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Data Processing Jobs in Columbus, OH (NOW HIRING)

GCP Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

... data processing systems with few technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Veica, Netezza, Teradata, Tableau, Qlik or ...

Enterprise Data Architect

Columbus, OH · On-site

$120 - $160/hr

Establishes processes for governing the identification, collection, and use of corporate metadata ... Conducts data capacity planning, life cycle, duration, usage requirements, feasibility studies, and ...

Data Entry Clerk

Columbus, OH · On-site

$16.50 - $22/hr

Responsible for clinical data processing as directed by Site Director or another assigned manager. * Quality control the clinical data to ensure the data quality and report discrepancies to the ...

GCP Data Engineer

Columbus, OH · Hybrid

$100K - $151K/yr

Influence and support the development of agentic and AI-enabled solutions that improve business processes and governance outcomes. * Expand your expertise in cloud data architecture, security ...

Showing results 21-40

Data Processing information

See Columbus, OH salary details

$11

$18

$32

How much do data processing jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data processing in Columbus, OH is $18.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $20.87 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What job categories do people searching Data Processing jobs in Columbus, OH look for?

The top searched job categories for Data Processing jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Data Processing jobs?

Cities near Columbus, OH with the most Data Processing job openings:

Infographic showing various Data Processing job openings in Columbus, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,385 per year, or $18.9 per hour.

Lead Software Engineer - Data Engineering | Data Technology

Fairygodboss

Columbus, OH • On-site

$140 - $190/hr

Other

Medical, Retirement

Posted 4 days ago


Key responsibilities

  • Design, develop, and optimize large-scale ETL data pipelines.

  • Build high-quality Python applications using modular code, reusable components, logging, and automated testing.

  • Implement and support workflow orchestration using Control-M or Apache Airflow (MWAA).


Job description

This is your chance to change the path of your career and work at one of the world's leading financial institutions.

As a Lead Software Engineer - Data Engineering at JPMorgan Chase within the Consumer & Community Banking/Data Products team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities:
  • Design, develop, and optimize large-scale ETL (Extract Transform Load) data pipelines.
  • Build high-quality Python applications using modular code, reusable components, logging, and automated testing.
  • Develop and maintain distributed data processing solutions using PySpark.
  • Large scale end-to-end testing design and validation.
  • Implement and support workflow orchestration using Control-M or Apache Airflow (MWAA).
  • Develop cloud-native solutions leveraging AWS services, including Glue, Athena, Lambda, and CloudWatch.
  • Design and manage modern data lake architectures utilizing Iceberg and/or Delta Lake.
  • Administer and optimize Snowflake environments, including streams, tasks, roles, and warehouses.
  • Participate in code reviews and champion engineering best practices, testing standards, and CI/CD processes.
  • Leverage approved AI-assisted development tools while ensuring secure, responsible, and compliant software delivery.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience with a strong focus on data engineering.
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages - Python (primary) & Java (secondary)
  • Hands-on experience with PySpark or other distributed data processing frameworks.
  • Strong expertise in DBT (Data Build Tool) and modern ETL (Extract Transform Load) development practices.
  • Experience with workflow orchestration platforms such as Control-M or Apache Airflow (MWAA).
  • Expertise with AWS data services, including Glue, Athena, CloudWatch, and Lambda.
  • Knowledge of modern open table formats such as Iceberg and/or Delta Lake.
  • Experience with Snowflake administration and development.
  • Strong SQL skills and experience with modern database technologies.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Preferred qualifications, capabilities, and skills
  • Experience with Kafka, Flink, or other streaming technologies.
  • Familiarity with AI/ML technologies including LLMs, prompt engineering, vector search, and responsible AI practices.
  • Experience using AI-assisted software development tools such as GitHub Copilot, Claude, or similar technologies.
  • Financial services industry experience and understanding of large-scale enterprise data environments.
  • Experience mentoring engineers and leading technical delivery initiatives.
ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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