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Linear Programming Jobs in Chicago, IL (NOW HIRING)

Deep knowledge of college-level algebra, functions and graphs, trigonometric concepts, introductory statistics, finite mathematics, linear programming, and mathematical modeling. Ability to explain ...

Deep knowledge of college-level algebra, functions and graphs, trigonometric concepts, introductory statistics, finite mathematics, linear programming, and mathematical modeling. Ability to explain ...

Deep knowledge of college-level algebra, functions and graphs, trigonometric concepts, introductory statistics, finite mathematics, linear programming, and mathematical modeling. Ability to explain ...

Deep knowledge of college-level algebra, functions and graphs, trigonometric concepts, introductory statistics, finite mathematics, linear programming, and mathematical modeling. Ability to explain ...

Deep knowledge of college-level algebra, functions and graphs, trigonometric concepts, introductory statistics, finite mathematics, linear programming, and mathematical modeling. Ability to explain ...

Deep knowledge of college-level algebra, functions and graphs, trigonometric concepts, introductory statistics, finite mathematics, linear programming, and mathematical modeling. Ability to explain ...

Deep knowledge of college-level algebra, functions and graphs, trigonometric concepts, introductory statistics, finite mathematics, linear programming, and mathematical modeling. Ability to explain ...

Deep knowledge of college-level algebra, functions and graphs, trigonometric concepts, introductory statistics, finite mathematics, linear programming, and mathematical modeling. Ability to explain ...

Deep knowledge of college-level algebra, functions and graphs, trigonometric concepts, introductory statistics, finite mathematics, linear programming, and mathematical modeling. Ability to explain ...

Deep knowledge of college-level algebra, functions and graphs, trigonometric concepts, introductory statistics, finite mathematics, linear programming, and mathematical modeling. Ability to explain ...

Deep knowledge of college-level algebra, functions and graphs, trigonometric concepts, introductory statistics, finite mathematics, linear programming, and mathematical modeling. Ability to explain ...

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Linear Programming information

See Chicago, IL salary details

$45.8K

$73K

$102K

How much do linear programming jobs pay per year?

As of Jun 10, 2026, the average yearly pay for linear programming in Chicago, IL is $72,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $91,200.00 per year, depending on experience, location, and employer.

What is a Linear Programming job?

A Linear Programming job involves using mathematical optimization techniques to maximize or minimize a particular objective, such as cost reduction or resource allocation, under a set of given constraints. Professionals in this field work with mathematical models, algorithms, and software tools like Python, MATLAB, or specialized solvers. These jobs are common in industries like logistics, finance, operations research, and data science, where efficient decision-making is critical.

What are the key skills and qualifications needed to thrive in the Linear Programming position, and why are they important?

To succeed in a Linear Programming role, you need strong mathematical and analytical skills, typically supported by a degree in operations research, mathematics, or a related quantitative field. Familiarity with optimization software such as CPLEX, Gurobi, or MATLAB, along with programming knowledge in Python or R, is often required. Excellent problem-solving abilities, attention to detail, and clear communication are valuable soft skills in this position. These skills and qualities are crucial for effectively modeling, analyzing, and solving complex optimization problems that drive organizational decision-making.

What are the typical responsibilities of someone working in a Linear Programming role?

Professionals specializing in Linear Programming are responsible for developing mathematical models to optimize processes such as resource allocation, scheduling, or logistics. Their daily tasks often include collecting and analyzing data, formulating objective functions and constraints, coding and testing optimization algorithms, and interpreting solutions for practical implementation. Collaboration with cross-functional teams such as data analysts, engineers, and business stakeholders is common to ensure models accurately address real-world challenges. By transforming large and complex datasets into actionable insights, these professionals play a key role in improving efficiency and supporting data-driven decisions across industries.

What are the most commonly searched types of Linear Programming jobs in Chicago, IL? The most popular types of Linear Programming jobs in Chicago, IL are:
Infographic showing various Linear Programming job openings in Chicago, IL as of June 2026, with employment types broken down into 3% As Needed, 58% Full Time, 15% Part Time, 3% Temporary, 15% Contract, and 6% Nights. Highlights an 64% Physical, 7% Hybrid, and 29% Remote job distribution, with an average salary of $72,993 per year, or $35.1 per hour.

Senior Data Engineer - Scheduling & Decisions Systems

The Aspen Group

Chicago, IL

$129K - $152K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

he Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 23,000 healthcare professionals and team members at more than 1,150 locations across 48 states. Our five supported healthcare practices operate under the brands Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. We're committed to enabling healthcare professionals to focus on patient care while we handle the business operations that support them.

As part of our continued investment in data-driven innovation, we are looking for aSenior Data Engineerto join our growing team. In this high-impact role, you will architect and build the data backbone that powers our next-generation scheduling platforms and patient demand forecasting models. You will move beyond traditional reporting to build "intelligence pipelines"-systems that ingest real-time operational data, feed advanced optimization algorithms, and write actionable insights back into clinical workflows.

If you are passionate about using data to reduce patient wait times, optimize provider utilization, and ensure the right resources are available at the right time, this is the role for you.

Key Responsibilities

Hybrid Pipeline Architecture (Batch & Streaming)

  • Design event-driven pipelines that ingest live patient interactions to power real-time inference to be able to calculate various propensity scores depending on the stage of patient journey
  • Batch Processing: Maintain scalable batch processes for time-series analysis and other advanced statistical analysis as well as ML/LLM models that require heavy historical data aggregation and feature engineering
  • Patient Clustering: Build pipelines that aggregate clinical and behavioral attributes to support unsupervised learning (clustering) for patient segmentation which then might be used for different business use cases from scheduling to marketing
  • Scheduling Optimization: You will transform raw availability data into clean inputs for linear programming and constraint optimization solvers.
  • Partner with cross-functional stakeholders to translate business requirements into technical specifications for ML solutions.

System Architecture & Observability

  • Collaborate with Data Scientists and Operations Researchers to deploy forecasting and optimization models into production.
  • Build Feature Stores that serve consistent features to both training and inference environments.
  • Ensure the "reverse ETL" of model outputs-writing optimized schedules and recommended appointment slots back into operational systems for front-line staff to use.

Collaboration & Mentorship

  • Create clear, comprehensive documentation and support guides for newly implemented tools.
  • Provide technical guidance and mentorship to junior engineers and data scientists.
  • Stay current with advances in machine learning, data engineering, and software development, implementing industry best practices for reliability and maintainability.

Qualifications

Experience:

  • 5+ years of Data Engineering experience with a focus on Python and complex SQL.
  • Cloud Data Platform Mastery: Deep experience with AWS (Glue, Lambda, Kinesis), Azure (Data Factory, Synapse), or GCP (Dataflow, BigQuery).
  • Workflow Orchestration: Advanced proficiency with tools like Apache Airflow, Prefect, or Dagster.
  • Data Modeling: Experience designing dimensional models (Star Schema) and "One Big Table" structures for analytical performance.

Education:

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field.
  • Experience with scheduling, optimization algorithms, or decision-support systems.
  • Forecasting Knowledge: Familiarity with time-series data preparation (handling seasonality, lag features, moving averages).
  • Familiarity with responsible AI practices and governance.

*This role is onsite 4 days/week in our Chicago office (Fulton Market District)

  • A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match
  • Salary: $129,000-152,000/year