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Senior Data Wrangler Jobs (NOW HIRING)

1 point system

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Requirement - Sr. Data Engineer Location- Chicago, IL (Hybrid- 03 days onsite and 02 days remote ... Experience in data cleansing, data validation and data wrangling. * Hands-on experience in AWS ...

SOSi

Senior Data Scientist

OR · Remote

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and ...

SOSi

Senior Data Scientist

OR · On-site +1

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and ...

SOSi

Senior Data Scientist

OR · On-site

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and ...

Tredence Inc.

Senior Data Engineer

$108K - $147K/yr

Tredence Inc. is seeking a Senior Data Engineer to manage end-to-end delivery of data solutions ... of Data Wrangling • Demonstrable knowledge of Data Analysis • Ability to travel to ...

Judge Group, Inc.

Senior Data Engineer

Burlington, NJ · On-site

$100K - $110K/yr

The Senior Data Engineer is a member of the Enterprise Data and Analytics team supporting business ... AI-based development for data workflows, data wrangling, and code-assist * Experience with ...

Guidehouse

Senior Data Analyst

Mclean, VA · Hybrid

$86K - $109K/yr

As a Senior Data Analyst, you will be part of a dynamic team supporting customers within the ... Handson experience with data wrangling and analysis in R or Python. * Excellent communication and ...

TSMC

Senior Data Engineer / Data Curator

San Jose, CA · On-site

$124K - $168K/yr

As a Senior Data Engineer in the AI Data Curation track, you will design and maintain scalable data ... engineering, data wrangling, or data curation, particularly in machine learning or AI-driven ...

FalconX

Senior Data Analyst

New York, NY · On-site

$128K - $162K/yr

Strong command of data wrangling tools and scripting languages (e.g., Python, SQL) * Project ... for a Senior Associate in the New York City Area. This expected base pay range is based on ...

Burlington Stores

Senior Data Engineer

Beverly, NJ · On-site

$102K - $139K/yr

The Senior Data Engineer is a member of the Enterprise Data and Analytics team supporting business ... Design and Develop ETL to extract data from first and third-party data sources, stitch, and wrangle ...

Burlington

Senior Data Engineer

Edgewater Park, NJ · On-site

$80K - $105K/yr

The Senior Data Engineer is a member of the Enterprise Data and Analytics team supporting business ... Design and Develop ETL to extract data from first and third-party data sources, stitch, and wrangle ...

Fabergent

Sr Data Scientist

San Ramon, CA · On-site

Our client is looking for a senior data scientist for our first-of-its-kind sales analytics ... Technical mastery in one or more of the following languages/tools to wrangle and understand data:

SKIMS

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

We are looking for a Senior Data Analyst based in Los Angeles to join our Data & Analytics team. In ... data wrangling, transformation, and exploratory analysis. Designing and measuring experiments ...

FalconX

Senior Data Analyst

New York, NY · On-site

$128K - $162K/yr

Strong command of data wrangling tools and scripting languages (e.g., Python, SQL) * Project ... for a Senior Associate in the New York City Area. This expected base pay range is based on ...

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How much do senior data wrangler jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for senior data wrangler in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is the difference between Senior Data Wrangler vs Data Engineer?

AspectSenior Data WranglerData Engineer
CredentialsBachelor's or higher in CS, Data Science, or related; experience with data manipulation toolsBachelor's or higher in CS, Software Engineering, or related; often includes certifications in cloud platforms
Work EnvironmentData teams, analytics departments, research projectsIT departments, data infrastructure teams, cloud environments
Industry UsageData preparation, cleaning, and transformation rolesBuilding and maintaining data pipelines, databases, and infrastructure
Common Search/ComparisonOften compared for data handling skills, data pipeline tasksFocuses on scalable data systems, architecture, and automation

The main difference is that Senior Data Wranglers focus on cleaning and preparing data for analysis, while Data Engineers build and maintain the infrastructure that supports data storage and processing. Both roles require strong technical skills, but Data Engineers typically work on larger-scale systems and architecture.

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Senior Data Wrangler jobs near you
Infographic showing various Senior Data Wrangler job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

Sr. Data Engineer

1 point system

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Re-posted 8 days ago

Job description

Requirement – Sr. Data Engineer

Location- Chicago, IL (Hybrid- 03 days onsite and 02 days remote)

Contract W2

PURPOSE:

The Senior Data Engineer will design, code, test, and analyze software programs and applications. This includes researching, designing, documenting, and modifying software specifications throughout the production lifecycle. This role will also analyze and amend software errors in a timely and accurate fashion and provide status reports where required. The position responsibilities outlined below are not all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

POSITION RESPONSIBILITIES:

Work with Product team to determine requirements and propose approaches to address users' needs.

• Analyze requirements to determine approach/proposed solution.

• Design and Build Solutions using relevant programming language.

• Thoroughly test solutions using relevant approaches and tools

• Conduct research into software-related issues and products

• Bring out-of-box thinking and solutions to address challenging issues

• Effectively prioritize and execute tasks in a fast-paced environment

• Work both independently and in a team-oriented, collaborative environment

• Flexible and adaptable to learning and understanding new technologies

• Highly self-motivated and directed

• Demonstrate a commitment to client core values

• Exercise independent judgment in methods and techniques for obtaining results.

• Work in an agile/scrum environment.

EXPERIENCE AND QUALIFICATIONS:

Required Skills - Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners

• Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business

• Very good understanding of the full software development life cycle

• Very good understanding of Data warehousing concepts and approaches

• Experience in building Data pipelines and ETL approaches using Informatica IICS, Alteryx or any leading pipeline tool.

• Experience in building high-volume data workflows in a cloud environment

• Experience in building Data warehouse and Business intelligence projects

• Good Experience using Snowflake environment.

• Good Experience using streaming data using Kafka.

• Experience in data cleansing, data validation and data wrangling.

• Hands-on experience in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, Redshift

• Experience using Spark EMR, RDS, EC2, Athena, API capabilities, CloudWatch, CloudTrail is a plus

• Experience with Business Intelligence tools like Tableau, Cognos, ThoughtSpot, etc is a plus.

• Experience in one of the scripting languages: Python or Unix Scripting

• Proficient in SQL, PL/SQL, relational databases (RDBMS), database concepts and dimensional modeling

• Strong verbal and written communication skills

• Demonstrate analytical and problem-solving skills, particularly those that apply to Data Warehouse and Big Data environments.

• Resources should be able work along with On-site hours to participate in Req/Design discussions.

EDUCATION:

Bachelors degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field.

5 to 8+ years of experience within the field of data engineering or related technical work including business intelligence, analytics.