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Remote Gcp Data Engineer Jobs in Nevada (NOW HIRING)

P3 Health Partners

Data Engineer

Henderson, NV · On-site +1

$135K - $165K/yr

The Data Engineer is a hands-on technical contributor accountable for the design, development ... Work Location & Schedule This role offers either a hybrid or fully remote work arrangement.

New

IQVIA

Senior Data Team Lead (Remote)

Las Vegas, NV · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Strong understanding of GCP, ICH, and clinical research processes. * Excellent communication and ...

OPENLANE

Software Engineer

Reno, NV · On-site +1

$90K - $105K/yr

We're a data company helping customers buy and sell smarter with clear, actionable insights they ... We are seeking to bring on talented software developers interested in remote work opportunities. We ...

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Remote Gcp Data Engineer information

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.
What are the most commonly searched types of Gcp Data Engineer jobs in Nevada? The most popular types of Gcp Data Engineer jobs in Nevada are:
What are popular job titles related to Remote Gcp Data Engineer jobs in Nevada? For Remote Gcp Data Engineer jobs in Nevada, the most frequently searched job titles are:
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What cities in Nevada are hiring for Remote Gcp Data Engineer jobs? Cities in Nevada with the most Remote Gcp Data Engineer job openings:
Remote Gcp Data Engineer jobs near you

Data Engineer

P3 Health Partners

Henderson, NV • On-site, Remote

$135K - $165K/yr

Full-time

Posted 3 days ago

New

P3 Health Partners rating

6.6

Company rating: 6.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

People. Passion. Purpose.
At P3 Health Partners, our promise is to guide our communities to better health, unburden clinicians, align incentives and engage patients.
We are a physician-led organization relentless in our mission to overcome all obstacles by positively disrupting the business of health care, transforming it from sickness care into wellness guidance.
We are looking for a Data Engineer. If you are passionate about your work; eager to have fun; and motivated to be part of a fast-growing organization in Las Vegas, Nevada, then you should consider joining our team
Data Engineer
Overall Purpose:
The Data Engineer is a hands-on technical contributor accountable for the design, development, reliability, and continuous improvement of the organization's data engineering platforms and processes. This role combines deep technical execution with cross-functional collaboration, ensuring data pipelines, databases, and infrastructure are scalable, trusted, and aligned to business priorities. The Data Engineer upholds engineering standards, drives innovation within their domain, and takes ownership of data availability, quality, and performance across assigned systems and workflows.
Essential Functions:
  • Design, build, and operate data pipelines and databases that support analytics and reporting.
  • Contribute directly to development while adhering to engineering standards and best practices.
  • Develop and monitor data quality, availability, and performance across assigned data platforms and workflows.
  • Continuously evaluate and recommend improvements to data engineering architecture, tools, and processes.

Knowledge, Skills and Abilities:
  • Strong knowledge of database technologies, data modeling techniques, and performance optimization, with hands-on proficiency in SQL for querying, transforming, and managing data across relational and analytical systems.
  • Deep understanding of data engineering concepts, including data ingestion, transformation, orchestration, data modeling, and storage across modern data platforms, with practical experience building and maintaining ELT/ETL pipelines and data warehousing solutions.
  • Proficiency in Python for data engineering tasks, including pipeline development, automation, and data transformation workflows.
  • Experience working within cloud environments such as Microsoft Fabric, Azure or equivalent platforms, including deploying and maintaining data infrastructure and services.
  • Experience following and contributing to engineering best practices, including version control, testing, CI/CD, and documentation.
  • Working knowledge of data governance, security, and privacy principles as they apply to data engineering workflows and pipelines.
  • High degree of ownership, accountability, and operational discipline in managing and delivering data engineering work.

Experience
  • 4+ years of progressive experience in data engineering, analytics engineering, or related technical roles.
  • 4+ years of hands-on experience with SQL for data engineering, data modeling, transformation, and analytical workloads; Python experience a plus.
  • 3+ years of hands-on experience in data modeling, ELT/ETL pipeline development, data warehousing, and data management, including Azure Data Factory for pipeline orchestration and data movement.
  • 3+ years of cloud environment experience such as Azure - experience in Microsoft Fabric is a plus.
  • Demonstrated experience contributing as a hands-on technical team member on data platform projects, including pipeline development, architecture participation, and code reviews.
  • Experience following and contributing to data quality, monitoring, and reliability processes.
  • Experience partnering with business, analytics, and product stakeholders to translate requirements into technical solutions.

Education
  • Bachelor's in Computer Science or a related field, or equivalent experience. Master's degree a plus.

Work Location & Schedule
This role offers either a hybrid or fully remote work arrangement. Candidates within a 50-mile radius of a company office will follow our hybrid schedule, working on-site three days per week. Candidates located outside this radius will work remotely, with occasional travel to offices for meetings or key events.
Pay range: $135,000-165,000 depending on experience
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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