow, and Cloud Storage, and ensure data is securely stored, processed, and made accessible for analytics or machine learning. Their role often involves optimizing data workflows, maintaining data quality, and collaborating with data scientists and analysts. Additionally, they implement best practices for data security, scalability, and cost efficiency within the GCP ecosystem.

What are some common challenges faced by full time GCP data engineers when working with large-scale data pipelines?

Full Time GCP Data Engineers often encounter challenges such as optimizing data pipeline performance, managing costs associated with cloud resources, and ensuring data quality and security. Working with large-scale data can introduce complexities related to data partitioning, schema evolution, and latency in data processing. Collaboration with data scientists, analysts, and other engineers is essential to align data architecture with business requirements and to troubleshoot issues quickly. Staying up to date with the latest GCP services and best practices is also important to maintain efficient and scalable solutions.

What are the key skills and qualifications needed to thrive as a full time GCP data engineer, and why are they important?

To thrive as a Full Time GCP Data Engineer, you need strong expertise in data engineering concepts, SQL, programming languages like Python or Java, and experience with cloud data platforms, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Dataproc, and relevant certifications like Google Professional Data Engineer are highly beneficial. Outstanding problem-solving skills, attention to detail, and effective communication set top performers apart. These competencies are crucial for designing scalable data solutions, ensuring data integrity, and seamlessly collaborating with cross-functional teams.

What is the difference between Full Time Gcp Data Engineer vs Gcp Data Analyst?

AspectFull Time Gcp Data EngineerGcp Data Analyst
Required SkillsData pipeline development, cloud architecture, SQL, Python, GCP servicesData querying, visualization, SQL, Excel, GCP BigQuery
CertificationsGCP Professional Data Engineer, Cloud certificationsGCP Data Analytics certifications (optional)
Work EnvironmentDesigning and maintaining data infrastructure in cloud environmentsAnalyzing data, creating reports, supporting business decisions
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

Full Time Gcp Data Engineers focus on building and maintaining data pipelines and infrastructure in GCP, requiring technical skills in cloud architecture and programming. Gcp Data Analysts primarily analyze data and generate insights, often using visualization tools. While both roles work with GCP services, their responsibilities and skill sets differ significantly.

What cities are hiring for Full Time Gcp Data Engineer jobs?

Cities with the most Full Time 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 Full Time Gcp Data Engineer jobs?

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

Full Time Gcp Data Engineer jobs near you

Sr. GCP Data Engineer

Long Finch Technologies

Ridgefield Park, NJ • On-site

$122K - $147K/yr

Full-time

Posted 12 days ago

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.

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.

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