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Senior Gcp Data Engineer Jobs (NOW HIRING)

Data Engineer - GCP

Dublin, OH · Hybrid

$108K - $129K/yr

Job Summary The Senior Data Engineer will design, build, optimize, and support enterprise-scale data pipelines within a hybrid big data architecture , primarily on Google Cloud Platform (GCP) . This ...

GCP Data Engineer

Chandler, AZ

$116K - $140K/yr

GCP Data Engineer At Staffworxs, we don't just connect talent -- we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep ...

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

GCP Data Engineer Duration: 6 months Contract to hire Location: Chicago is the preferred location, but open to candidates from anywhere in the U.S. Role Overview We are seeking a highly skilled GCP ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role: GCP Data Engineer (Data Engineering & Analytics / Cloud Migration) Location: phoenix , AZ / Philadelphia , PA Competencies Must-Have: Strong experience in GCP (Google Cloud Platform) data ...

GCP Data Engineer

Irving, TX

$109K - $132K/yr

GCP Data Engineer Location: Charlotte NC , Irving TX, Chandler AZ, Columbus OH , Des Moines and Minneapolis MN (3 days onsite) Duration: 12+ Months Contract Pay Rate: Open, DOE * This is a GCP Data ...

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

GCP Data Engineer Duration: 6 months Contract to hire Location: Chicago is the preferred location, but open to candidates from anywhere in the U.S. Role Overview We are seeking a highly skilled GCP ...

GCP Data Engineer (W2 Position)

Dearborn, MI · On-site

$105K - $126K/yr

We have a job opportunity of a Role GCP Data Engineer with given on W2 .Please forward related profiles to praveen@megansoft.com or +1(248) 266-0910. Position Title: GCP Data Engineer (W2 Position ...

GCP Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

GCP Data Engineer Location: Minneapolis, MN(Remote) • Design and deploy cloud-based infrastructure on Google Cloud Platform (GCP) using various services (e.g., Compute Engine, Kubernetes Engine ...

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

Strong Data and GCP Vertex AI knowledge * 6 years of experience with one of the leading public ... communicate with senior business managers and executives Skills Mandatory Skills : AI/GenAI ...

GCP Data Engineer Job Location: New York - New York - USA Job Type: Contract * Architect and implement scalable cloud solutions using Python and GCP Bigtable Troubleshoot and resolve issues related ...

GCP DATA ENGINEER

Arkansas City, AR · On-site

$106K - $128K/yr

GCP Data Engineer Location : Bentonville, AR (Onsite) Long Term Contract Except OPT All Visa Bachelors degree with minimum 09+years experience required. Must have strong experience in GCP , Scala ...

GCP Data Engineer

Irving, TX · Hybrid

$109K - $132K/yr

GCP Data Engineer Location: Irving, TX (Hybrid) Duration: 12 Month Contract Overview: This position is focused on IAM Data Lake -Data Engineering responsibilities. We are seeking a Data Engineer with ...

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

We are seeking a skilled GCP Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions on Google Cloud Platform. The ideal candidate will have strong experience ...

GCP Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... senior contributor to a data engineering project. Qualifications : Required : • 7+ years of ... AWS, GCP, etc. • 3+ years building, testing, and optimizing data ingestion pipelines ...

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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 Jun 8, 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 are Senior GCP Data Engineers?

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, and why are they important?

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.

More about Senior Gcp Data Engineer jobs
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 May 2026, with employment types broken down into 29% Full Time, and 71% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

$118K - $141K/yr

Other

Posted 2 days ago


Job description

GCP Data Engineer

We are seeking a highly skilled GCP Data Engineer to design, develop, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in building robust batch and streaming pipelines, implementing modern data architectures, and enabling reliable, high-quality data platforms for analytics, reporting, and machine learning use cases.

Key Responsibilities
  • Design, build, and optimize scalable batch and real-time (streaming) data pipelines using GCP native services.
  • Develop and maintain data ingestion frameworks leveraging tools such as Pub/Sub, Dataflow, and Cloud Storage.
  • Implement data transformation pipelines using BigQuery, dbt, and Python-based workflows.
  • Ensure efficient handling of large-scale structured and unstructured datasets.
  • Design and implement high-performance data models for cloud-based data lakes, data warehouses, and analytics platforms.
  • Optimize data schemas and partitioning strategies in BigQuery for performance and cost efficiency.
  • Support modern architectures such as medallion (bronze/silver/gold) layers and lakehouse patterns.
  • Write advanced SQL queries for transformation, validation, and analytics.
  • Develop scalable data processing logic using Python and/or Apache Beam.
  • Build reusable, modular, and maintainable code for data workflows.
  • Implement and maintain data quality checks, validation rules, and anomaly detection frameworks.
  • Enable data observability through monitoring, logging, and alerting mechanisms.
  • Ensure highly reliable data pipelines with fault tolerance and error handling strategies.
  • Support migration and modernization efforts from legacy ETL tools (e.g., Talend) to GCP-native ELT frameworks (dbt).
  • Optimize existing pipelines for performance, scalability, and maintainability in cloud environments.
  • Drive adoption of ELT best practices using BigQuery as the compute engine.
  • Collaborate with data architects, business analysts, and machine learning teams to deliver trusted datasets.
  • Translate business requirements into scalable data solutions.
  • Provide technical guidance and support for downstream analytics and reporting use cases.
  • Drive adoption of best practices in cloud data engineering, CI/CD, and DevOps.
  • Implement secure data access controls using IAM roles, policies, and governance frameworks.
  • Follow standards for code quality, version control (Git), and automated deployments.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 4+ years of experience in data engineering or data platform development.
  • Hands-on experience with Google Cloud Platform (GCP) services:
    • BigQuery
    • Dataflow
    • Pub/Sub
    • Cloud Storage
  • Strong proficiency in SQL and Python.
  • Experience with dbt (Data Build Tool) or similar ELT frameworks.
  • Experience building batch and streaming data pipelines.
Preferred Skills
  • Experience with Apache Beam or Spark.
  • Familiarity with Talend or other ETL tools and migration to cloud-native solutions.
  • Knowledge of data lakehouse architectures and modern data stack.
  • Experience with CI/CD tools (e.g., GitHub Actions, Cloud Build, Jenkins).
  • Understanding of data security, governance, and compliance standards.
  • Exposure to machine learning data pipelines and feature engineering.
Key Competencies
  • Strong problem-solving and analytical skills
  • Ability to work in cross-functional teams
  • Excellent communication and documentation skills
  • Focus on performance optimization and scalability
  • Attention to data quality and reliability