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Data Wrangler Jobs (NOW HIRING)

Data Scientist

Miami, FL ยท 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 Engineer

Dallas, TX

$113K - $136K/yr

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

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

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

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 ...

Data Scientist

Miami, FL ยท 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 Analytics Project Manager

Plano, TX ยท On-site

$65 - $75/hr

AWS or Azure Data certifications. * 7-8 years of experience in data wrangling, profiling, testing tools. * 7-8 years of experience in some of these technologies: * Power BI and/or Tableau, PowerApps ...

Data Engineer

Dallas, TX

$113K - $136K/yr

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

Data Engineer

Dearborn, MI

$105K - $126K/yr

As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and collaborate with developers, architects, product managers, and feature teams to provide core-platform ...

Data Scientist

Miami, FL ยท 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 wrangling & manipulation: SQL, data cleaning, feature engineering * Hyperscale's: AWS, Azure, or GCP experience a plus * On prem and cloud development projects with CI/CD Experience * Design ...

Project Manager Data Analytics

Plano, TX ยท On-site

$65 - $75/hr

AWS or Azure Data certifications. * 7-8 years of experience in data wrangling, profiling, testing tools. * 7-8 years of experience in some of these technologies: Power BI and/or Tableau, PowerApps ...

Manage large datasets, including performing data integration, data wrangling, and querying large databases. What You Will Need: * An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.

Manage large datasets, including performing data integration, data wrangling, and querying large databases. What You Will Need: * An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.

Big Data Architect

Mclean, VA ยท On-site

$64.50 - $83/hr

... wrangling of heterogeneous data and explore and discover new insights - Analysis, architecture, design, and development of data warehouse and business intelligence solutions - Mentor junior team ...

Manage large datasets, including performing data integration, data wrangling, and querying large databases. What You Will Need: * An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.

Manage large datasets, including performing data integration, data wrangling, and querying large databases. What You Will Need: * An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.

Data Scientist

Miami, FL ยท On-site

$103 - $128/hr

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 41-60

Data Wrangler information

See salary details

$46K

$165K

$243.5K

How much do data wrangler jobs pay per year?

As of Aug 18, 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:

What job categories do people searching Data Wrangler jobs look for?

The top searched job categories for Data Wrangler jobs are:

Infographic showing various Data Wrangler job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

$115K - $138K/yr

Contractor

Re-posted 15 hours ago


Job description

Job Description:
We are looking for a skilled Python Data Engineer with hands-on experience in Azure, PySpark, and Databricks, specifically within the insurance domain. This is a hybrid, long-term contract position requiring a mix of remote and onsite work in either Hartford, CT or Charlotte, NC. The ideal candidate will be responsible for building, optimizing, and maintaining data pipelines and supporting data-driven decision-making across the organization.
Key Responsibilities:
  • Design and develop scalable and robust data pipelines using PySpark and Python.
  • Leverage Azure Data Services (e.g., Azure Data Factory, Azure Data Lake, Azure Synapse) for data integration and transformation.
  • Utilize Databricks for distributed data processing, data wrangling, and advanced analytics.
  • Ensure data quality, integrity, and compliance with data governance and security policies.
  • Collaborate with cross-functional teams, including business analysts, data scientists, and application developers.
  • Participate in performance tuning, troubleshooting, and optimization of data workflows.
  • Translate business requirements into technical specifications, especially within the insurance industry context.
  • Develop and maintain documentation for data pipelines and architecture.