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Remote Startup 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

Generac

Senior Controls Engineer

Las Vegas, NV · On-site +1

$115K - $155K/yr

The Senior Controls Engineer serves as the technical lead for advanced microgrid control system ... Lead onsite and remote startup and commissioning activities, including development and execution of ...

Switch, Inc.

Facilities Chief Engineer

Las Vegas, NV · On-site +1

Location: Las Vegas, NV About Switch At Switch, we dont just design, build and operate data ... Support commissioning, startup, and deployment of new equipment across local and regional campuses.

Switch

Facilities Chief Engineer

Las Vegas, NV · On-site +1

Location: Las Vegas, NV About Switch At Switch, we don't just design, build and operate data ... Support commissioning, startup, and deployment of new equipment across local and regional campuses.

ABB

Data Center COE Project Manager

NV · Remote

$112K/yr

... execution of Startup, Commissioning, and aftermarket service projects within the Data Center ... Remote in the US #LI-Remote This role is contributing to the Electrification Services Business Area ...

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All JobsStartup Data Engineer JobsRemote Startup Data Engineer JobsRemote Startup Data Engineer Jobs in Nevada

Remote Startup Data Engineer information

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

AspectRemote Startup Data EngineerRemote Startup Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilding data pipelines, infrastructureInterpreting data, creating reports
Employer & Industry UsageTech startups, SaaS companiesMarketing agencies, e-commerce startups
Common Search & ComparisonOften compared for technical depth and infrastructure focusCompared for data interpretation and business insights

The main difference between a Remote Startup Data Engineer and a Remote Startup Data Analyst lies in their focus areas. Data Engineers build and maintain data infrastructure, while Data Analysts interpret data to inform business decisions. Both roles are essential in startups but require different skill sets and responsibilities.

What are the most commonly searched types of Startup Data Engineer jobs in Nevada? The most popular types of Startup Data Engineer jobs in Nevada are:
What are popular job titles related to Remote Startup Data Engineer jobs in Nevada? For Remote Startup Data Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Startup Data Engineer jobs in Nevada look for? The top searched job categories for Remote Startup Data Engineer jobs in Nevada are:
What cities in Nevada are hiring for Remote Startup Data Engineer jobs? Cities in Nevada with the most Remote Startup Data Engineer job openings:
Remote Startup Data Engineer jobs near you

Data Engineer

P3 Health Partners

Henderson, NV • On-site, Remote

$135K - $165K/yr

Full-time

Posted 2 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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