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Data Wrangler From Home Jobs (NOW HIRING)

This role is central to maintaining the data flow from the production stages to the VFX team. You ... Coordinate with other VFX data wranglers, editorial, and camera departments to ensure all data is ...

Donor Data Wrangler

$117K - $140K/yr

Immediate consideration for those that have experience wrangling data in Every Action, Act Blue ... We are a fully remote team and welcome applicants for this work from any location for hourly ...

This role is central to maintaining the data flow from the production stages to the VFX team.You ... Coordinate with other VFX data wranglers, editorial, and camera departments to ensure all data is ...

$15.75 - $21/hr

Data Entry Work From Home Troy, Alabama, United States Job Openings Data Entry Work From Home Important: After applying check your inbox or spam folder for next steps. A Data Entry Clerk, is ...

$109K - $130K/yr

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 ...

Data Entry - Work From Home

$17.50 - $23.25/hr

About the job Data Entry - Work From Home Data Entry - Work From Home Location Tampa, FL, USA Work Type Part Time Classification Human Resource Clerks Required Skills Strong people skills Excellent ...

About the job Data Entry - Work From Home * Immediate start Inner Dallas, TX, location (work from home available) 3-month rolling contract Part of a GREAT forward thinking team, creative and ...

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 ... A "Learn-from-it" Culture: We're moving fast and building new things. We believe mistakes are ...

Hybrid work schedule: 3 days in the office, 2 days working from home Visa sponsorship is not ... Data Wrangling: Experience with SQL for data extraction, manipulation, and join logic. * Marketing ...

$15.75 - $21/hr

Data Entry Work - Remote ( Wfh ) Miramar, FL, United States Job Openings Data Entry Work - Remote ( Wfh ) A Data Entry Clerk, is responsible for inputting data and making changes to existing data ...

Hybrid work schedule: 3 days in the office, 2 days working from home Visa sponsorship is not ... Data Wrangling: Experience with SQL for data extraction, manipulation, and join logic. * Marketing ...

Data Entry - Work From Home

$17.50 - $23.25/hr

About the job Data Entry - Work From Home Location New York, NY, USA Work Type Part Time Classification Human Resource Clerks Required Skills Strong people skills Excellent phone manner Be passionate ...

Data Entry - Work From Home

$17.50 - $23.25/hr

About the job Data Entry - Work From Home Location Tampa, FL, USA Please apply to: jobs@interestgroupjobs.com Work Type Part Time Classification Human Resource Clerks Required Skills Strong people ...

Hybrid work schedule: 3 days in the office, 2 days working from home Visa sponsorship is not ... Data Wrangling: Experience with SQL for data extraction, manipulation, and join logic. * Marketing ...

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 ...

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Data Wrangler From Home information

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$46K

$165K

$243.5K

How much do data wrangler from home jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data wrangler from home 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 job description?

A data wrangler is responsible for collecting, cleaning, organizing, and maintaining large datasets to ensure data quality and usability. The role often involves using tools like Excel, SQL, or data management software and requires strong attention to detail and problem-solving skills. Data wranglers support data analysis and reporting by preparing data for accurate insights.

Are work from home data entry jobs legit?

Work from home data entry jobs can be legitimate opportunities, but they often vary in reliability. Genuine positions typically do not require large upfront fees and may involve tasks like inputting information into spreadsheets or databases using basic computer skills. Job seekers should research companies thoroughly and be cautious of scams that promise high pay for minimal work.

What is the difference between Data Wrangler From Home vs Data Analyst?

AspectData Wrangler From HomeData Analyst
Required CredentialsBasic data handling skills, often with certifications in data management or related toolsDegree in statistics, mathematics, or related field; often with certifications in data analysis or visualization
Work EnvironmentRemote, flexible hours, primarily using cloud-based toolsRemote or on-site, with focus on data interpretation and reporting
Employer & Industry UsageTech companies, data service providers, remote data management firmsBusiness, finance, healthcare, and tech industries requiring data insights

While both roles involve working with data, Data Wrangler From Home focuses on cleaning and organizing raw data, often remotely, whereas Data Analyst emphasizes analyzing data to generate insights and reports. Understanding these differences helps job seekers target the right roles based on skills and career goals.

How can I make 2000 a week working from home?

A Data Wrangler from Home can potentially earn $2,000 weekly by taking on multiple freelance or contract data cleaning projects, especially if they have strong skills in data management tools like Excel, SQL, or Python. Building a reputation through platforms like Upwork or Fiverr and maintaining a consistent workload are key to reaching this income level, often requiring several hours of work per week or multiple clients.

What jobs pay 4000 a week without a degree?

Data Wrangler from Home roles typically do not pay $4,000 weekly without specialized skills or experience. High-paying remote jobs that can reach this level often involve sales, consulting, or freelance work where income depends on performance, clients, or project scope rather than formal education. Building skills in data management, analytics tools, or digital marketing can increase earning potential in remote roles, but reaching $4,000 weekly usually requires significant experience or a strong client base.
What cities are hiring for Data Wrangler From Home jobs? Cities with the most Data Wrangler From Home 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 From Home jobs? States with the most job openings for Data Wrangler From Home jobs include:
Infographic showing various Data Wrangler From Home job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Wrangler

Full-time

Posted 8 days ago


Job description

Position: Data Wrangler
Duration: 12 Months
Location: 123 Main Street, White Plains NY (Westchester County), NY
Work Schedule: Monday through Friday
7.5 hour work day with .5 hour unpaid lunch
Paid for time worked only
Overtime is not permitted unless authorized in advanced.
Project Overview
New York Energy Manager is partnering with a Cloud vendor to implement Energy Management system for our customers (NYEM 2.0 Program). Client will be responsible for data discovery, cleansing and transformation of various data steams to the vendor's canonical format to support data analytics and reporting.
Functions and Responsibilities
• Wrangle data (a.k.a. data engineering) from a wide variety of complex data sets large volumes of data into normalized and enriched data sets.
• Assemble and evaluate data such that new insights, solutions, and visualizations can be derived. This individual will develop a deep understanding of analytical needs in order to enable the Client data assets, big data technologies, keying and linking concepts to analyze Internal and External utility industry data to create insights.
• Perform data discoveries to understand data formats, source systems, file sizes, etc. This will include engaging with internal and external business partners in the discovery process.
• Deliver data acquisition, transformations, normalization, mapping, and loading of data into a
variety of data models.
• Clear understanding of, and the ability to navigate file structures such as CSV files, Excel spreadsheets, relational data bases, SAP business warehouse cubes to locate and extract data.
• Ability to design and architect method of extracting data from its original source to another location (i.e. a data lake) to make that data consumable for a variety of downstream purposes such as applications, visualizations, analytics and other related data science activities.
• Basic understanding of data science and the ability to support a data science team.
• Ability to transforming and map one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics.
• Interact with all levels of people including Data Stewards, Analytics professionals, IT, Sales and Customers, engineers and power plant personnel.
• Interact with Customer Business Technologists in order to satisfy customer needs.
• Assist in the development of ETL migration plans for all Client Internal and External data assets not currently integrated into a Client data lake, including developing a level of subject matter expertise with each new data asset being loaded.
• Lead and execute activities to support all aspects bringing new data sources into Client's data lake environment, Collaborate extensively with Technology to design data ingestion, data models, and automated operational metrics for consistent high quality data loading into Client Data platform.
• Develop strategies, standards, and best practices in the areas of data wrangling, data visualization, and data integration and lead adoption throughout the Client and the New York Canals Corporation.
• Ensure quality, coverage and accuracy of data. Validate data quality content in conjunction with respective data stewards by developing reports and tools to monitor and visualize data.
• Develop and Collaborate extensively with Data, Analytics, and Technology leads to ensure the seamless consumption of insights generated from Client and the New York Canals Corporation emerging big data analytical platform.
Skills:
• Expert level proficiency in SQL.
• Expert level proficiency in Microsoft Excel
• Experience working independently with minimal guidance
• Strong problem solving and troubleshooting skills with experience exercising mature judgment
• Proficiency in multiple programming languages
• Comfortable working with open-source technologies
• Agile Methodologies, Scrum, XP, particularly with more than one team within an organization
• Iterative project delivery, Scrum experience
• Experience in multiple roles of an Agile team
• Experience of coaching teams
• Experience in workshop facilitation
• Experience in software process improvements
• Knowledge of other Agile methodologies, such as Crystal, DSDM Atern, RUP, is a plus
• Experience in evangelizing Agile, is a plus
• Ability to work directly with highly experienced user community.
• Must have effective collaboration skills
• Exceptional ability to clearly and effectively communicate with IT peers and users at all levels of technical and business acumen.
• Strong time management skills and multi-tasking capabilities
• Ability to understand business rules governing financial and budgeting process
• An understanding of technical concepts, principles and terminology
• Exceptional oral and written communication skills
• Self-motivated, ability to set priorities and meet deadlines
• Ability to handle multiple tasks/assignments/projects simultaneously.
• Strong attention to detail
• Ability to clearly and correctly state and summarize technical information
• Ability to present finds to both technical and non- technical audiences.
• Experience with ETL and/or other Big Data processes.
Education and Certifications:
BA in Computer Science.