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Data Wrangler Jobs in Ohio (NOW HIRING)

BankUnited

Data Analytics Engineer

Cleveland, OH · On-site +1

$110K - $133K/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 Analytics Engineer will support our ...

AA2IT

Cloud Data Engineer

Columbus, OH · On-site

$53.75 - $72/hr

... and data wrangler who enjoys optimizing data systems and building them from the ground up. • During various aspects of this process, you should collaborate with coworkers to ensure that your ...

Munich Re

Data Scientist

Amelia, OH · On-site +1

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

Munich Re

Data Scientist

Cleveland, OH · On-site +1

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

Munich Re

Data Scientist

Cincinnati, OH · On-site +1

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

Munich Re

Data Scientist

Akron, OH · On-site +1

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

J.P. Morgan

Data Domain Architect - Associate

Columbus, OH

$61.50 - $79.25/hr

Hands-on experience with analytics and data-wrangling tools such as Alteryx, SAS, or Python to build repeatable and auditable workflows * Experience developing and testing reporting solutions ...

Munich RE

Data Scientist

Cincinnati, OH · On-site

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

Munich Re

Data Scientist

Columbus, OH · On-site +1

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

Munich RE

Data Scientist

Akron, OH · On-site

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

Munich RE

Data Scientist

Cleveland, OH · On-site

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

Munich Re

Data Scientist

Dayton, OH · On-site +1

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

Munich Re

Data Scientist

Amelia, OH · On-site

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

Munich RE

Data Scientist

Columbus, OH · On-site

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

Munich RE

Data Scientist

Amelia, OH · On-site

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

Munich RE

Data Scientist

Dayton, OH · On-site

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

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All JobsData Wrangler JobsData Wrangler Jobs in Ohio

Data Wrangler information

See Ohio salary details

$43.7K

$156.9K

$231.5K

How much do data wrangler jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data wrangler in Ohio is $156,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $161,600.00 per year, depending on experience, location, and employer.

What is a data wrangler?

A Data Wrangler is responsible for collecting, cleaning, and organizing raw data from various sources to make it usable for analysis. They preprocess data by handling missing values, formatting inconsistencies, and eliminating errors to ensure accuracy. Data Wranglers work closely with data analysts and data scientists to prepare structured datasets for insights and decision-making. Their role often involves scripting, automation, and utilizing tools like Python, SQL, and data transformation platforms.

What skills and qualifications are needed to be a data wrangler?

To thrive as a Data Wrangler, you need a strong background in data cleaning, transformation, and analysis, usually supported by a degree in computer science, statistics, or a related field. Familiarity with tools like Python, R, SQL, Excel, and data visualization platforms, as well as knowledge of ETL processes, is typically required. Detail orientation, problem-solving skills, and clear communication are vital soft skills for this role. These skills are important for ensuring that raw data is accurately refined and prepared for meaningful analysis by data scientists and business stakeholders.

What challenges do data wranglers face and how do they navigate them?

Data Wranglers often encounter challenges such as inconsistent or incomplete datasets, merging data from multiple sources, and addressing ambiguous data definitions. To navigate these issues, they work closely with data engineers, analysts, and subject matter experts to clarify data requirements and apply robust validation processes. Effective communication and creative problem-solving are key to diagnosing and resolving data quality issues. By mastering a variety of technical tools and adopting meticulous data documentation practices, Data Wranglers play a crucial role in ensuring that downstream analytics are reliable and actionable.

What are the most commonly searched types of Data Wrangler jobs in Ohio?

The most popular types of Data Wrangler jobs in Ohio are:

What are popular job titles related to Data Wrangler jobs in Ohio?

For Data Wrangler jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Wrangler jobs in Ohio look for?

The top searched job categories for Data Wrangler jobs in Ohio are:

What cities in Ohio are hiring for Data Wrangler jobs?

Cities in Ohio with the most Data Wrangler job openings:

Data Wrangler jobs near you
Infographic showing various Data Wrangler job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $156,882 per year, or $75.4 per hour.

Data Analytics Engineer

BankUnited

Cleveland, OH • On-site, Remote

$110K - $133K/yr

Full-time

Re-posted 9 days ago

BankUnited rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

72nd of 175 rated banks

Job description

JOB SUMMARY: The Data Analytics Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. 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 Analytics Engineer will support our data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives. This individual will also be responsible for supporting business units across the organization through the utilization of technical and business knowledge to recommend solutions that solve business problems and reporting needs, amongst other skill sets. This includes identifying and defining data analytics needs as well as the structuring and analysis of data from multiple source systems for the purposes of creating and maintaining reporting (e.g. visual and flowchart modeling). The Data Analytics Engineer works closely with a multifunctional team of data engineers, data analysts, and AI/ML solutions engineers. As a result, this individual is exposed to bleeding-edge generative AI technology and the latest large language models and will have a hand in helping develop full-stack applications that leverage those technologies.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Creates and maintains optimal data pipeline architecture
  • Assembles large, complex data sets that meet functional / non-functional business requirements.
  • Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Works closely with IT departments to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies
  • Combines raw information from different sources to create consistent and machine-readable formats
  • Develops and tests architectures that enable data extraction and transformation for predictive or prescriptive modeling
  • Supports the data mining, reporting and general analytics needs of the department
  • Identifies process gaps and recommend new opportunities for process improvement through the use of quantitative analytics
  • Applies statistical techniques to interpret risk and develop solutions for business consumption
  • Leverages understanding of multiple data structures and sources to perform complex data manipulation using advanced data extraction and analytical tools and techniques
  • Recognizes the connection between the business operations and analytics to influence business strategies through the interpretation and explanation of data to stakeholders
  • Supports development of innovative approaches and best practices
  • Performs any other assignments as directed by manager.
  • Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
  • Adheres to Bank policies and procedures and completes required training.
  • Identifies and reports suspicious activity.

QUALIFICATIONS
Education
  • Bachelor's Degree in Computer Science, Data Analytics, Data Science, Management Information Systems or a related field

Experience
  • At least 4 years working with data modeling, software implementation, enhanced reporting analytics and/or related experience in financial services data analysis and/or application development
  • Required hands-on experience with Snowflake, including data modeling, performance optimization, and building and maintaining production data pipelines
  • Preferred experience with dbt (data build tool) for data transformation, testing, and analytics workflow orchestration
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

Knowledge, Skills, and Abilities
  • Mastery of analytic and data visualization tools such as SAS, SQL, Adobe Analytics Tableau, Google Analytics, Python or R, AWS Cloud Services (Cloudwatch ,EC2, EMR, Redshift, Athena,Glue) etc
  • Ability to multitask, meet deadlines, manage competing demands/multiple projects, maintain a strong sense of urgency and follow through in addressing issues
  • Effective and persuasive presentations (verbal and written) for project teams and business leaders
  • Maintains strong attention to detail in high-pressure situations
  • Solid understanding of data warehouse and dimensional modeling concepts

Additional Information
  • Candidates residing in locations within BankUnited's footprint may be given preference.

Candidates residing in locations within BankUnited's footprint may be given preference.

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