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Remote Data Jobs in Reno, NV (NOW HIRING)

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Geophysical Data Technician

Reno, NV · Remote

$250 - $300/day

The role involves frequent travel to remote sites and requires adaptability to on-demand travel while maintaining strict safety and data quality standards. Responsibilities * Operate gravity meters ...

AI Data Architect

Carson City, NV · On-site +1

$83.20K - $178.80K/yr

However, the remote location must within the US. How you'll spend your time: * Define and implement enterprise-wide AI data architecture strategies to enable secure, scalable, and compliant AI/ML ...

Works with complex datasets to perform exploratory data analysis to provide insights to make ... REMOTE DETAILS: You will work remotely, full-time. It will require a dedicated, quiet, private ...

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Data Analyst

Carson City, NV · On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise ... Professional remote office environment. * Must be physically and mentally able to perform duties ...

Data Center Construction Manager

Reno, NV · On-site +1

$120.60K/yr

Data Center Construction Manager As a Data Center Construction Manager, you lead day-to-day ... Flexibility & Remote Opportunities Whether in-office, hybrid, or fully remote, we offer the ...

Data Center Construction Manager

Sparks, NV · On-site +1

$121.50K/yr

Data Center Construction Manager As a Data Center Construction Manager, you lead day-to-day ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

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Remote Data information

See Reno, NV salary details

$45.9K

$164.5K

$242.8K

How much do remote data jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data in Reno, NV is $164,534.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,100.00 and $169,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

What are the most commonly searched types of Data jobs in Reno, NV? The most popular types of Data jobs in Reno, NV are:
What cities near Reno, NV are hiring for Remote Data jobs? Cities near Reno, NV with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Reno, NV as of May 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 45% Physical, 5% Hybrid, and 50% Remote job distribution, with an average salary of $164,534 per year, or $79.1 per hour.

Data Engineer - Reno, NV (Remote or Hybrid)

Mercury Group Staffing

Reno, NV • On-site, Remote

$58.83 - $82.37/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Data Engineer - Reno, NV (Remote or Hybrid)

Job Title: Data Engineer Location: Reno, NV (Remote or Hybrid) Salary Range: $58.83-$82.37 per hour

Primary Responsibilities:

  • Experience with AWS infrastructure including AWS Connect and AWS Lambda.
  • Manage and optimize the movement and validation of data from an Epic EMR system to SQL databases in AWS or Azure and either from or to the Salesforce platform.
  • Accountable for data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance.
  • Oversee the development of novel data pipelines that integrate and normalize large data from a variety of sources to enable learning health, machine learning model development, and deployment.
  • Design, direct, and implement ETL processes, including data capture, data quality, testing, and validation methods.
  • Layer in instrumentation in the development process so that data pipelines can be monitored.
  • Build processes and diagnostic tools to troubleshoot, maintain, and optimize engineering environments and respond to production issues.
  • Provide subject matter expertise and hands-on delivery of data capture, curation, and consumption pipelines for AWS.
  • Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform.
  • Develop documentation, such as data dictionaries, guides, or data flow diagrams that assist staff in identifying, locating, and using the organizations data.

Incumbent Must Possess:

  • Minimum of 3 years of SQL programming experience and associated SQL tools (SSIS, SSMS, SSRS, etc.).
  • Experience with Visual Studio is preferred.
  • At least 3 years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions.
  • Minimum of 3 years of RDBMS experience.
  • Extensive hands-on experience implementing data migration and data processing using Amazon Web Services. Includes knowledge of Amazon Connect and Amazon Lambda.
  • Knowledge of medical terminology, especially ICD-10 codes, CPT codes, DRG codes, and an understanding of adjudicated claims data.
  • Excellent verbal and written communication skills.

Minimum Qualifications:

  • Education: Masters degree with 10 years experience preferred; Bachelors degree with 13 years of equivalent experience will be considered in place of masters degree requirement.
  • Experience: Requires a minimum of 10 years experience with at least five (5) years working in data management, data engineering, or data architecture. Enterprise Data Warehouse development preferred; Requires at least five (5) years working with healthcare data; more is preferred. SQL proficiency is required.
  • License(s): None
  • Certification(s): Certification work related to Epic or Amazon Cloud may be required within 1 year of starting employment.
  • Computer / Typing: Must be proficient with Microsoft Office Suite, including Outlook, PowerPoint, Excel, and Word and can use the computer to complete online learning requirements for job-specific competencies, access online forms and policies, complete online benefits enrollment, etc.

This role offers a unique opportunity to work on cutting-edge data engineering projects in the healthcare industry. If you meet the qualifications and are excited about the potential of this role, we encourage you to apply.