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Sr Gcp Data Engineer Jobs (NOW HIRING)

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 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 ...

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 ...

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 ...

GCP Data Engineer

New York, NY · On-site

$125K - $150K/yr

GCP Data Engineer Required Skills5+ years of experience in Data Engineering.Strong hands-on experience with Google Cloud Platform (GCP).Expertise in BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud ...

GCP DATA ENGINEER

Denver, CO · On-site

$117K - $141K/yr

GCP DATA ENGINEER Contract • Denver, Colorado • On-site / Hybrid Position Type Contract (1099 / C2C) Duration 6-12 Months (with extension potential) Location Denver, Colorado --5 days 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 ...

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

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

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

Phoenix, AZ · On-site

$113K - $136K/yr

GCP Data engineer Location: Phoenix, AZ(onsite) Duration: Long term Experience: Min 6 years Visa: OPT,CPT, H4 EAD & L2 Mode of hiring: W2 Strong experience with Google Cloud Platform (GCP) services ...

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 ...

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

Irving, TX · On-site

$106K - $127K/yr

Abode TechZone, LLC is seeking an experienced GCP Data Engineer with strong expertise in Google Cloud Platform services. The ideal candidate will be responsible for designing, developing, and ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

GCP Data Engineer My client is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and ...

GCP Data Engineer

Appleton, WI · On-site

$75 - $80/hr

GCP Data Engineer - (Subcontract at an NRI) Through NRI Resource Management Services (RMS), we offer custom talent solutions to help our clients meet their evolving technology and business needs. We ...

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 ...

Showing results 21-40

Sr Gcp Data Engineer information

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$81K

$126.3K

$175K

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

As of Jul 27, 2026, the average yearly pay for sr 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 the key skills and qualifications needed to thrive as a Sr GCP Data Engineer, and why are they important?

To thrive as a Sr GCP Data Engineer, you need deep expertise in data engineering, cloud architecture, and programming languages such as Python or Java, typically supported by a bachelor’s or master’s degree in computer science or a related field. Proficiency with Google Cloud Platform (GCP) services—like BigQuery, Dataflow, and Cloud Storage—as well as experience with data pipeline tools and relevant certifications (e.g., Google Professional Data Engineer) are essential. Strong problem-solving abilities, collaboration, and effective communication are vital soft skills for delivering scalable solutions and working with cross-functional teams. These skills ensure the efficient design, implementation, and management of robust cloud data systems that drive business insights and operational success.

What is a Sr GCP Data Engineer?

A Sr GCP Data Engineer is a senior-level data engineering professional who specializes in designing, building, and managing data solutions on the Google Cloud Platform (GCP). They are responsible for creating scalable data pipelines, integrating various data sources, and optimizing data storage and processing using GCP services such as BigQuery, Dataflow, and Dataproc. Senior GCP Data Engineers often lead projects, mentor junior team members, and ensure that data architectures support business analytics, machine learning, and other data-driven needs.

What are some typical challenges Sr GCP Data Engineers face when scaling data pipelines in a cloud environment?

Sr GCP Data Engineers often encounter challenges related to optimizing data pipeline performance and managing costs when scaling solutions in the cloud. Handling large volumes of data requires efficient use of resources like BigQuery and Dataflow, which involves tuning jobs for speed and reliability while keeping expenses in check. Additionally, ensuring data security and compliance in a multi-user, distributed environment is crucial. Collaboration with data architects, analysts, and DevOps teams is also essential to align pipeline designs with broader business goals and technical requirements.
What cities are hiring for Sr Gcp Data Engineer jobs? Cities with the most Sr Gcp Data Engineer job openings:
What states have the most Sr Gcp Data Engineer jobs? States with the most job openings for Sr Gcp Data Engineer jobs include:
Infographic showing various Sr 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, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
GCP Data Engineer

$118K - $141K/yr

Contractor

Posted 23 days ago


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