2

Remote Gcp Data Engineer Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

Senior Data Architect

Bethesda, MD · On-site +1

$71.75 - $96/hr

Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer). * Experience supporting federal data modernization, digital transformation, or analytics ...

Senior Data Architect

Bethesda, MD · Remote

$68.75 - $92/hr

Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer). * Experience supporting federal data modernization, digital transformation, or analytics ...

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 ...

Remote within USA Employment Type: Contract (W2) Build Data Foundations That Power WorldClass ... GCP environment * Highly Collaborative Environment - Partner with data architects, developers ...

Data Engineer

$117K - $140K/yr

Data Engineer Location: Baton Rouge, LA (Remote) Long Term Contract Project Scope: The Office of ... or GCP), including data onboarding/migration. * 1 year exposure to data lake / medallion ...

$88K - $106K/yr

Working in a fully remote, international environment, you'll collaborate closely with data ... Exposure to cloud platforms such as AWS, Azure, or GCP is a plus. * Knowledge of Docker, Kubernetes ...

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)

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The Data Engineer will play a foundational role in building and maintaining the data infrastructure ... Architect, build, and maintain scalable data pipelines on Google Cloud Platform (GCP), utilizing ...

Data Engineer

Alexandria, VA · Remote

$122K - $147K/yr

Ability to work independently and collaboratively in a remote team environment. Preferred ... Knowledge of cloud-based data solutions (e.g., AWS, Azure, GCP)

Data Engineer

Alexandria, VA · On-site +1

$122K - $147K/yr

Ability to work independently and collaboratively in a remote team environment. Preferred ... Knowledge of cloud-based data solutions (e.g., AWS, Azure, GCP)

Provide guidance on data modeling and warehouse best practices across both GCP and AWS ecosystems ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107K - $129K/yr

Palantir Foundry Engineer #0910 Perrysburg, OH 43551 / Hybrid-Remote Long-term ***PLEASE DO NOT ... Apply best practices in cloud platforms (AWS/GCP/Azure), containerization (Kubernetes), and CI/CD ...

next page

Showing results 1-20

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 Jun 7, 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 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.

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 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 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.
More about Remote Gcp Data Engineer jobs
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:
Infographic showing various Remote Gcp Data Engineer job openings in the United States as of May 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$100K - $140K/yr

Full-time

Posted 13 days ago


Job description

About NuView Analytics
At NuView Analytics, we help companies accelerate the time to insights from their data. We do this in three ways: data analytics, data diligence, and fractional data science. Our clients are growth-stage companies looking to drive additional value from the data they are sitting on. Through our values of humility, intellectual rigor, and stewardship, we help companies gain a new perspective on their business through their data.
The Role
We're looking for a Data Engineer to join our growing team and help clients build scalable, reliable data infrastructure. This role is remote but candidate must reside in the United States. Initial onboarding will be onsite. You'll work across the modern data stack, designing pipelines, architecting warehouses, and enabling the analytical layer that our clients depend on. This is a high-impact, client-facing role that combines deep technical execution with strategic thinking.
Responsibilities
  • Design, build, and maintain scalable data pipelines for clients across industries
  • Architect and optimize cloud data warehouse solutions, adapting to each client's stack, which may include Snowflake, BigQuery, Redshift, Microsoft Fabric, or similar platforms
  • Lead data integration projects from source system to analytical layer, including scoping, delivery, and handoff
  • Work fluidly across a range of modern data tools and platforms as client engagements demand, picking up new technologies quickly and applying best practices regardless of the toolset
  • Collaborate with analysts and data scientists to ensure data is clean, reliable, and well-modeled
  • Champion data quality, testing, and observability best practices across client engagements
  • Produce and maintain clear technical documentation including pipeline architecture, data dictionaries, lineage maps, and runbooks so clients can understand and own their infrastructure long-term
  • Document engineering decisions, standards, and workflows in a way that supports knowledge transfer to both clients and junior team members
  • Research and evaluate new technologies and advocate for tooling investments that benefit the firm
  • Train and mentor junior team members on engineering standards, pipeline design, and best practices
  • Participate in client-facing communication, including requirements gathering and progress updates
  • Flex support when capacity allows: contribute to analyst-side deliverables such as Power BI dashboard development, ad-hoc reporting, or data visualization. We're a lean team and value versatility
Projects Include
  • ETL/ELT pipeline development and optimization
  • Data warehouse modeling (dimensional, medallion/lakehouse architectures)
  • Data integration across client systems such as CRM, ERP, marketing, and operational systems
  • Infrastructure setup across the modern data stack (ingestion, transformation, orchestration)
  • Implementations across platforms such as Microsoft Fabric, Databricks, and Snowflake, meeting clients where they are
  • Data modeling and deployment across medallion architecture layers (bronze, silver, gold)
  • Data quality frameworks and automated pipeline testing
  • Cloud infrastructure provisioning and cost optimization (Azure, AWS, GCP)
  • Technical documentation projects including data dictionaries, ER diagrams, lineage documentation, and metrics catalogs
  • Power BI semantic model development and dashboard support when business needs require it
Qualifications
  • Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field
  • 2-5 years of relevant data engineering or software engineering experience
  • SQL Expert: complex query authoring, query optimization, stored procedures
  • Python Required: pipeline scripting, automation, data processing
  • Transformation Tools: dbt required; Spark experience a plus
  • Ingestion Tools: Fivetran, Airbyte, Rivery, Microsoft Fabric Data Factory, or similar
  • Orchestration: Airflow, Prefect, Azure Data Factory, Microsoft Fabric, or equivalent
  • Cloud Platforms: Azure (preferred), AWS, or GCP experience
  • Data Warehouses: Snowflake, BigQuery, Redshift, Microsoft Fabric, Azure Synapse, or equivalent
  • Version Control: Git required; branching strategies, pull requests, and code review workflows
  • Strong communication skills with the ability to translate technical concepts for non-technical stakeholders
  • Self-starter who thrives in a remote environment and can manage multiple client workstreams
  • Player-coach mindset: capable of leading projects while growing junior teammates
  • For certain client projects, there may be a need to be in person or for limited travel to client offices.
  • Intellectually curious about evolving data tooling, architecture patterns, and AI-augmented engineering

NuView Analytics is an equal opportunity employer. We celebrate diverse perspectives and are committed to building an inclusive team.