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Data Wrangler Jobs (NOW HIRING)

Responsibilities include data wrangling, data analysis, and data exploration. Should be familiar with a variety of Machine Learning algorithms and big data processing frameworks. In addition to ...

Perform hands-on data wrangling, extraction, transformation, loading, validation, integration, and quality-review activities across structured, semi-structured, and related operational datasets.

Data Engineer

Rochester, NY · On-site

$110K - $140K/yr

You have a strong background in data wrangling and are an expert in Databricks or Snowflake , with deep skills in Python , SQL , and AWS . What You'll Do * Design, build, and scale: Create and ...

... data wrangler in Python (e.g., Pandas, Polars) with experience working with relational databases, including SQL, and large-scale distributed systems such as Redshift Proficient in cloud data ...

Perform hands-on data wrangling, extraction, transformation, loading, validation, integration, and quality-review activities across structured, semi-structured, and related operational datasets.

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer intern will support our ...

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer intern will support our ...

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 ...

Experience using SQL for acquiring and transforming real-world data, data cleaning, data collection or other data wrangling challenges Thanks & Regards Praveen Megan Soft, Inc. Direct No: +1(248) 266 ...

Perform foundational data wrangling and preparation across datasets related to Fraud, GFC, and blockchain transactions. * Assist in data reconciliation and validation activities to ensure accuracy ...

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and prepare data for analysis and product use. • Write mission-critical code: Develop clean, optimized ...

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 ...

Senior Data Engineer

New Haven, CT · Hybrid

$106K - $144K/yr

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software ...

Perform foundational data wrangling and preparation across datasets related to Fraud, GFC, and blockchain transactions. Assist in data reconciliation and validation activities to ensure accuracy and ...

Data Scientist

Miami, FL · On-site

$102K - $128K/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 ...

Data Scientist

Miami, FL

$102K - $128K/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 ...

Showing results 21-40

Data Wrangler information

See salary details

$46K

$165K

$243.5K

How much do data wrangler jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data wrangler 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 a data wrangler?

A Data Wrangler is responsible for collecting, cleaning, and organizing raw data from various sources to make it usable for analysis. They preprocess data by handling missing values, formatting inconsistencies, and eliminating errors to ensure accuracy. Data Wranglers work closely with data analysts and data scientists to prepare structured datasets for insights and decision-making. Their role often involves scripting, automation, and utilizing tools like Python, SQL, and data transformation platforms.

What skills and qualifications are needed to be a data wrangler?

To thrive as a Data Wrangler, you need a strong background in data cleaning, transformation, and analysis, usually supported by a degree in computer science, statistics, or a related field. Familiarity with tools like Python, R, SQL, Excel, and data visualization platforms, as well as knowledge of ETL processes, is typically required. Detail orientation, problem-solving skills, and clear communication are vital soft skills for this role. These skills are important for ensuring that raw data is accurately refined and prepared for meaningful analysis by data scientists and business stakeholders.

What challenges do data wranglers face and how do they navigate them?

Data Wranglers often encounter challenges such as inconsistent or incomplete datasets, merging data from multiple sources, and addressing ambiguous data definitions. To navigate these issues, they work closely with data engineers, analysts, and subject matter experts to clarify data requirements and apply robust validation processes. Effective communication and creative problem-solving are key to diagnosing and resolving data quality issues. By mastering a variety of technical tools and adopting meticulous data documentation practices, Data Wranglers play a crucial role in ensuring that downstream analytics are reliable and actionable.

What cities are hiring for Data Wrangler jobs?

Cities with the most Data Wrangler 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 jobs?

States with the most job openings for Data Wrangler jobs include:

Infographic showing various Data Wrangler job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

4P Consulting Inc.

Atlanta, GA • On-site

Contractor

Re-posted 10 days ago


Job description

5-10 Years This role is for someone with advanced data analysis skills and a firm grasp
of the scientific method. Must be proficient in statistics and at least one programming
language (typically R or Python). 
Responsibilities include data wrangling, data analysis, and data exploration. Should be
familiar with a variety of Machine Learning algorithms and big data processing frameworks. In addition to building machine learning and other statistical models, will be  expected to create data visualizations.