2

Data Wrangler Full Time Jobs (NOW HIRING)

Senior Data Scientist: someone with 5+ years of full time, work experience as a data scientist solving complex problems. Must be highly experienced with data cleanups, data wrangling, data ...

Senior Data Scientist: someone with 5+ years of full time, work experience as a data scientist solving complex problems. Must be highly experienced with data cleanups, data wrangling, data ...

Wrangler Promise Specialist

Odessa, TX · On-site

$42K - $45K/yr

... Full Time Department Academic Partnerships General Summary The Wrangler Promise Specialist supports ... Support pledge tracking, student data management, and timely reporting. * Support cohort ...

Irving, TX - Fulltime Position Data Scientist with Generative AI Expertise * Programming languages ... Data wrangling & manipulation: SQL, data cleaning, feature engineering * Hyperscale's: AWS, Azure ...

Data Engineer III

Columbia, MD · On-site

$113K - $127K/yr

Job Type Full-time Description About Us: eSimplicity is a modern digital services company that ... Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them ...

Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2-4 years of in-depth and ... wrangling, model development, software development, A/B Testing, Back Testing. • Extremely ...

Madison, WI Full Time (Direct Hire) 5+ Years of total experience and 2-4 years of in-depth and ... Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B ...

About Contract Wrangler Contract Wrangler enables companies to maximize profit and minimize risk ... Our solution enables operating teams across an enterprise to act with real-time, data-driven ...

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and ...

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and ...

next page

Showing results 1-20

Data Wrangler Full Time information

See salary details

$46K

$165K

$243.5K

How much do data wrangler full time jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data wrangler full time 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 is the difference between Data Wrangler Full Time vs Data Analyst?

AspectData Wrangler Full TimeData Analyst
Primary RoleCleaning, transforming, and preparing raw data for analysisInterpreting data, generating reports, and providing insights
Skills RequiredData cleaning, scripting (Python, SQL), data manipulationStatistical analysis, data visualization, reporting tools
Work EnvironmentData engineering teams, data pipelines, ETL processesBusiness teams, analytics departments, decision-making
Common CertificationsSQL, Python, data management certificationsExcel, Tableau, statistical analysis certifications

While Data Wrangler Full Time focuses on data preparation and cleaning, Data Analyst emphasizes analyzing data to generate insights. Both roles often collaborate but serve different stages of the data workflow.

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

To thrive as a Data Wrangler, you need strong skills in data analysis, data cleaning, and manipulation, often supported by a degree in computer science, statistics, or a related field. Proficiency with programming languages like Python or R, data wrangling libraries (such as pandas or dplyr), and experience with databases and ETL tools are typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for translating raw data into actionable insights. These skills ensure that data is accurate, well-organized, and ready for downstream analysis, which is crucial for informed decision-making.

What are Data Wranglers?

Data Wranglers are professionals who specialize in collecting, cleaning, and organizing raw data so it can be easily analyzed and used by data scientists or analysts. Their work involves transforming messy, unstructured, or incomplete datasets into formats that are more usable and reliable for analysis. In a full-time role, Data Wranglers may also automate data pipelines, ensure data quality, and collaborate with other teams to support business intelligence and decision-making processes.

What are some common challenges faced by Data Wranglers in a full-time position, and how are they typically addressed within a team environment?

Data Wranglers often encounter challenges such as dealing with inconsistent data formats, missing values, and integrating data from multiple sources. These issues are typically addressed through close collaboration with data engineers, analysts, and domain experts to clarify data requirements and resolve ambiguities. Teams often use standardized tools and best practices for data cleaning and validation, and regular communication helps ensure that any data quality issues are identified and tackled early in the workflow. Being proactive and detail-oriented, as well as participating in team knowledge sharing, greatly assists in overcoming these common hurdles.
More about Data Wrangler Full Time jobs
What are the most commonly searched types of Data Wrangler jobs? The most popular types of Data Wrangler jobs are:

Senior Data Scientist

SRP Systems Inc

Princeton, NJ • On-site

Full-time

Posted 27 days ago


Job description

Company Description
SRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run
by seasoned alumni from Stanford University and Wharton.
Job Description
Senior Data Scientist: someone with 5+ years of full time, work experience as a
data scientist solving complex problems. Must be highly experienced
with data cleanups, data wrangling, data transformation, feature
engineering, anomaly handling, model development, model tune-ups, metric
development to evaluate the model, ability to handle small data sets,
creative in handling tough data problems and so on. A python background
is desired, but we will also consider a R background. You should be able
to demonstrate your past expertise in handling difficult problems.
Qualifications
Additional Information
This is a Full time project