2

Data Wrangler Full Time Jobs (NOW HIRING)

Experience with client facing teams providing data wrangling, analytics, visualization, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Experience with client facing teams providing data wrangling, analytics, visualization, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Associate Data Scientist, Marketing

Minneapolis, MN · Hybrid

$61K - $62K/yr

... data wrangling, validating data and solutions, supervised and unsupervised models, AI and ML ... Paid time off (vacation or PTO) is offered to full-time and part-time employees based on work ...

... data wrangling, validating data and solutions, supervised and unsupervised models, AI and ML ... Paid time off (vacation or PTO) is offered to full-time and part-time employees based on work ...

next page

Showing results 1-20

People also search for

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 11, 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 job of a data wrangler?

A data wrangler is responsible for collecting, cleaning, organizing, and preparing raw data for analysis. This role often involves using tools like SQL, Python, or Excel to ensure data quality and consistency, supporting data scientists and analysts in their work.

Is big data a good career?

A career in big data, including roles like Data Wrangler, is considered promising due to the increasing demand for data management and analysis skills across industries. It often requires proficiency in tools like SQL, Python, or Hadoop and offers opportunities for growth in data-driven environments. The field provides stable employment with competitive salaries for qualified professionals.

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 is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, and Machine Learning Engineer tend to be among the highest paying, often earning six-figure salaries or more. These positions typically require advanced skills in statistics, programming, and data management, along with extensive experience and leadership responsibilities.

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.

What does data wrangler mean?

A data wrangler is a professional responsible for collecting, cleaning, and organizing raw data to prepare it for analysis. This role often involves using tools like SQL, Python, or Excel and requires strong attention to detail and data management skills.
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:
Data Scientist, Mid

$77K - $176K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 10 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Data Scientist, Mid

The Opportunity:

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by massive amounts of structured and unstructured data, machine learning, and artificial intelligence? In an increasingly connected world, innovative AI-driven solutions open new opportunities, especially in mission-critical environmentsimpactingnational security.
As a Data Scientist, you will play a pivotal role in bridging advanced AI capabilities with military and operational needs. Working directly with clients, you will empower personnel to uncover operational challenges, design tailored workflows, and deploy modular applications built and othercutting-edgetechnologies.You'llprovide clients with real-time solutions to maximize the value of their technology investments, empowering decision-makers to achieve mission success.
Join us. The worldcan'twait.

You Have:

  • Experience working in mission-critical, high pressure environments such as defense operations, healthcare, or financial services settings
  • Experience with programming languages, including Python, Java, or SQL
  • Experience with data visualization tools such as Tableau or PowerBI
  • Experience with client facing teams providing data wrangling, analytics, visualization, and presentation
  • Ability to design and deploy workflows, ETL pipelines, and machine learning models on platforms such as Databricks, Snowflake, or Palantir Foundry
  • Ability to obtain a Secret clearance
  • HS diploma or GED and 5+ years of experience with Data Analytics, or Bachelor's degree and 3+ years of experience with Data Analytics

Nice If You Have:

  • Experience working as an embedded technical expert for defense, government, or private-sector clients
  • Experience with predictive modeling, advanced analytics, or data fusion for military or operational environments
  • Secret clearance
  • Foundry Data Engineer or Foundry Application Developer Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914