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Data Wrangling Jobs (NOW HIRING)

SRP Systems Inc

Senior Data Scientist

Princeton, NJ · On-site

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 ...

Vanguard Group

Data Scientist, Specialist

Charlotte, NC · On-site

Experience with data wrangling required - Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods ...

TripleTen

$40 - $150/hr

Statistical Data Analysis, Data Wrangling, The Basics of Python for Data Analysis, Soft Skills for Data Analysts, and adjacent analytics topics. A strong candidate doesn't just know their stack ...

Vangard, Inc.

Data Scientist, Specialist

Malvern, PA · On-site

Experience with data wrangling required - Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods ...

subway

Data Scientist

Miami, FL

$102.70K - $128.40K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

subway

Data Scientist

Miami, FL

$102.70K - $128.40K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Vangard, Inc.

Data Scientist, Specialist

Dallas, TX

Experience with data wrangling required - Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods ...

subway

Data Scientist

Miami, FL

$102.70K - $128.40K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

subway

Data Scientist

Miami, FL

$102.70K - $128.40K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

subway

Data Scientist

Miami, FL

$102.70K - $128.40K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

subway

Data Scientist

Miami, FL

$102.70K - $128.40K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Mom's Meals

Principal Data Analyst

Ankeny, IA · Remote

Develop Python scripts for automation, data wrangling, and integration with Databricks and Azure services * Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse ...

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Data Wrangling information

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$44.5K

$129.7K

$177.5K

How much do data wrangling jobs pay per year?

As of May 29, 2026, the average yearly pay for data wrangling in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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 analytical skills, proficiency in data cleaning and transformation, and a background in statistics or computer science. Expertise in tools such as Python, R, SQL, and data processing libraries, as well as familiarity with ETL processes, is typically required. Attention to detail, problem-solving abilities, and effective communication help ensure data accuracy and facilitate collaboration across teams. These skills are crucial for preparing reliable datasets that support accurate analysis and informed decision-making within organizations.

What are some common challenges faced by data wranglers in preparing datasets for analysis?

Data wranglers often encounter challenges such as dealing with incomplete, inconsistent, or messy datasets, which can require significant cleaning and transformation work. Identifying and correcting errors, managing missing values, and ensuring data from different sources can be integrated smoothly are frequent tasks. Additionally, data wranglers must maintain data integrity and document their processes to facilitate collaboration with analysts, data scientists, and other stakeholders. Overcoming these challenges requires attention to detail, strong problem-solving skills, and effective communication within the team.

What is data wrangling?

Data wrangling, also known as data munging, is the process of cleaning, transforming, and organizing raw data into a usable format for analysis. This involves identifying and correcting errors, handling missing values, and restructuring data sets to meet the needs of data analysis or machine learning. Data wrangling is a crucial step in the data pipeline, as quality and well-structured data are essential for accurate insights and decision-making. The process can be performed manually or automated using specialized software and programming languages like Python or R.

What is the difference between Data Wrangling vs Data Analysis?

AspectData WranglingData Analysis
Primary FocusCleaning, transforming, and preparing raw dataInterpreting data to extract insights
Skills NeededData cleaning, scripting, database skillsStatistical analysis, visualization, interpretation
Tools Commonly UsedPython, R, SQL, ExcelExcel, Tableau, R, Python
Work EnvironmentData engineering teams, data warehousesBusiness intelligence, research teams

While data wrangling involves preparing raw data for analysis by cleaning and transforming it, data analysis focuses on interpreting that data to generate insights. Both roles often overlap but serve different stages in the data pipeline, with data wrangling being a foundational step for effective data analysis.

More about Data Wrangling jobs
What cities are hiring for Data Wrangling jobs? Cities with the most Data Wrangling job openings:
What states have the most Data Wrangling jobs? States with the most job openings for Data Wrangling jobs include:
What job categories do people searching Data Wrangling jobs look for? The top searched job categories for Data Wrangling jobs are:
Data Wrangling jobs near you
Infographic showing various Data Wrangling job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Temporary. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Data Scientist

SRP Systems Inc

Princeton, NJ • On-site

Full-time

Posted 15 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.

Additional Information

This is a Full time project

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