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Gcp Data Engineer Certification Jobs (NOW HIRING)

Sr. GCP Data Engineer

Dumont, NJ

$125K - $150K/yr

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

Sr. GCP Data Engineer

Bronx, NY

$119K - $143K/yr

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

Sr. GCP Data Engineer

Bayside, NY · On-site

$119K - $143K/yr

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

Sr. GCP Data Engineer

Fairview, NJ

$127K - $153K/yr

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

Sr. GCP Data Engineer

Rosedale, NY

$120K - $144K/yr

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

Sr. GCP Data Engineer

Astoria, NY

$125K - $150K/yr

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

Sr. GCP Data Engineer

Union, NJ

$116K - $140K/yr

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

$120K - $144K/yr

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

Sr. GCP Data Engineer

Elmhurst, NY

$120K - $145K/yr

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

Showing results 21-40

Gcp Data Engineer Certification information

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$44.5K

$129.7K

$177.5K

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

As of Sep 9, 2026, the average yearly pay for gcp data engineer certification 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 the GCP Data Engineer Certification?

The GCP Data Engineer Certification, formally known as the Google Cloud Professional Data Engineer certification, is a professional credential offered by Google Cloud. It validates an individual's ability to design, build, operationalize, secure, and monitor data processing systems using Google Cloud technologies. Earning this certification demonstrates proficiency in data processing, data analysis, machine learning, and data pipeline management on the Google Cloud Platform. It is ideal for professionals seeking to showcase their expertise in managing and leveraging data within the Google Cloud ecosystem.

What types of projects or tasks can I expect to work on after earning the GCP Data Engineer Certification?

After earning a GCP Data Engineer Certification, you can expect to work on projects involving data pipeline development, real-time and batch data processing, and building scalable data solutions using Google Cloud tools like BigQuery, Dataflow, and Pub/Sub. Typical responsibilities include designing data models, transforming and migrating data, and ensuring data quality and security. You'll often collaborate closely with data scientists, analysts, and other engineers to support business intelligence and machine learning initiatives. This role often involves troubleshooting, optimizing performance, and staying updated with new GCP features to deliver efficient data solutions.

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

To thrive as a GCP Data Engineer, you need a strong background in data modeling, ETL processes, SQL, and programming languages like Python or Java, often supported by a relevant degree and the Google Professional Data Engineer certification. Familiarity with Google Cloud Platform tools such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage is typically required. Strong problem-solving, communication, and collaboration skills help set you apart in designing and maintaining scalable data solutions. These abilities are crucial for ensuring efficient data pipelines and supporting business intelligence and analytics initiatives in cloud environments.

What are popular job titles related to Gcp Data Engineer Certification jobs?

For Gcp Data Engineer Certification jobs, the most frequently searched job titles are:

Sr. GCP Data Engineer

Saddle Brook, NJ

Long Finch Technologies
IT Services • 51 - 200 employees

$120K - $144K/yr

Full-time

Posted 16 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.