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Remote Data Processing Jobs in Ohio (NOW HIRING)

GOOGLE Data Architect

Columbus, OH ยท Remote

$75 - $85/hr

Columbus, OH (4 days onsite, 1 day remote) Type: 3+ Months Contract to Hire Overview: We're looking ... Knowledge of real-time processing and event-driven architecture Preferred Qualifications:

Data Analyst

Dayton, OH ยท On-site +1

$61K - $141K/yr

Work closely with subject matter experts to learn about specific products and processes. * Support ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Analyst

Dayton, OH ยท On-site +1

$61K - $141K/yr

Work closely with subject matter experts to learn about specific products and processes. * Support ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Process analysis and design * Systems architecture Necessary competencies: * Critical thinking ... If fully remote: must be willing to travel * This position will require the ability to work ...

Palantir Data Engineer

Perrysburg, OH ยท On-site +1

$107K - $129K/yr

Palantir Foundry Engineer #0910 Perrysburg, OH 43551 / Hybrid-Remote Long-term ***PLEASE DO NOT ... Design and implement ETL/ELT processes, ensuring data quality, normalization, and integrity. Build ...

$17.50 - $21.25/hr

This is an office (or remote) based, cubicle environment, allowing the Pharmacy Technician to ... Enter a high volume of data; processing prescription information with speed and accuracy.

Owns the entire model development process, from identifying the business requirements, data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Owns the entire model development process, from identifying the business requirements, data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Data Processing information

See Ohio salary details

$11

$19

$33

How much do remote data processing jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for remote data processing in Ohio is $19.27, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $21.25 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

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

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What are the key skills and qualifications needed to thrive as a Remote Data Processing specialist, and why are they important?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.
What are the most commonly searched types of Data Processing jobs in Ohio? The most popular types of Data Processing jobs in Ohio are:
Infographic showing various Remote Data Processing job openings in Ohio as of June 2026, with employment types broken down into 69% Full Time, 27% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $40,075 per year, or $19.3 per hour.
GOOGLE Data Architect

GOOGLE Data Architect

Judge Group, Inc.

Columbus, OH โ€ข Remote

$75 - $85/hr

Other

Posted 16 days ago


Job description

Location: Columbus, OH Salary: $75.00 USD Hourly - $85.00 USD Hourly Description:
No sponsorship or C2C for this role
Must be a w2 employee of The Judge Group
Google Data Architect
Locations: Columbus, OH (4 days onsite, 1 day remote)
Type: 3+ Months Contract to Hire

Overview:
We're looking for a Senior Google Cloud Data Architect to design and lead scalable, cloud-native data platforms on Google Cloud Platform. This role focuses on building enterprise-grade data services, enabling data-as-a-product, and supporting analytics, real-time processing, and AI-driven use cases.
Key Responsibilities:
  • Design and evolve enterprise data architecture on Google Cloud
  • Build scalable batch, streaming, and real-time data pipelines
  • Define standards for data services, APIs, and event-driven architectures
  • Enable secure, governed, and high-quality data delivery
  • Architect data platforms supporting analytics, operational, and AI/ML workloads
  • Develop data models and integration patterns for enterprise-wide consumption
  • Mentor teams and drive best practices in data engineering and architecture

Required Qualifications:
  • 7+ years in data architecture or cloud data engineering
  • Strong experience with Google Cloud Platform tools (BigQuery, Pub/Sub, Dataflow, Bigtable, GKE, etc.)
  • Expertise in SQL and Python/Java
  • Experience with large-scale data pipelines and distributed systems
  • Knowledge of real-time processing and event-driven architecture

Preferred Qualifications:
  • Financial services or high-transaction domain experience
  • Experience with APIs, microservices, and data governance tools
  • Familiarity with DevOps, CI/CD, Terraform
  • Google Cloud Platform certifications (Professional Data Engineer/Cloud Architect)

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Contact:
This job and many more are available through The Judge Group. Please apply with us today!