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Data Wrangler Flexible Jobs (NOW HIRING)

Our flexible career paths allow you to grow into a program manager, a technical architect or a ... Technical Skills Skills Requirements: • Proficiency in data wrangling and data cleaning ...

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Flexible and adaptable to learning and understanding new technologies * Highly self-motivated and ... Experience in data cleansing, data validation and data wrangling. * Hands-on experience in AWS ...

Flexible Spending Account * Retirement Programs * Disability Plans * Life Insurance * Accident Plan ... Data Wrangling and Web Scraping, * Data Internships Preparation for Social Impact * Exploring ...

Flexible Spending Account * Retirement Programs * Disability Plans * Life Insurance * Accident Plan ... Data Wrangling and Web Scraping, * Data Internships Preparation for Social Impact * Exploring ...

Cleared Data Scientist

Washington, DC · On-site

$98K - $163K/yr

Utilize tools such as SQL, Python, Power BI, Tableau to wrangle, analyze, and visualize data and ... Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term ...

Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

... go-to data wranglers. We develop new tools, code, and services to execute data engineering ... The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in ...

Cleared Data Scientist

Washington, DC · Hybrid

$98K - $163K/yr

Utilize tools such as SQL, Python, Power BI, Tableau to wrangle, analyze, and visualize data and ... Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term ...

Cleared Data Scientist

Washington, DC · On-site

$98K - $163K/yr

Utilize tools such as SQL, Python, Power BI, Tableau to wrangle, analyze, and visualize data and ... Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term ...

Sr. Data Engineer

Rochester, NY · On-site

$145K - $165K/yr

You have deep expertise in data architecture, data wrangling, Databricks or Snowflake , and are a ... Be a flexible leader: Embrace a "builder" mentality. In a startup, you'll have the flexibility to ...

Data Scientist

Kinston, NC · Hybrid

$117K - $146K/yr

Flexible work hours * Employee Business Networks * * Onsite luncheon spaces with free coffee and a ... wrangling/data munging). * 5+ years of relevant experience is required to be considered for a ...

Data Scientist

Los Angeles, CA · On-site

$100.70 - $125.90/hr

Data Wrangling - assemble data from various sources and formats into a single set suitable for ... Flexible Care Options: Telehealth services for convenient, low-cost access to care * Growth ...

Senior Data Engineer

Beverly, NJ · On-site

$102K - $139K/yr

Design and Develop ETL to extract data from first and third-party data sources, stitch, and wrangle ... You will enjoy competitive wages, flexible hours, and an associate discount. Burlington's benefits ...

Data Scientist

Sterling, VA · On-site

$90 - $120/hr

Proficiency in data wrangling and analysis using Python.* Proficiency with COTS tools such as ... Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts* Short-Term ...

Senior Data Engineer

Edgewater Park, NJ · On-site

$80K - $105K/yr

Design and Develop ETL to extract data from first and third-party data sources, stitch, and wrangle ... You will enjoy competitive wages, flexible hours, and an associate discount. Burlington's benefits ...

Proficiency in data wrangling and analysis using Python. * Proficiency with COTS tools such as ... Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term ...

Proficiency in data wrangling and analysis using Python. * Proficiency with COTS tools such as ... Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term ...

Data & Software Engineer

Mclean, VA · Remote

$115K - $139K/yr

... go-to data wranglers. We develop new tools, code, and services to execute data engineering ... The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in ...

Showing results 21-40

Data Wrangler Flexible information

What is a data wrangler flexible?

Data Wrangler Flexible positions involve collecting, cleaning, organizing, and preparing large sets of data for analysis, often on a flexible or remote basis. Professionals in these roles work with raw data from various sources, ensuring its quality and usability for data scientists and analysts. Flexible data wranglers may work part-time, on contract, or with adjustable hours, making the role ideal for those seeking work-life balance or remote opportunities. Key responsibilities include data transformation, validation, and collaborating with teams to support data-driven decision-making.

What types of data sources and formats will I commonly work with as a data wrangler, and how does this affect my daily workflow?

As a Data Wrangler, you will frequently encounter data from diverse sources such as databases, spreadsheets, APIs, and unstructured files like text or JSON. This variety requires adaptability in handling different formats and cleaning inconsistencies, which can be a significant part of your daily tasks. You’ll regularly collaborate with data engineers and analysts to ensure that the cleaned data meets project requirements and is ready for analysis. Flexibility and strong problem-solving skills are essential, as each data set may present unique challenges that impact your workflow and prioritization.

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 proficiency with programming languages like Python or R, often supported by a degree in computer science, statistics, or a related field. Familiarity with databases (e.g., SQL), data visualization tools, and data integration platforms is typically required. Attention to detail, problem-solving ability, and effective communication help you collaborate and ensure data accuracy. These skills are essential for transforming raw data into usable formats, enabling informed decision-making and supporting business intelligence efforts.

What is the difference between Data Wrangler Flexible vs Data Analyst?

AspectData Wrangler FlexibleData Analyst
Required CredentialsBasic data handling skills, often no formal certification requiredBachelor's degree in data-related fields, certifications like CAP or Microsoft Data Analyst often preferred
Work EnvironmentData preparation, cleaning, and formatting in various industriesAnalyzing data, creating reports, and providing insights
Employer & Industry UsageUsed across tech, finance, healthcare, and marketing sectors for data preprocessingCommonly employed in business intelligence, finance, and consulting firms

While Data Wrangler Flexible focuses on data cleaning and preparation, Data Analyst involves interpreting data and generating insights. Both roles require familiarity with data tools, but Data Analysts typically have more advanced analytical skills and certifications. Understanding these differences helps employers and job seekers align expectations and skills for each position.

What cities are hiring for Data Wrangler Flexible jobs?

Cities with the most Data Wrangler Flexible 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 Flexible jobs?

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

Infographic showing various Data Wrangler Flexible job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

W2 Role - Data Engineer

Kanak Elite Services Inc

Saint Louis, MO • On-site

$111K - $133K/yr

Contractor

Re-posted 29 days ago


Job description

Only W2

Role:                            Data Engineer

Location:                     Hybrid St. Louis, MO and Mt. Sterling, IL

Duration:                     12 Months C2H

MOI:                            Video

Required

  • 3 years Data Engineer
  • 1+ years with Snowflake (Strongly Required 1+ year)
  • 3+ years Python
  • 1+ years Azure (or similar Cloud with AWS, GCP)
  • Mid-level candidate with mid-level year.
  • Bachelor’s degree

Desired

  • IBM Cloud
  • DataStage
  • DB2
  • watsonX.ai
  • Supply Chain

You’re analytical, a big picture thinker, and detail oriented. You’re a problem solver, and you’re able to present technical ideas to the business. You enjoy interacting with people and communicating across teams. If this sounds like you, Dot Foods wants you on our team.

As a Data Engineer, you will design, test, and maintain data pipelines for advanced analytics. You’ll transform complex datasets, ensuring alignment with strategic goals, and collaborate with IT and business experts to deliver crucial insights in adherence to information best practices.

Interview process is still a 30-min Teams call with me, then 1-hour technical call with panel, then 30-min interview with HM.

WHAT YOU’LL DO:

  • Automate data wrangling from a wide variety of sources (flat files, remote servers, databases, legacy systems, message queues, APIs and more).
  • Identify opportunities to improve system and business process efficiencies.
  • Cleanse/transform data in preparation for all levels of analytical use.
  • Leverage many technologies and methodologies as required—includes scripting and programming languages.
  • Assist in the preparation, deployment, and maintenance of machine learning/artificial intelligence data pipelines.
  • Work with vendors and consultants as appropriate.
  • Applies lean thinking and tools to identify and eliminate waste in all areas of the position.

YOU MUST HAVE:

  • Bachelor’s degree in applicable field.
  • 3+ years’ experience in: Applied SQL development, Data warehousing/analytics, and Data engineering/equivalency.
  • 1+ years’ experience with Snowflake.
    • Build and optimize Snowflake data warehouses.
    • Develop and maintain ETL/ELT pipelines in Snowflake.
    • Manage Snowflake security, governance, and performance.
  • Proficient in object-oriented concepts with experience in Python, Java, or C#.
  • Effective interpersonal skills, with positive professional verbal and written skills.

YOU MAY ALSO HAVE:

  • Bachelor’s degree in Business Analytics, Computer Science, Mathematics, Statistics, or related field.
  • Snowflake Data Engineer Certification.
  • Ability to work independently as well as within a team environment.
  • Effective project management and planning skills.

ROLE SPECIFICS:

  • Travel – Occasional overnight travel 1-3 nights per quarter for company meetings. Must have ability to travel independently as needed, without restriction by all modes of transportation, including car, plane, or train.
  • Schedule – ability to work flexible hours; may include evening & weekend hours as needed.