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

Senior Data Engineer (Databricks)

Chicago, IL ยท Remote

$107K - $147K/yr

Chicago, IL / Remote Job Type: Full-Time Job Summary We are seeking a highly skilled Senior Data ... Architect distributed data processing frameworks ensuring reliability, scalability, and performance

Chicago, IL (Onsite & Remote) Full Time Required Skills: * BQ, Looker,GCP, SQL, DataFlow, Debezium, Data modelling * Knowledge of big data processing and analytics tools on GCP like BigQuery ...

Data Engineer (MedInsight)

Chicago, IL ยท On-site +1

$93K - $177K/yr

Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Data & AI Senior Engineer - 90405345 - Remote

Chicago, IL ยท On-site +1

$126K - $166K/yr

Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and ... Advanced proficiency in Python and SQL with deep experience in distributed data processing (e.g ...

Data & AI Senior Engineer - 90405345 - Remote

Chicago, IL ยท On-site +1

$126K - $166K/yr

Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and ... Advanced proficiency in Python and SQL with deep experience in distributed data processing (e.g ...

Senior Data Engineer

Chicago, IL ยท On-site +1

$109K - $148K/yr

Assessing and analyzing legacy data processes and driving modernization efforts * Collaborating ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Senior Data Engineer

Chicago, IL ยท On-site +1

$109K - $148K/yr

Assessing and analyzing legacy data processes and driving modernization efforts * Collaborating ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Senior Data Engineer

Chicago, IL ยท On-site +1

$109K - $148K/yr

Assessing and analyzing legacy data processes and driving modernization efforts * Collaborating ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Senior Data Engineer

Chicago, IL ยท On-site +1

$109K - $148K/yr

Data Processing and Preparation Develop and manage data preparation routines for extracts ... Remote working arrangements may be available to non-local candidates. The range for this position ...

Senior Data Engineer

Downers Grove, IL ยท On-site +1

$105K - $143K/yr

Data Processing and Preparation Develop and manage data preparation routines for extracts ... Remote working arrangements may be available to non-local candidates. The range for this position ...

Data Analyst - Data Ops

Chicago, IL ยท On-site +1

$50K - $55K/yr

Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ... and process. It is at the Company's discretion to determine what pay is provided to a candidate ...

Data Conversion Analyst

Chicago, IL ยท On-site +1

$111K - $185K/yr

Execute data migration processes, monitoring for errors or discrepancies and addressing issues as ... The starting pay range for this remote role is $111,540 - $185,900. This range reflects the minimum ...

New

Data Engineer (Remote)

Chicago, IL ยท Remote

$117K - $140K/yr

This role will start with existing processes that are largely manual and bespoke today, but will ... You will design and manage data infrastructure that processes large, complex datasets, including ...

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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 Jun 17, 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 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 Chicago, IL? The most popular types of Data Processing jobs in Chicago, IL are:
Infographic showing various Remote Data Processing job openings in Chicago, IL as of June 2026, with employment types broken down into 69% Full Time, 26% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 90% Physical, 5% Hybrid, and 5% Remote job distribution, with an average salary of $43,424 per year, or $20.9 per hour.
Sr. Data Analytics Developer (Remote Eligible)

Sr. Data Analytics Developer (Remote Eligible)

Mathematica

Chicago, IL โ€ข On-site, Remote

$105K - $135K/yr

Full-time

Posted 21 days ago


Job description

Sr. Data Analytics Developer (Remote Eligible)
About Mathematica:
Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.
Mathematica offers our employees competitive salaries and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.
Read more about our benefits here: Benefits at a Glance.
At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.
We are seeking an intellectually curious Sr. Data Analytics Developer in any of our locations who is passionate about using big data to answer research questions that influence decision making in U.S. health care policy. The ideal candidate will work in languages such as Python and SQL, or other data engineering or statistical programming languages. Individuals with an interest in confronting the challenges of working with large, complex data sets, an interest in data manipulation and analysis, and a desire to become a subject matter expert in health care data are strongly encouraged to apply.
Responsibilities:
  • Leading the development of scalable data pipelines and analysis systems involving large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy
  • Providing creative and best practice solutions for data processing optimization, commonly on cloud computing platforms
  • Ensuring data quality through all stages of data processing with rigorous quality control
  • Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found
  • Mentoring junior developers to follow technical standards and best practices, and may lead small teams of 2-3 developers

Required Qualifications:
  • Bachelor's degree with a strong academic record in computer science, economics, applied mathematics, statistics, public health, public administration, public policy, sociology, political science, or a related field; Master's degree preferred
  • 5+ years of in-depth programming experience in a professional and/or academic environment
  • Programming expertise using Python, SQL, SAS, R, Stata, or a similar data engineering or statistical language
  • Experience performing data pipelining or analytics using cloud computing platforms and services, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and/or Databricks is strongly preferred
  • Strong organizational and communication skills, and the ability to build consensus
  • Excellent written and oral communication skills, including an ability to explain technical concepts and/or engineering approaches to a non-technical audience.
  • Experience processing and analyzing health care claims is preferred.
  • Subject-matter knowledge in healthcare data preferred.
  • Has the ability to pass a background investigation or security clearance for federally contracted project work; holding an active Centers for Medicare and Medicaid (CMS) Enterprise User Administration (EUA) ID is desired.

This position offers an anticipated annual base salary range of $105,000 to $135,000. This position may be eligible for a discretionary bonus based on company and individual performance.
To apply, please submit cover letter, resume, location preferences, salary requirements, and code samples via our careers page. Please include a code sample (up to three) which best represents your current programming skills, preferably in Python or SQL. If you include a GitHub, please call out the specific samples you want to highlight. If you do not have code available in these preferred languages, please send a code sample in an alternate language.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, age, national origin, religion, orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.
At Mathematica, we understand the importance of building relationships with colleagues. If you're not located near one of our offices but would like opportunities to meet up with co-workers, we offer coworking spaces where available. Ask your Talent Acquisition partner for more information about this opportunity and whether it's an option in your area.
Any offer of employment will be contingent upon passing a background check. Various federal agencies with whom we contract require that staff successfully undergo security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance. Additionally, if you participate in or complete the application process and are denied, Mathematica may choose to terminate your employment.
We take pride in our employees and in their commitment to excellence. We encourage staff to collaborate in developing creative solutions to difficult problems and to share the responsibility and enjoyment of carrying out complex projects. This collegial spirit has helped us earn our reputation for innovative and high-quality work.