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Data Wrangler Remote Jobs (NOW HIRING)

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

... go-to data wranglers. We develop new tools, code, and services to execute data engineering ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

Data Engineer with Security Clearance

Chantilly, VA · On-site +1

$118K - $142K/yr

... go-to data wranglers. We develop new tools, code, and services to execute data engineering ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

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Data Wrangler Remote information

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$46K

$165K

$243.5K

How much do data wrangler remote jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data wrangler remote in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Wrangler (Remote), you need a strong background in data analysis, data cleaning, and proficiency with programming languages like Python or R, often supported by a degree in computer science, statistics, or a related field. Experience with data management tools such as SQL databases, data visualization platforms, and familiarity with cloud-based systems is typically required. Excellent problem-solving, attention to detail, and effective remote communication skills help professionals excel in this role. These skills ensure that data is accurate, well-organized, and easily accessible for decision-making and analysis in distributed work environments.

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

AspectData Wrangler RemoteData Analyst
Required CredentialsBasic data handling skills, often no formal degree requiredBachelor's degree in related field, some roles prefer certifications
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, regular business hours
Industry UsageData preparation, cleaning, and formatting in various industriesData interpretation, reporting, and insights in multiple sectors
Common Search/ComparisonOften compared for entry-level data rolesMore analytical, reporting-focused roles

While both roles involve working with data, Data Wrangler Remote primarily focuses on cleaning and preparing data for analysis, often in a remote setting. Data Analysts interpret data to generate insights and reports. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

What are some common challenges faced by remote Data Wranglers, and how can they be addressed?

Remote Data Wranglers often encounter challenges such as inconsistent data formats, missing information, and coordinating with distributed teams across different time zones. To address these issues, it's important to establish clear communication channels, utilize collaborative data platforms, and follow standardized data cleaning protocols. Regular check-ins with team members and thorough documentation of data processes can also help ensure data integrity and smooth collaboration, even when working remotely.

What are Data Wranglers?

Data Wranglers are professionals who specialize in cleaning, organizing, and transforming raw data into a format that is usable for analysis or further processing. They handle tasks such as identifying inconsistencies, dealing with missing values, and converting data from various sources into a standardized format. In remote roles, Data Wranglers use digital tools and platforms to access, process, and manage data from anywhere, collaborating virtually with teams. Their work is crucial for ensuring that data scientists and analysts have reliable, high-quality data for decision-making and insights.
More about Data Wrangler Remote jobs
What cities are hiring for Data Wrangler Remote jobs? Cities with the most Data Wrangler Remote job openings:
What are the most commonly searched types of Data Wrangler jobs? The most popular types of Data Wrangler jobs are:
What states have the most Data Wrangler Remote jobs? States with the most job openings for Data Wrangler Remote jobs include:
Infographic showing various Data Wrangler Remote job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Subject Matter Expert - Data Science

Subject Matter Expert - Data Science

Excelsior College

Remote

Part-time

Posted 26 days ago


Job description

Excelsior University is recruiting Subject Matter Experts (SME) on a contractual basis to support individual course development. The SME will have advanced knowledge and expertise in computer science and Data Science. Courses to be developed or revised may include: (1) Ethical Data Wrangling and Processing, (2) Predictive Analytics and Time Series Forecasting, (3) Predictive Analytics and Time Series Forecasting, (4) Big Data Analytics, (5) Foundations of Data Science. 
Reporting to the Department Chair, the SME plays a key role in the design and revision of course content. The SME works closely with the Department Chair, Learning Experience Designer, and other staff across the University during the course development process. The course development process lasts about 20-weeks/4.5 months, unless it is an expedited development. This timeline does not include the Excelsior onboarding and compliance training. 

Duties and Responsibilities: 

  • Update an existing course or design a new course based on area need, including program content and materials and/or delivery methods, and based on foundational knowledge, emerging practices, changes in the discipline, etc.
  • Align course development with course and program learning outcomes. Thematic areas may include:
  • Possess the ability to identify relevant learning resources and content.
  • Create engaging learning activities, assignments, and valid assessments of learning.
  • Ensure that the course curriculum aligns with Excelsior’s justice, equity, diversity, and inclusion (JEDI) principles.
  • Commit to being available throughout an agreed upon course development timeline and able to meet project deadlines.
  • Participate in weekly or bi-weekly course development meetings.
  • Collaborate with the course development team throughout the design process.
  • Use the Excelsior University course shell as the framework for the course.
  • Write lectures, assignments, rubrics, and provide original content in an editable format.

Qualifications:  To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

  • An earned doctorate, or a master's degree and significant professional experience in the field, ideally in the field of computer science, or another field relevant, and a background in Data Science, to supporting the program and its courses.
  • Demonstrated significant industry and/or experience in the field of Data Science.
  • Teaching experience at a two- or four-year degree granting institution in computer science or a related field preferred.
  • Familiarity with the development and implementation of curriculum and/or training computer science.

Remote applicants please be aware that the University is required to withhold New York state income taxes from your wages, as well as the state income tax, if applicable, in the state where you perform services. This is because of New York’s “convenience of the employer” rule, which requires the University, as a New York employer, to withhold New York income tax from the wages of its employees working outside of New York if the employee’s work is performed outside of New York for the convenience of the employee, rather than out of a business necessity of the University.