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Quantitative Data Engineer Jobs in Peoria, IL (NOW HIRING)

Uses engineering tools to make quantitative comparisons based off facts and empirical data * Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions.

Director of Biostatistics

Peoria, IL ยท Remote

$60 - $65/hr

... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ... Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.

Collect and analyze sustainability-related data * Contribute to the development of communication ... Ability to research, analyze, and succinctly report qualitative and quantitative results * Ability ...

Collect and analyze sustainability-related data * Contribute to the development of communication ... Ability to research, analyze, and succinctly report qualitative and quantitative results * Ability ...

Quantitative Data Engineer information

See Peoria, IL salary details

$10.8K

$127.2K

$194.3K

How much do quantitative data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for quantitative data engineer in Peoria, IL is $127,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $135,900.00 per year, depending on experience, location, and employer.

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.

What are the key skills and qualifications needed to thrive as a quantitative data engineer, and why are they important?

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

What job categories do people searching Quantitative Data Engineer jobs in Peoria, IL look for?

The top searched job categories for Quantitative Data Engineer jobs in Peoria, IL are:

What cities near Peoria, IL are hiring for Quantitative Data Engineer jobs?

Cities near Peoria, IL with the most Quantitative Data Engineer job openings:

Quantitative Researcher - Public Health, Healthcare Evaluation, & Disability

Mathematica, Inc.

Washington, IL โ€ข On-site

$100 - $140/hr

Other

Posted 25 days ago


Key responsibilities

  • Collaborate with senior staff to apply quantitative research methods, including study design, causal inference, data management, and statistical analysis for evaluating programs and policies

  • Draft reports, present findings to policy and professional audiences, and publish in professional journals

  • Help develop proposals for new research projects


Job description

Quantitative Researcher - Public Health, Healthcare Evaluation, & Disability

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 companyโ€™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: https://www.mathematica.org/career-opportunities/benefits-at-a-glance.

Primary Duties and Responsibilities

Mathematica is hiring researchers with specific expertise in quantitative research methods, causal inference, and policy research, who will conduct studies and support program evaluation in the areas of public health, healthcare, and disability. The researchers will support project teams in the planning and execution of rigorous, data-driven research project for clients such as: The Centers for Medicare & Medicaid Services, the Social Security Administration, the Substance Abuse and Mental Health Services Administration, the Agency for Healthcare Research and Quality, the Health Resources & Services Administration, the Office of the Assistant Secretary for Planning and Evaluation, leading health foundations, and numerous state and local agencies and commercial clients.

Responsibilities and expectations
  • Collaborate with senior staff in a multidisciplinary environment to apply rigorous quantitative research methods, including study design, causal inference, data management, and statistical and econometric analysis for describing or evaluating programs and policies
  • Draft reports, present findings to policy and professional audiences, and publish in professional journals
  • Help develop proposals for new research projects
  • Contribute to the growth, expertise, and institutional knowledge of other research staff
Required Qualifications
  • Ph.D. or equivalent in economics, public health, epidemiology, biostatistics, data science/data analytics, health services research, or other relevant discipline. In lieu of a Ph.D., a Mastersโ€™ degree with coursework in causal inference and demonstrated experience applying it to research will be considered equivalent.
  • Strong quantitative analytical skills. Training in causal inference methodologies is strongly preferred.
  • Broad understanding of health policy issues in the United States
  • Experience using health care and public health data sources (e.g., health care claims, electronic health records, national surveys) is strongly preferred.
  • Experience working with programming languages, such as R, Python, or STATA, and with AI platforms, such as ChatGPT or Microsoft Copilot
  • Excellent written and oral communication skills, including an ability to translate complex research methods and findings for a practitioner and policy audience.
  • Ability to work well in teams.
  • Strong organizational skills and high level of attention to detail; flexibility to lead and manage multiple priorities, sometimes simultaneously, under deadlines.

This role offers an anticipated base salary of $100,000 - $140,000 annually. This position is eligible for an annual bonus target opportunity based on individual and company performance.

Currently, Mathematicaโ€™s largest client is Centers for Medicare & Medicaid Services (CMS). Most staff working on CMS contracts will be required to complete a successful background investigation including the Questionnaire for Public Trust Position SF-85. Staff that are unable to successfully undergo the background investigation will need to be able to obtain work outside CMS. Staff will work with their supervisor to get re-staffed, however if they are unable to do so it may result in employment termination due to lack of work.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual 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 youโ€™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 itโ€™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/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.

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