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Remote Data Processing Jobs in Ohio (NOW HIRING)

Pharmacy Data Management

Senior Data Engineer

Poland, OH · On-site +1

$91K - $124K/yr

Fully remote opportunity with a company that cares. Key Responsibilities: * Design, develop ... processing. * Develop governed data models, datasets, and data products that enable Tableau ...

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data ... Document systems, processes, and decisions to build long‑term institutional knowledge What You ...

Radiance Technologies

Remote Sensing Scientist

Beavercreek, OH · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Perform algorithm development for complex data exploitation processes Required Skills and Qualifications: * Bachelor's Degree (or higher) in a STEM field (Physics, Chemistry, Geology, Remote Sensing ...

Radiance Technologies

Remote Sensing Scientist

Beavercreek, OH · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Perform algorithm development for complex data exploitation processes Required Skills and Qualifications: * Bachelor's Degree (or higher) in a STEM field (Physics, Chemistry, Geology, Remote Sensing ...

Smart Data

2314 Information Security Engineer IV

Cincinnati, OH · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

REMOTE EST/CST Years of Experience: 5+ T OP SKILLS: Must Have * API security * Javascript/NodeJS ... Experience writing one-off automation and data-processing scripts. * Amazon Web Services (AWS ...

Smart Data

15787 Data Scientist II

Cincinnati, OH · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote EST/CST candidates will be considered Years of Experience: 3+ CONTRACT TO HIRE - MUST BE ... Measurement processes * Quantify treatments back to business (How does purchasing behavior change ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.

VIVA USA INC

Data Architect

Columbus, OH · On-site +1

$61.50 - $79.25/hr

Remote The Data Architect is responsible for designing, implementing, and maintaining the ... Integration & ETL Design and optimize ETL/ELT processes for data warehousing and analytics, with ...

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Remote Data Processing information

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?

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 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 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 the most commonly searched types of Data Processing jobs in Ohio?

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

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

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

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

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

What cities in Ohio are hiring for Remote Data Processing jobs?

Cities in Ohio with the most Remote Data Processing job openings:

Remote Data Processing jobs near you
Infographic showing various Remote Data Processing job openings in Ohio as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% Remote job distribution.

Senior Data Engineer

Pharmacy Data Management

Poland, OH • On-site, Remote

$91K - $124K/yr

Full-time

Posted 5 days ago

Job description

PDMI is looking to add a Senior Data Engineer to our team! This position is responsible for designing, developing, optimizing, and supporting enterprise data integration, reporting, and analytics solutions. The Senior Data Engineer plays a key role in modernizing the organization's data ecosystem by transitioning legacy SQL Server and SSRS solutions to a scalable, cloud-based architecture centered on Amazon Redshift, AWS data services, and Tableau. This position develops scalable ETL pipelines, data warehouse solutions, governed data products, and secure data delivery capabilities that enable reliable enterprise reporting, analytics, and self-service access to trusted business information.
Since 1984, PDMI has provided pharmacy data processing and other flexible, scalable solutions to help our clients meet their business objectives. We offer transparent, pass-through pharmacy processing and other services for private label Pharmacy Benefit Managers (PBMs), vertically integrated health plans and hospital systems. In addition to Pharmacy Benefit Administrative Services, we offer 340B Administration, Hospice and Long-Term Care Services.
Why Join Us:
  • Best Employer: PDMI was voted Best Employer in Ohio for the 5th consecutive year in 2025!
  • Meaningful Work: Contribute to improving healthcare quality and efficiency.
  • Collaborative Environment: Work with passionate professionals who share your drive.
  • Exciting Challenges: Every day brings new opportunities to excel.
  • Flexible Work: Fully remote opportunity with a company that cares.

Key Responsibilities:
  • Design, develop, optimize, and support scalable ETL pipelines and data integration solutions that enable enterprise reporting, analytics, and data delivery.
  • Develop and optimize complex SQL queries, stored procedures, data transformations, and data models across Amazon Redshift and Microsoft SQL Server environments.
  • Support the modernization of legacy SQL Server and SSRS reporting solutions by migrating data pipelines, reporting processes, and analytics capabilities to AWS-based architectures.
  • Design and maintain cloud-based data warehouse solutions using Amazon Redshift and related AWS services to support scalable, reliable, and high-performing data processing.
  • Develop governed data models, datasets, and data products that enable Tableau reporting, enterprise analytics, and self-service access to trusted business information.
  • Build and enhance scalable data extract, file delivery, and reporting solutions that reduce manual processes and improve the reliability and efficiency of enterprise data delivery.
  • Analyze and optimize ETL workflows, SQL queries, data models, and warehouse performance for large-scale datasets and complex reporting workloads.
  • Partner with business and technical stakeholders to gather requirements, understand reporting and data needs, and translate business requirements into scalable technical solutions.
  • Implement and maintain appropriate data security, role-based access controls, and governance standards across enterprise data and analytics solutions.
  • Monitor, troubleshoot, and resolve data pipeline, data quality, performance, and reporting issues while supporting critical legacy systems throughout modernization efforts.
  • Apply modern software development practices, including source control, code review, testing, CI/CD, documentation, and automation, to data engineering and analytics development.
  • Evaluate and leverage cloud-native services, automation, and AI-assisted development tools to improve development efficiency, monitoring, data operations, and analytics capabilities.
  • Collaborate with Data, Engineering, Product, and business teams to establish sustainable data solutions, reduce reliance on manual reporting and external development resources, and support the continued evolution of the enterprise data platform.

Work & Education Experience Requirements:
  • Bachelor's degree in Data Management, Information Systems, Computer Science, Analytics, or a related field required, or equivalent combination of education and experience.
  • 7+ years of experience in ETL development, data engineering, business intelligence, data warehousing, or a related discipline required.
  • Hands-on experience designing, developing, optimizing, and supporting enterprise data warehouse and ETL solutions, including Amazon Redshift, required.
  • Advanced SQL development expertise, including complex query development, data transformation, and performance optimization required.
  • Strong knowledge of data warehousing concepts, dimensional modeling, enterprise reporting architectures, and large-scale data processing required.
  • Experience gathering business requirements and translating them into scalable data integration, reporting, and analytics solutions required.
  • Experience with Microsoft SQL Server, including legacy data extraction and migration support, required.
  • Experience with SSRS reporting solutions and migrating legacy SQL Server/SSRS environments to modern cloud-based data platforms preferred.
  • Experience developing cloud-native data pipelines using AWS services such as Glue, S3, Lambda, Athena, ECS/EKS, or similar technologies preferred.
  • Experience developing Tableau dashboards, semantic data models, governed data products, and enterprise self-service analytics solutions preferred.
  • Experience implementing data governance, role-based security, Git, CI/CD pipelines, and modern software development practices preferred.
  • Experience within PBM, healthcare, pharmacy claims, 340B, rebate, or claims adjudication environments preferred.
  • Experience using AI-assisted development tools or developing AI-enabled automation, analytics, monitoring, or reporting solutions preferred.

AI Usage & Candidate Authenticity:
AI tools may be used for resume formatting or drafting application materials; however, submitting content that misrepresents your experience, including copied job descriptions or unverifiable work history, is not acceptable. Candidates must be prepared to clearly and confidently speak to all experience listed. PDMI may request work samples, portfolio links, or other forms of validation during the process. Use of AI tools during interviews or assessments, unless explicitly permitted, will result in disqualification.
All offers are contingent upon successful completion of a pre-employment background check, including employment and education verification, as well as a 4-panel drug screen.

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