ZipRecruiter

Log In

2

Remote Gcp Data Engineer Jobs (NOW HIRING)

Stord, Inc.

Senior Data Engineer (GCP)

$108K - $147K/yr

Own pipeline and data infrastructure reliability end-to-end - monitoring, alerting, troubleshooting, and root cause analysis - partnering with SRE and Infrastructure on shared GCP resources (compute ...

Stord

Senior Data Engineer (GCP)

$108K - $147K/yr

Own pipeline and data infrastructure reliability end-to-end - monitoring, alerting, troubleshooting, and root cause analysis - partnering with SRE and Infrastructure on shared GCP resources (compute ...

Pavago

Data Engineer

$117K - $140K/yr

Data Engineer Position Type: Full-Time, Remote Working Hours: U.S. client business hours (with ... GCP, or Azure Preferred Experience & Skills • Experience with dbt for data modeling and ...

Arbor

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ... Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our ...

Saviance

Data Architect-GCP

$65.25 - $84/hr

BigR.io is a remote-based technology consulting firm headquartered in Boston, MA, specializing in ... engineers. Responsibilities : • Design with MicroServices in AWS and GCP • Architect the ...

Arbor

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ... Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our ...

Arbor

Data Engineer

Austin, TX · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ... Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our ...

NuView

Data Engineer

$100K - $140K/yr

This role is remote but candidate must reside in the United States. Initial onboarding will be ... Azure (preferred), AWS, or GCP experience * Data Warehouses: Snowflake, BigQuery, Redshift ...

Arbor

Data Engineer

Philadelphia, PA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ... Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our ...

WellSky

Staff Data Engineer

Overland Park, KS · On-site +1

This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ... Experience with Google Cloud Platform (GCP) data services * Experience with multi-tenant SaaS ...

WellSky

Staff Data Engineer

Overland Park, KS · Remote

$2.5K/yr

This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ... Experience with Google Cloud Platform (GCP) data services * Experience with multi-tenant SaaS ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Azure Data Engineer Associate GCP Certified: Professional Google Cloud Certified. AWS Certified ...

Innodata Inc.

Data Engineer

$100K - $120K/yr

We are seeking a Data Engineer to design and build enterprise data warehouses, data lakes, and ... Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub ...

IT America Inc

Cloud Data Engineer

Dallas, TX · Remote

Remote (Needs to travel to client site when required with your own expenses) Duration: Long term ... Big data technologies on AWS/Azure/GCP * Apache Spark/DataBricks framework (Python/Scala)

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or ... AWS, Azure, and GCP Data Lake architecture. * GitHub and GitLab. * Jira, Asana, and Confluence To ...

Ulta Beauty

Sr Data Engineer (Remote)

Bolingbrook, IL · On-site +1

$102K - $140K/yr

Build data engineering solutions on GCP using services such as BigQuery, Dataflow, Cloud Composer/Airflow, GCS, Pub/Sub, APIs, and related cloud services. * Develop and support data ingestion ...

previous page

Showing results 41-60

All Jobsremote JobsRemote Gcp Data Engineer Jobs

Remote Gcp Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Sep 2, 2026, the average yearly pay for remote 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 remote GCP data engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.

How does a remote GCP data engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

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

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

What is the difference between Remote Gcp Data Engineer vs Remote Data Analyst?

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What cities are hiring for Remote Gcp Data Engineer jobs?

Cities with the most Remote 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 Remote Gcp Data Engineer jobs?

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

What job categories do people searching Remote Gcp Data Engineer jobs look for?

The top searched job categories for Remote Gcp Data Engineer jobs are:

Remote Gcp Data Engineer jobs near you
Infographic showing various Remote Gcp Data Engineer job openings in the United States as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Data Engineer (GCP)

Stord, Inc.

Remote

$108K - $147K/yr

Full-time

Re-posted 14 days ago

Stord rating

3.1

Company rating: 3.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Stord is rapidly growing and is on track to double our revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission.
By combining comprehensive commerce-enablement technology with high-volume fulfillment services, Stord provides brands a platform to compete with retail giants. Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. Stord is leveling the playing field for all brands to deliver the best consumer experience at scale.
With Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. Stord's end-to-end commerce solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order.
Hundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order. Stord is headquartered in Atlanta with facilities across the United States, Canada, and Europe. Stord is backed by top-tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures.
Stord runs on data - every pallet moved, every order fulfilled, and every model our AI team ships depends on data that's fast, clean, and easy to find. As our Senior Data Engineer, you'll own that ecosystem: designing, building, and maintaining the pipelines and infrastructure that turn raw operational data into something the whole business can act on. You'll work closely with data scientists, analysts, and software engineers in a cloud-native environment, building for where Stord is headed, not just where it's been.
We move over $10 billion in commerce a year across fulfillment, warehousing, and supply chain software. You'll build the infrastructure that turns that volume into reliable, governed, ML-ready data - including the foundations our agentic AI tooling runs on.
What You'll Own:
  • Design and build scalable data pipelines using GCP services like Cloud Dataflow, Cloud Pub/Sub, Data Stream, Spark, and Cloud Composer, ingesting, processing, and storing large datasets from multiple sources
  • Develop, test, and maintain data models, schemas, and ETL (Extract, Transform, Load) processes using BigQuery, Cloud SQL, Spark, and Data Studio
  • Partner with stakeholders to understand business requirements and translate them into data infrastructure that actually solves the problem
  • Optimize data pipelines for performance, scalability, and cost efficiency, using GCP-native tools such as Dataproc and Bigtable
  • Ensure data quality, integrity, and security by building validation processes and enforcing data governance, access control, and security best practices
  • Automate workflows using Cloud Composer so pipelines run reliably and on schedule, not by accident
  • Own pipeline and data infrastructure reliability end-to-end - monitoring, alerting, troubleshooting, and root cause analysis - partnering with SRE and Infrastructure on shared GCP resources (compute, storage, network) rather than handing reliability off to someone else
  • Prepare, model, and expose data for ML and agentic AI use cases, including the governed data pipelines Stord's AI tooling queries in production
  • Mentor the broader data team as a senior technical voice on pipeline design and data infrastructure standards
  • Stay ahead of GCP's roadmap and emerging best practices, and put what you learn back into the platform

What You'll Bring:
  • 5+ years of data engineering experience, including at least three years in a cloud environment (preferably GCP)
  • Expertise across GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Storage, Cloud Functions, and Cloud SQL
  • Strong SQL, with real experience writing complex queries for data extraction and analysis
  • Hands-on ETL development and workflow orchestration using tools like Apache Airflow
  • Proficiency in Python and/or Spark for data processing and pipeline development
  • Experience with streaming data pipelines (Pub/Sub, Dataflow, or similar) as well as batch processing
  • A solid grasp of data warehousing concepts, large datasets, and query optimization
  • Working knowledge of data governance, security, and compliance in a cloud environment
  • Understanding of ML concepts and data preparation for ML applications, with interest in agentic AI tooling a must
  • Strong analytical, problem-solving, and troubleshooting instincts, with real attention to detail
  • Clear, confident communication and the ability to collaborate across teams

Nice to Haves:
  • Bachelor's degree in computer science or a comparable field, or equivalent experience
  • GCP certification (Professional Data Engineer or Cloud Architect)
  • Experience with ML infrastructure on GCP, such as AI Platform and TensorFlow
  • Familiarity with DevOps/MLOps practices - CI/CD, infrastructure as code (Terraform), and containerization (Kubernetes, Docker) on GCP
  • Experience with other data processing frameworks, such as Apache Spark
  • A background in logistics, supply chain, 3PL, or warehouse/fulfillment technology
  • Experience working on a distributed team

What Stord employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply