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Entry Level Python Programmer Jobs in Elgin, IL (NOW HIRING)

Point72

Cubist Quantitative Researcher

Chicago, IL · On-site

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... Programming in Python (or comparable language) and working knowledge of SQL * Strong analytical and ...

Pwc

AI & GenAI Data Scientist - Manager

Chicago, IL · On-site

$99K - $232K/yr

... programming languages such as Python and Java to enhance AI model deployment - Overseeing the ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Rosemont, IL · On-site

$99K - $232K/yr

... programming languages such as Python and Java to enhance AI model deployment - Overseeing the ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Medline

Associate Linux Administrator

Northbrook, IL

$67K - $101K/yr

Job Summary The Associate Linux System Administrator is an entry level role responsible to assist ... programming, has the ability to write scripts and code Grasps the Cloud Concepts, familiarity with ...

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Entry Level Python Programmer information

See Elgin, IL salary details

$40

$67

$81

How much do entry level python programmer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for entry level python programmer in Elgin, IL is $67.32, according to ZipRecruiter salary data. Most workers in this role earn between $61.78 and $71.30 per hour, depending on experience, location, and employer.

What does an Entry Level Python Programmer do?

An Entry Level Python Programmer is responsible for writing, testing, and debugging simple Python code under the guidance of more experienced developers. They often assist with basic programming tasks, such as data manipulation, automation scripts, or web development using Python frameworks. Their main goal is to support projects while learning and improving their coding skills on the job. Entry level programmers commonly collaborate with team members, follow coding standards, and help troubleshoot software issues.

What is the difference between Entry Level Python Programmer vs Data Analyst?

AspectEntry Level Python ProgrammerData Analyst
Required SkillsPython, basic programming, scriptingExcel, SQL, data visualization, some Python
CertificationsNone required, but Python certifications helpfulNone required, but data analysis certifications beneficial
Work EnvironmentTech companies, startups, software firmsBusiness, finance, healthcare, consulting
Typical TasksWriting scripts, debugging, automationData collection, cleaning, analysis, reporting

While both roles involve working with data and programming, Entry Level Python Programmers focus on coding and automation using Python, often in tech environments. Data Analysts utilize Python alongside other tools to interpret data and generate insights in various industries. The roles overlap in technical skills but differ in primary responsibilities and industry focus.

What types of projects do entry level Python programmers typically work on, and how do these projects support career development?

Entry level Python programmers often start by working on tasks like writing scripts to automate repetitive processes, assisting with data cleaning for analytics teams, or contributing to the maintenance and debugging of existing codebases. These projects are designed to build foundational skills in coding, version control, and collaboration within a software development team. As you gain experience and demonstrate your abilities, you may be given opportunities to take on more complex assignments, such as developing new features or participating in code reviews, which can significantly support your professional growth.

What are the key skills and qualifications needed to thrive as an Entry Level Python Programmer, and why are they important?

To thrive as an Entry Level Python Programmer, a solid understanding of Python fundamentals, basic algorithms, and problem-solving skills is essential, typically backed by a degree in computer science or relevant coursework. Familiarity with code versioning tools like Git, simple database systems such as SQLite or MySQL, and common frameworks like Flask or Django is often required. Attention to detail, eagerness to learn, and effective communication help individuals adapt and contribute to team projects. These skills and qualities are vital for writing reliable code, collaborating efficiently, and growing in a fast-paced tech environment.
What are popular job titles related to Entry Level Python Programmer jobs in Elgin, IL? For Entry Level Python Programmer jobs in Elgin, IL, the most frequently searched job titles are:
What cities near Elgin, IL are hiring for Entry Level Python Programmer jobs? Cities near Elgin, IL with the most Entry Level Python Programmer job openings:
Entry Level Python Programmer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Darwill, Inc.

Oakbrook Terrace, IL • On-site

Full-time

Posted 28 days ago

Job description

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING)
Overview
Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of complex, data-driven marketing solutions, we help CMOs and marketing leaders drive measurable performance through advanced analytics, automation, and AI-powered insights.
We are seeking a Machine Learning Engineer (MLOps) to support the productionization of traditional machine learning models (e.g., propensity and segmentation models) while also building and maintaining the core data pipelines on Databricks that power our analytics and modeling platforms.
This role is intentionally scoped for a mid-level engineer: someone with enough experience to work independently and make sound engineering decisions, but who is still hands-on, execution-focused, and eager to grow. This is not an entry-level position, and it is not a principal or architect-level role..
Location
Chicago, IL area (Oak Brook / West Suburbs)
Hybrid work model with 1-2 days onsite per week required
Reports To
VP of Data Engineering & Data Science
Responsibilities / Essential Functions
Data Engineering & Platform Foundations
  • Design, build, and maintain ETL pipelines in Databricks using Spark and Delta Lake
  • Independently implement data transformations, joins, and aggregations across large, multi-source datasets
  • Build and maintain data validation and quality checks to ensure reliability of downstream analytics and ML workflows
  • Optimize Databricks jobs for performance, scalability, and cost efficiency
  • Write and maintain clear technical documentation for data pipelines and tables

ML Engineering & MLOps
  • Partner closely with Data Scientists to support traditional ML model development, including feature engineering, training, validation, and deployment
  • Productionize propensity, ranking, and segmentation models used in large-scale marketing campaigns
  • Build and maintain repeatable ML pipelines for training, batch scoring, and inference
  • Implement model versioning, experiment tracking, and reproducibility standards
  • Support model performance monitoring, drift detection, and retraining cycles

Deployment, Monitoring & Operations
  • Deploy data pipelines and ML workflows into production environments serving millions of records
  • Implement monitoring and alerting for data and ML pipelines
  • Support A/B testing and model performance evaluation in partnership with Data Science
  • Troubleshoot production issues independently and collaborate effectively when escalation is needed

GenAI (Secondary / Directional)
  • Contribute to GenAI initiatives as capacity allows
  • Stay informed on emerging AI technologies and tooling
    (GenAI is not the primary focus of this role today.)

Required Qualifications
Experience
  • 3-6 years of professional experience in machine learning engineering, data engineering, or a closely related role
  • Experience working in production environments with minimal day-to-day supervision
  • Demonstrated ability to collaborate effectively with Data Scientists and translate models into production systems

Technical Skills (Must-Have)
Data Engineering & Platform
  • Apache Spark (PySpark, SparkSQL)
  • Databricks (ETL pipelines, workflows, Delta Lake)
  • Strong SQL skills (complex queries, joins, window functions, optimization)
  • Experience building and maintaining scalable data pipelines

Programming & Machine Learning
  • Python (pandas, numpy, scikit-learn; experience with XGBoost or LightGBM preferred)
  • Feature engineering and data preparation for ML models
  • Working knowledge of supervised learning models (classification, regression, ranking)

MLOps & Production
  • Experience deploying ML models into production
  • Model versioning and experiment tracking (e.g., MLflow or similar)
  • Monitoring data quality and model performance in production
  • Supporting retraining and validation workflows

Cloud & Tooling
  • Experience with a major cloud platform (Databrick, AWS)
  • Familiarity with workflow orchestration tools (Databricks Workflows or similar)

Preferred Qualifications (Nice-to-Have)
  • Experience with propensity modeling, customer segmentation, or marketing analytics
  • Exposure to CI/CD concepts for data and ML pipelines
  • Experience with Docker or containerized deployments
  • Exposure to GenAI, LLMs, or RAG-based systems
  • Master's degree in Computer Science, Statistics, or a related field

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