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Data Wrangling Remote Jobs (NOW HIRING)

Senior Data Engineer

Beverly, NJ · On-site +1

$102K - $139K/yr

Design and Develop ETL to extract data from first and third-party data sources, stitch, and wrangle ... Remote Type Hybrid Evergreen No

Data Architect

Hartford, CT · Remote

$64.25 - $82.75/hr

Data Architect Location: Hartford, CT (Remote right now) Duration: 12+Months Mandatory Skills ... Strong experience in data ingestion, gathering, wrangling and cleansing tools such as Apache NiFI ...

Senior Data Analyst

$88K - $111K/yr

Experience with Python or R for statistical analysis, data wrangling, or automation. * Background ... Exposure to data governance and catalog tools (e.g., Alation, dbt, or similar). #LI-VS1 #LI-Remote ...

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Showing results 1-20

Data Wrangling Remote information

See salary details

$44.5K

$129.7K

$177.5K

How much do data wrangling remote jobs pay per year?

As of Jun 4, 2026, the average yearly pay for data wrangling remote in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Wrangler in a remote setting, and why are they important?

To thrive as a Data Wrangler remotely, you need expertise in data cleaning, transformation, and analysis, often supported by a background in computer science, statistics, or a related field. Proficiency with programming languages like Python or R, data manipulation libraries (such as pandas or dplyr), and experience with databases and cloud platforms are typically required. Attention to detail, strong problem-solving abilities, and self-motivation are crucial soft skills for managing complex data tasks independently. These skills ensure accurate, efficient data preparation and support reliable data-driven insights in distributed work environments.

What are some common challenges faced by remote data wrangling professionals, and how can they be overcome?

Remote data wrangling professionals often encounter challenges such as dealing with inconsistent data formats, managing large datasets, and communicating effectively with distributed teams. Overcoming these issues typically involves utilizing version control tools, automating data cleaning processes, and establishing clear documentation for shared datasets. Regular virtual meetings and collaborative platforms also help ensure alignment and smooth workflows across time zones. Staying proactive in communication and leveraging cloud-based tools can greatly enhance productivity and data quality in a remote setting.

What is a Data Wrangling Remote job?

A Data Wrangling Remote job involves cleaning, organizing, and transforming raw data into a usable format, typically from a remote location. Professionals in this role work with large datasets, identifying errors, filling in missing information, and ensuring data consistency so it can be effectively analyzed or used in machine learning models. The remote aspect means all tasks are performed online, offering flexibility to work from anywhere. Data wranglers often use tools like Python, R, or specialized software to automate and streamline the process.

What is the difference between Data Wrangling Remote vs Data Analyst?

AspectData Wrangling RemoteData Analyst
Required skillsData cleaning, scripting, database managementData interpretation, reporting, visualization
Work environmentRemote, often independentRemote or on-site, collaborative
Common toolsSQL, Python, ExcelExcel, Tableau, Power BI
Industry usageData preparation for analysisData interpretation and decision-making

Data Wrangling Remote focuses on cleaning and preparing raw data for analysis, requiring scripting and database skills. Data Analysts interpret and visualize data to support business decisions. While both roles may work remotely and use similar tools, Data Wrangling Remote emphasizes data preparation, whereas Data Analysts focus on analysis and reporting.

Infographic showing various Data Wrangling Remote job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Data Engineer

Senior Data Engineer

Burlington

Beverly, NJ • On-site, Remote

$102K - $139K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Burlington rating

4.4

Company rating: 4.4 out of 10

Based on 909 frontline employees who took The Breakroom Quiz

19th of 21 rated department stores


Job description

Position Overview

Come join our growing team of data practitioners and be on the leading edge of Burlington's digital transformation! Burlington is seeking a self-driven and highly motivated individual to join a dynamic team with a passion for data, software, and engineering. At Burlington you will have the opportunity to work with the latest technologies in a goal-oriented environment. The Senior Data Engineer is a member of the Enterprise Data and Analytics team supporting business areas including Merchandising, Allocations, Marketing, IT and Supply Chain Analytics teams with insights gained from analyzing Burlington and external data. The successful candidate will have strong experience pulling data from various internal and external data sources and preparing it for advanced analytics, segmentation, and modeling. Must have strong interpersonal and relationship building skills as well as written and verbal communication skills.

A Day In The Life

  • Design and Develop ETL to extract data from first and third-party data sources, stitch, and wrangle it for advanced analytics activities and AI/ML and GenAI uses.

  • Guide and lead development of data pipelines to enable real-time, high volume, data consumption.

  • Leverage data engineering best practices and tools in collaboration with analytics translators, data scientists, and cloud engineers

  • Assist with researching first and third-party data sources to enable access and ensure availability of relevant data sources for those who need it

  • Provide input to cloud engineers for the design and implementation of data management and/or architecture solutions

  • Provide ongoing operational support for ETL/ELT environments including development, test, and production

  • Design, implement, and deploy data loaders to load data into the cloud data platform

  • Assist in pulling, filtering, tagging, joining, parsing, and normalizing data sets for use

  • Mentoring junior members of the team

You'll Come With

Education:

  • Bachelor's or Master's degree in Computer Science / Engineering, Informatics, or related areas.

Experience:

  • 5+ years of experience in designing and implementing large scale data loading, manipulation, processing, analysis, and exploration solutions

  • Extensive experience developing SQL based data processing

  • 5+ years of experience with Data Architecture, Data Warehouse, Lake Houses, Data Lake, Data Marts and Data Stores with focus on AI/ML techniques and LLMs

  • Experience with Snowflake and Oracle Databases as well as Azure and ADLS.

  • Experience in development & provisioning RESTful APIs to enable real-time data consumption.

  • Experience with source control tools such as GitHub and related CI/CD processes.

Skills and Abilities:

  • Technical expertise with pulling and massaging data

  • Great understanding of first/third party data

  • Agile Development methodology

  • Database Normalization

  • Advanced SQL skills

  • Understanding of data management principles and processes

  • Passion for data, analytics and pushing business innovation

  • Strategic thinker who loves technology and innovation

  • Excellent communication skills

  • AI-based development for data workflows, data wrangling, and code-assist

Preferred Skills:

  • Experience with Informatica IDMC

  • Experience with GenAI and Natural Language Processing (NLP) frameworks

  • Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming)

  • Unix / Linux Experience

  • Experience with CI/CD practices

  • Previous experience with DevOps

  • Experience with Python / Java programming languages

  • Experience with one or more enterprise scheduler

  • Experience with AI-based testing, experimentation and prototyping

  • Retail or CPG experience preferred

#LI-BS1

Come join our team. You're going to like it here!

You will enjoy competitive wages, flexible hours, and an associate discount. Burlington's benefits package includes medical, dental and vision coverage including life and disability insurance. Full-time associates are also eligible for paid time off, paid holidays and a 401(k) plan. We are a rapidly growing brand and provide a variety of training and development opportunities so our associates can grow with us. Our teams work hard and have fun together! Burlington associates make a difference in the lives of customers, colleagues, and the communities where we live and work every day. Burlington Stores, Inc. is an equal opportunity employer committed to workplace diversity.

Individual pay decisions will be based on a variety of factors, such as but not limited to, qualifications, education, job-related skills, relevant experience, and geographic location.

Min-Mid $80,000.00 - $105,000.00

Posting Number R102486

Location New Jersey-Edgewater Park

Address 4287 Route 130 S

Zip Code 08010

Pay Rate Salaried

Career Site Category Corporate

Position Category Information Technology

Job Type Full-Time

Remote Type Hybrid

Evergreen No


What Burlington employees say

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Burlington logo

About Burlington

Sourced by ZipRecruiter

At Burlington, we embrace the many facets of diversity that strengthen our communities where we live and work every day. If you want to grow your retail career with a caring and inclusive organization, come join the Burlington Stores team as a Customer Service Supervisor, Selling Floor Supervisor or Receiving Team Supervisor!

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Burlington, NJ, US