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Senior Gcp Data Engineer Jobs (NOW HIRING)

Co-Sourcing Partners

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 ...

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

GCP Data Engineer Location : Dearborn, Michigan (Onsite) Term : C2C/W2 role Exp : 10+ Yrs : Basic Requirement: Seeking an experienced Data Engineer to design, build, and maintain our data ...

Donato Technologies, Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

GCP Data Engineer role Phoenix, AZ Need a Vedio screening Required skills • BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience ...

Bright Mind Solutions LLC

GCP Data Engineer

New York, NY · On-site

$50 - $55/hr

Need Local as for onsite interview Senior Data Engineer Location: Hybrid 3 days a week onsite ... Lead data migrations from Snowflake/AWS to GCP * Enforce data quality, monitoring, and performance ...

Synergyassure Inc

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 ...

Megan soft Inc

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 ...

Staffingine LLC

GCP Data Engineer

New York, NY · On-site

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 ...

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Ruri Software Technologies LLC

GCP Data Engineer

Irving, TX · On-site

$109K - $132K/yr

GCP Data Engineer work Location: Irving, TX Duration: 8+ Months * Big data expert with 6+ years experience in Hadoop Big data ecosystem * Spark - Batch & Streaming (Python,Scala ) * Apache Kafka ...

Noblesoft Technologies

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 ...

Trinity Technology Solutions

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 ...

Lorven Technologies

Lead GCP Data Engineer

Charlotte, NC · On-site

$93K - $122K/yr

Hi Our client is looking for a Lead GCP Data Engineer project in Charlotte, NC below is the detailed requirement. Job positing Title: Lead GCP Data Engineer Location: Charlotte, NC Required Skills:

Stefanini Group

GCP Data Engineer

Dearborn, MI

... a Senior Cloud Database Engineer to join our Platform Engineering team. This role focuses on ... GCP Professional Cloud Database Engineer or Data Engineer. * Proficiency in Terraform and ...

IntraEdge

GCP Data Engineer

Austin, TX

$113K - $136K/yr

GCP Data Engineer to serve fraud data mart customers. Data Engineer will closely work with cross-functional teams to ensure data integrity, reliability, and scalability. You need to have expertise in ...

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Senior Gcp Data Engineer information

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$81K

$126.3K

$175K

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

As of Jul 7, 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 engineer makes $500,000 a year?

Senior GCP Data Engineers with extensive experience, specialized skills in cloud architecture, and certifications such as Google Cloud Professional Data Engineer can earn salaries approaching or exceeding $500,000 annually, especially in high-demand markets or with additional responsibilities like team leadership or consulting. Compensation varies based on location, company size, and individual expertise.

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.

Is GCP Data Engineer in demand?

GCP Data Engineers are in high demand due to the increasing adoption of Google Cloud Platform for data processing and analytics. Skills in cloud services, data pipelines, and tools like BigQuery and Dataflow are highly sought after by organizations seeking scalable data solutions.

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.

Can I make 200K as a Data Engineer?

Senior GCP Data Engineers with extensive experience, specialized skills in cloud platforms, and certifications such as Google Cloud Professional Data Engineer can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas or with senior-level responsibilities. Compensation varies based on location, company size, and individual expertise, but reaching this level is achievable with advanced skills in data pipelines, SQL, and cloud architecture.

What is the salary of senior GCP Data Engineer?

The salary of a Senior GCP Data Engineer typically ranges from $110,000 to $160,000 annually, depending on experience, location, and company size. Certifications in Google Cloud Platform and expertise in data pipelines and BigQuery can influence compensation levels.

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:
What job categories do people searching Senior Gcp Data Engineer jobs look for? The top searched job categories for Senior Gcp Data Engineer jobs are:
Senior Gcp Data Engineer jobs near you
Infographic showing various Senior Gcp Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
GCP Data Engineer

GCP Data Engineer

Co-Sourcing Partners

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Posted yesterday

Job description

Job Title: 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 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
Data Engineering & Pipeline Development
  • Design, build, and optimize scalable batch and real-time (streaming) data pipelines using GCPnative 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. Data Modeling & Architecture
  • 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.

Development & Coding
  • 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.

Data Quality, Observability & Reliability
  • 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.

ETL/ELT Modernization
  • 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.

Collaboration & Stakeholder Engagement
  • 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.

Best Practices & Governance
  • 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

Apply