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Data Engineer C2C Remote 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.

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Data Engineer C2C Remote information

What are some common challenges Data Engineers face when working in a fully remote, C2C (Corp-to-Corp) arrangement?

Data Engineers working remotely on a C2C basis often encounter challenges such as aligning with distributed teams across different time zones, ensuring secure data access, and managing communication with multiple stakeholders. Since C2C roles are typically contract-based, there can be less direct oversight and more emphasis on delivering results independently, which requires strong self-management and proactive reporting. Additionally, integrating with existing data infrastructure remotely may involve navigating different security protocols and adapting to each client’s unique tech stack.

What are the key skills and qualifications needed to thrive as a Data Engineer in a remote C2C (Corp-to-Corp) setting, and why are they important?

To thrive as a Data Engineer C2C Remote, you need expertise in data modeling, ETL processes, and proficiency in programming languages like Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure), big data tools (like Hadoop or Spark), and relevant certifications (such as AWS Certified Data Analytics) is highly valued. Strong problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote environment. These skills and qualities are crucial for building scalable data solutions, ensuring data integrity, and delivering results in a distributed team setting.

What are Data Engineer C2C Remote jobs?

Data Engineer C2C Remote jobs refer to contract positions for data engineers that are fulfilled remotely and use a 'Corp-to-Corp' (C2C) arrangement. In C2C, a contractor works through their own corporation or as part of a consulting company rather than as a direct employee or individual contractor (W2 or 1099). Data engineers in these roles are responsible for designing, building, and maintaining data pipelines and infrastructure, usually for clients across different locations. These remote roles offer flexibility in work location and are common in the tech industry, especially for specialized projects.
What are the most commonly searched types of Data Engineer C2C jobs in Nevada? The most popular types of Data Engineer C2C jobs in Nevada are:
What are popular job titles related to Data Engineer C2C Remote jobs in Nevada? For Data Engineer C2C Remote jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Data Engineer C2C Remote jobs in Nevada look for? The top searched job categories for Data Engineer C2C Remote jobs in Nevada are:
What cities in Nevada are hiring for Data Engineer C2C Remote jobs? Cities in Nevada with the most Data Engineer C2C Remote job openings:
Data Engineer C2C Remote jobs near you

Data Engineer

P3 Health Partners

Henderson, NV • On-site, Remote

$135K - $165K/yr

Full-time

Posted 4 days ago

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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