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Data Engineer Gcp Data Engineer Jobs (NOW HIRING)

Long Finch Technologies

Sr. GCP Data Engineer

Elmhurst, NY · On-site

$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 ...

Long Finch Technologies

Sr. GCP Data Engineer

Rutherford, NJ · 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

Wood Ridge, NJ · 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

$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

Flushing, 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

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 ...

Long Finch Technologies

Sr. GCP Data Engineer

Brooklyn, NY · On-site

$122K - $147K/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

Paterson, NJ · On-site

$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 ...

Long Finch Technologies

Sr. GCP Data Engineer

Newark, NJ · 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

Breezy Point, NY · On-site

$131K - $157K/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

Ridgefield, NJ · On-site

$115K - $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 ...

Long Finch Technologies

Sr. GCP Data Engineer

Maywood, NJ

$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

Teterboro, NJ · On-site

$123K - $147K/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

Tenafly, NJ · On-site

$121K - $146K/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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How much do data engineer gcp data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data engineer 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 is a GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

What are the key skills and qualifications needed to thrive as a GCP data engineer?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

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

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

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Data Engineer Gcp Data Engineer jobs near you
Infographic showing various Data Engineer Gcp Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Sr. GCP Data Engineer

Elmhurst, NY • On-site

Long Finch Technologies
IT Services • 51 - 200 employees
Learn more about Long Finch Technologiesexternal

$120K - $145K/yr

Full-time

Posted 16 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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