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Remote Data Processing Jobs in Chicago, IL (NOW HIRING)

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Develop standardized code and processes that can be easily used by the larger team. * Support ... in-office/remote policy in our Chicago, IL office (111 N Canal St, Chicago, IL 60606)is required.

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... Monitor model performance in production, refining algorithms and processes to adapt to real-world ...

NinjaHoldings

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... and monitoring processes * Establish key performance metrics and develop automated reporting ...

NinjaHoldings

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... and monitoring processes * Establish key performance metrics and develop automated reporting ...

Dlapiper

Data Scientist

Chicago, IL · On-site +1

Designs data modeling processes to create algorithms and predictive models. Performs custom ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Posted today

Initio Capital

Data Platform Analyst

Chicago, IL · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Tempus AI

Senior Data Analyst

Chicago, IL · On-site +1

$90K - $125K/yr

Develop data automation pipelines for data delivery, data handling routines for post-processing of ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

New

Tempus

Senior Data Analyst

Chicago, IL · On-site +1

$90K - $125K/yr

Develop data automation pipelines for data delivery, data handling routines for post-processing of ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

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All JobsData Processing JobsRemote Data Processing JobsRemote Data Processing Jobs in Chicago, IL

Remote Data Processing information

See Chicago, IL salary details

$12

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$35

How much do remote data processing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote data processing in Chicago, IL is $20.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.03 per hour, depending on experience, location, and employer.

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 Chicago, IL?

The most popular types of Data Processing jobs in Chicago, IL are:

What are popular job titles related to Remote Data Processing jobs in Chicago, IL?

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

What job categories do people searching Remote Data Processing jobs in Chicago, IL look for?

The top searched job categories for Remote Data Processing jobs in Chicago, IL are:

Remote Data Processing jobs near you
Infographic showing various Remote Data Processing job openings in Chicago, IL as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $43,424 per year, or $20.9 per hour.

Staff Software Security Engineer - cryptography

Innover Global Inc

Chicago, IL • Remote

$60 - $75/hr

Contractor

Re-posted 2 days ago

Job description

Senior Staff Software engineer - Cryptography

Location: Remote

Visa: USC only (we are not accepting any other visas at this moment)​​​​

​​Responsibilities:

  • Design, develop, and maintain scalable backend services and APIs to support a cloud-native cryptographic governance platform.
  • Build solutions to discover, inventory, and manage cryptographic assets including keys, certificates, encryption algorithms, and security protocols across enterprise environments.
  • Develop secure microservices for collecting, processing, normalizing, and correlating cryptographic data from distributed systems.
  • Design and implement frameworks that identify cryptographic vulnerabilities, obsolete algorithms, and compliance risks while enabling prioritized remediation.
  • Create intuitive dashboards, reporting capabilities, and data visualization components that provide actionable insights into cryptographic posture and post-quantum readiness.
  • Develop search, filtering, and inventory management capabilities that allow users to efficiently explore relationships between cryptographic assets across complex environments.
  • Architect highly available, scalable, and secure software solutions using modern cloud-native design principles and distributed systems architecture.
  • Build and maintain automated CI/CD pipelines to streamline application delivery, infrastructure provisioning, testing, and secure deployment processes.
  • Develop Infrastructure-as-Code (IaC) solutions using Terraform and collaborate on cloud infrastructure management within AWS and Kubernetes environments.
  • Optimize application performance, database design, and data processing workflows utilizing PostgreSQL, Redis, MongoDB, and other modern data technologies.
  • Collaborate closely with cross-functional engineering teams to define technical architecture, establish engineering standards, perform code reviews, and drive software quality initiatives.
  • Integrate security best practices throughout the software development lifecycle, ensuring resilient, reliable, and compliant production systems.
  • Troubleshoot complex production issues, implement monitoring and observability solutions, and continuously improve system reliability, scalability, and operational efficiency.
  • Contribute to technical strategy, architectural decision-making, innovation initiatives, and the delivery of secure, enterprise-grade software solutions supporting regulated commercial and government environments.