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Contract Gcp Data Engineer Jobs (NOW HIRING)

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to Parul Singh at 248-582-6481/parul.singh@stefanini.com We are looking for Data Engineer who will be ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

GCP Data Engineer

$117K - $140K/yr

Data engineer with GCP Location : Remote Skills:- * Experience working in GCP based Big Data deployments (Batch/Real-Time)Leveraging Big Query,Fusion, Dataflow, Dataproc, etc. * Demonstrated mastery ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

Sr GCP Data Engineer

Manhattan, NY · On-site

$117K - $158K/yr

Senior GCP Data Engineer Location: New York, Onsite. USC & GC only Key Responsibilities * Design, build, and optimize end-to-end data pipelines using GCP-native services such as Dataflow, Dataproc ...

GCP Data Engineer

Dallas, TX · On-site

$107K - $129K/yr

As a Data engineer (successfully lead the delivery of projects including end-to-end requirements ... Knowledge on building data pipelines leveraging GCP best methodologies * Strong understanding ...

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first culture and mentor engineers. Skills Required * GCP Skills Preferred * Artificial Intelligence ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

GCP Data Engineer

Dearborn, MI · On-site

$61 - $66/hr

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first culture and mentor engineers. Skills Required * GCP Skills Preferred * Artificial Intelligence ...

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first culture and mentor engineers. Skills Required * GCP Skills Preferred * Artificial Intelligence ...

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first culture and mentor engineers. Skills Required * GCP Skills Preferred * Artificial Intelligence ...

GCP Data Engineer

New York, NY · Remote

$117K - $140K/yr

Design, develop, and optimize scalable data pipelines and ETL/ELT workflows using GCP technologies, Apache Beam, Airflow, Python, and SQL. * Lead technical decision-making, establish engineering best ...

GCP Data Engineer

$117K - $140K/yr

... a GCP Data Engineer • Experience building pipelines • Experience with API Development, pub sub, BigQuery, Cloudrun • Experience with modern programming languages like Java, Python, Ruby, etc ...

Showing results 41-60

Contract Gcp Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 18, 2026, the average yearly pay for contract 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 contract GCP data engineer?

Contract GCP Data Engineers are professionals hired on a temporary or project basis to design, build, and manage data solutions using Google Cloud Platform (GCP) services. They specialize in tasks such as data ingestion, transformation, storage, and analysis using GCP tools like BigQuery, Dataflow, and Cloud Storage. These engineers work with organizations to support cloud-based data initiatives, often collaborating with data scientists, analysts, and other engineering teams. Their contract-based role allows companies to scale up cloud data operations quickly without committing to permanent hires.

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

To thrive as a Contract GCP Data Engineer, you need expertise in data engineering, ETL pipeline development, and proficiency in programming languages like Python or Java, often backed by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, and Pub/Sub, as well as relevant certifications like Google Professional Data Engineer, is typically required. Strong problem-solving skills, effective communication, and the ability to adapt quickly to new environments set top candidates apart. These skills ensure efficient data processing, seamless collaboration, and successful project delivery within dynamic cloud-based infrastructures.

What are some common challenges contract GCP data engineers face when integrating data from multiple sources in cloud environments?

Contract GCP Data Engineers often encounter challenges with data consistency, schema mismatches, and handling large-scale data ingestion from various on-premise and cloud-based sources. Adapting to different data formats and ensuring secure, efficient data transfer are critical, especially when working with new clients or legacy systems. Collaboration with stakeholders, such as data analysts and architects, is key to clarifying requirements and troubleshooting issues quickly. Mastery of GCP tools like Dataflow, BigQuery, and Pub/Sub helps streamline integration, but staying flexible and proactive in communication is essential for success.

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

AspectContract Gcp Data EngineerCloud Data Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Cloud platform certifications (AWS, Azure, GCP)
Work EnvironmentContract roles, project-based, often remoteFull-time or contract, cloud-focused projects
Industry UsageUsed in companies leveraging GCP infrastructureUsed across multiple cloud providers, including GCP
Skills FocusGCP tools (BigQuery, Dataflow, Pub/Sub)Multiple cloud data tools, cloud architecture

The Contract Gcp Data Engineer specializes in GCP-specific data solutions on a contract basis, focusing on GCP tools and certifications. In contrast, a Cloud Data Engineer may work across various cloud platforms, with broader cloud architecture skills. Both roles require cloud data expertise but differ in platform specialization and employment type.

What cities are hiring for Contract Gcp Data Engineer jobs?

Cities with the most Contract 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 Contract Gcp Data Engineer jobs?

States with the most job openings for Contract Gcp Data Engineer jobs include:

Infographic showing various Contract Gcp Data Engineer job openings in the United States as of August 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

GCP Data Engineer

Stefanini

Dearborn, MI • On-site

$105K - $126K/yr

Other

Posted 21 days ago


Job description

Stefanini Group is hiring! Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to Parul Singh at 248-582-6481/parul.singh@stefanini.com We are looking for Data Engineer who will be responsible for designing, developing, testing, and maintaining software applications and products to meet customer needs. They are involved in the entire software development lifecycle, including designing software architecture, writing code, testing for quality, and deploying software to meet customer requirements. Full-stack software engineering roles, in which employees develop all components of software-including the user interface and server side-also fall within this job function. Key Responsibilities Oversee and contribute to the design, development, and implementation of complex, scalable, and resilient data architectures, including data warehouses, data lakes, and streaming platforms. Lead the creation, maintenance, and optimization of advanced ETL/ELT processes and data pipelines to ingest, transform, and deliver large volumes of data from diverse sources. Ensure data integrity, quality, and performance across all data flows. Assess the requirements of the software application or service and determine the most suitable technology stack, integration method, deployment strategy, and related components. Create high-level software architecture designs that outline the overall structure, components, and interfaces of the application. Define and implement software test strategies, guidelines, policies, and processes in line with organizational vision, industry regulations, and market best practices. Continuously improve performance, optimize applications, and implement new technologies to maximize development efficiency. Develop and maintain back-end applications such as APIs and microservices using server-side languages. Required Skills NoSQL, Kubernetes, Kafka, GCP, Cloud Architecture, Data Architecture, Big Data, Cloud Infrastructure, Apache Spark, BigQuery, Apache Hadoop, Java, Docker, Python, Data Management Preferred Skills GitHub, Machine Learning Required Experience 5+ years of progressive experience in data engineering or a related role, with a significant focus on large-scale data systems. Expert proficiency in programming languages such as Python or Scala. Advanced SQL skills for complex querying, data manipulation, and database design. Extensive experience with big data technologies, such as Apache Spark, Hadoop, Kafka, and Flink. Proven experience with cloud platforms, including AWS, Azure, or GCP, and their data services, such as: AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow Strong understanding of data warehousing concepts, data modeling-including dimensional and relational models-and ETL/ELT processes. Experience with version control systems such as Git. Education Required Bachelor's Degree **Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives*** Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers. About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company. #LI-PS11 #LI-ONSITE