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Data Wrangler Jobs (NOW HIRING)

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 ...

Data Engineer

Frisco, TX · On-site

$107K - $129K/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 ...

New

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 ...

New

Data Engineer

Irvine, CA · On-site

$121K - $145K/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 ...

New

Data Engineer

Frisco, TX · On-site

$107K - $129K/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 ...

New

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 ...

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 ...

New

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 ...

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 ...

Wrangler Promise Specialist

Odessa, TX · On-site

$42K - $45K/yr

Position Details Position Information Working Title Wrangler Promise Specialist Position Status ... Support pledge tracking, student data management, and timely reporting. * Support cohort ...

Data Engineer

Irvine, CA · On-site

$121K - $145K/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 ...

New

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Data Wrangler information

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$46K

$165K

$243.5K

How much do data wrangler jobs pay per year?

As of Jun 10, 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 are some typical challenges faced by Data Wranglers, 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 is a Data Wrangler job?

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 are the key skills and qualifications needed to thrive in the Data Wrangler position, and why are they important?

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 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 June 2026, with employment types broken down into 100% As Needed. Highlights an 91% Physical, 5% Hybrid, and 4% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Science Practitioner

Data Science Practitioner

Accenture Federal Services

Annapolis Junction, MD • On-site

Full-time

Posted 11 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

45th of 426 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to enhancing the capabilities of the US federal government through innovative technology solutions. The Data Science Practitioner role involves developing data-driven solutions, conducting statistical analyses, and designing machine learning models to support informed decision-making across various federal sectors.
Responsibilities:
• Develop and implement data-driven solutions using programming languages such as Python and R
• Conduct statistical analyses, including regression, hypothesis testing, and distribution analysis, to interpret data accurately
• Design and train machine learning models using frameworks like TensorFlow and Scikit-Learn for predictive analytics and automation
• Perform data wrangling to clean and organize raw datasets, making them ready for meaningful analysis
• Collaborate with cross-functional teams to understand business needs and deliver actionable insights
Qualifications:
Required:
• Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)
• 4 years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree
• A PhD from an accredited college or university in a quantitative discipline can be substituted for four 4 years of experience
• 14 years of experience in software engineering in similar programs and contracts
• 5 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB
• Must have an active TS/SCI with polygraph level clearance
Preferred:
• Familiarity with libraries like NumPy, pandas, and advanced visualization tools
• Experience analyzing datasets and developing analytics
• Experience in creating impactful data visualizations and reports for stakeholders
• Ability to work independently and in a collaborative team environment
• Strong foundation in statistics and probability, including regression analysis and hypothesis testing
• Hands-on experience with machine learning frameworks such as TensorFlow and Scikit-Learn
• Expertise in data wrangling to prepare raw data for analysis
• Excellent problem-solving and analytical skills
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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