Explore 8 python data engineer jobs from 3 hiring companies in Depue, IL, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Data Engineer Jobs

Caterpillar

Komatsu

OSF HealthCare

Onsite

Hybrid

Career Area:Technology, Digital and DataJob Description:Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you&#39;re joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don&#39;t just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world.Job Summary: As a Software Engineer on the Data Engineering team, you will be responsible for developing Python data pipelines that build business data objects used to support applications. What You Will Do:Responsibilities of the incumbents are across functional lines with individuals assigned in new program development.<ul><li>Competent to perform all programming, project management, and development assignments without close supervision; normally assigned the more complex aspects of systems work.</li><li>Works directly on complex application/technical problem identification and resolution.</li><li>Interpreting design requirements for engineering implementation</li><li>Building and deploying CICD pipelines</li><li>Implementing source to target mapping as pipeline code</li><li>Responsibility for Unit and Integration testing</li><li>Maintains high standards of software quality within the team by establishing good practices and habits</li><li>Identifies and encourage areas for growth and improvement within the team.</li><li>Building engineering automations to improve development velocity and operational efficiency.</li><li>Employee is also responsible for performing other job duties as assigned by Caterpillar management from time to time.</li></ul>What You Will Have:<ul><li>Software Development: Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.</li><li>Software Development Life Cycle: Knowledge of software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace.</li><li>Software Product Design/Architecture: Knowledge of software product design; ability to convert market requirements into the software product design.</li><li>Software Product Technical Knowledge: Knowledge of technical aspects of a software products; ability to design, configure and integrate technical aspects of software products.</li><li>Software Product Testing: Knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements.</li></ul>Considerations For Top Candidates:<ul><li>Extensive software development experience and solid working knowledge of OOP principles (typically 5&#43; years).</li><li>Experience in designing and developing software applications in Python (typically 4&#43; years).</li><li>Experience working with Git version control on medium to large teams.</li><li>Exceptional communication skills with experience working on a cross functional team.</li><li>Deploying software using CI/CD tools such as Github Actions, Azure Devops etc.</li><li>Experience with AWS components such as Lambda, Kinesis, Event Bridge, CloudWatch, CloudFormation, Dynamo, Fargate, S3, Sage Maker, IAM and RDS</li><li>Experience working with Snowflake.</li><li>Hands‑on experience with GenAI developer tools Practical usage of tools such as GitHub Copilot or Claude Code, or similar AI coding assistants to improve developer productivity, code quality, and delivery speed.</li><li>Ability to learn and adapt in a rapidly evolving space Demonstrates curiosity and continuous learning as GenAI tools, frameworks, and best practices evolve quickly.</li><li>Applied knowledge of GenAI tools in real use cases Proven experience applying GenAI to solve real business or engineering problems (e.g., data processing, automation, assistants, recommendations, or decision support).</li><li>Understanding of Lang Chain and Lang Graph frameworks.</li></ul>Additional Information:This position will have the option to be based out of our Chicago, IL; Peoria, IL or Irving, TX offices. What You Will Get:Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We’ve created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us.About Caterpillar Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.<h3></h3><h3></h3>Summary Pay Range:$97,530.00 - $158,480.00Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits:Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.<ul><li>Medical, dental, and vision benefits*</li><li>Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</li><li>401(k) savings plans*</li><li>Health Savings Account (HSA)*</li><li>Flexible Spending Accounts (FSAs)*</li><li>Health Lifestyle Programs*</li><li>Employee Assistance Program*</li><li>Voluntary Benefits and Employee Discounts*</li><li>Career Development*</li><li>Incentive bonus*</li><li>Disability benefits</li><li>Life Insurance</li><li>Parental leave</li><li>Adoption benefits</li><li>Tuition Reimbursement</li></ul>       * These benefits also apply to part-time employees<h3></h3><h3></h3><h3></h3><h3></h3><h3></h3>Visa Sponsorship is not available for this position.<h3></h3><h3></h3>Posting Dates:April 15, 2026 - April 26, 2026Any offer of employment is conditioned upon the successful completion of a drug screen.      Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities.  Qualified applicants of any age are encouraged to apply.Not ready to apply? Join our <a href="http://flows.beamery.com/caterpillarinc/talcom" target="_blank">Talent Community</a>.

Data Engineer, Cat Digital Data & AI

Data Engineer

Python data pipelines, CI/CD, AWS components, Snowflake; Git; GenAI tools; LangChain knowledge.

Career Area:Technology, Digital and DataJob Description:Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you&#39;re joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don&#39;t just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.Caterpillar Inc. seeks Data Specialist at its facility located at 100 Sanford Street, East Peoria, IL 61611. Employ data analytics to assess technical performance and recommend system enhancements. Analyze customer requirements, ensuring solutions conform to models while being implementable and maintainable. Identify data inaccuracies within large datasets of diverse formats. Research, design, and document data specifications throughout the production lifecycle. Demonstrate proficiency in software development, web technologies, SQL, and other data programming languages. Explain the importance of Value Realization milestones for long-term projects and measure and attain post-project implementation value. Identify process changes or business value integration in change initiative plans and activities. Communicate connections between change initiatives and associated goals and cases. Describe agile process, including checkpoints and deliverables. Apply agile development methodology, interpreting metrics used to measure progress and effectiveness. Define key selection and qualifying criteria for projects suitable for agile development. Utilize major tools and techniques associated with specific methodologies. Work with cloud service models, such as Infrastructure as a Service (IaaS) or Software as a Service (SaaS). Follow established procedures to define client requirements for cloud services. Implement cloud service models, including IaaS, SaaS, or Serverless computing. Execute tasks under supervision to increase capacity or add capabilities through cloud computing. Document and resolve basic cloud security issues. Research relationships between business data sets and establish structured data relationships. Adhere to organization database design policies, utilizing appropriate tools and techniques. Test database effectiveness before release for business use. Verify data accuracy and integrity in warehouse systems. Load data into the warehouse regularly. Derive business or technical insights from raw data. Acquire large volumes of data from different sources and systems. Address technical and administrative challenges encountered during the ETL process. Assist in the installation, configuration, and support of information management software. Develop backup, recovery, and archival practices. Analyze issues and requirements for managing information resources. Design value chain that achieves customer availability requirements and internal financial commitments for Drivetrain components manufactured globally. Work with a global network of Manufacturing, Supply Chain, Procurement, Engineering, Business Resources, and IT professionals to solve complex problems and drive business solutions. Develop, deploy, and maintain digital tools designed to address business problems. REQS: This position requires a bachelor’s degree or foreign equivalent in Mechanical Engineering, Data Science, Analytics or a related field and 2.5 years of experience as a Data Specialist, Data Analyst, Data Scientist, or related occupation in data analytics. Additionally, the applicant must have employment experience with: (1) Extraction, transformation and loading (ETL) process, and/or developing databases through the ETL process in Snowflake and Python; (2) Designing, deploying and implementing cloud computing solutions which connect supply chain, manufacturing, engineering, and purchasing data models; (3) Operations, supply chain, and purchasing to build inventory models; (4) PowerPoint, PowerBi, and Excel to make data driven business proposals; (5) Snowflake data base architecture development and access management; (6) 1 year of experience with Operations, Supply Chain, or Purchasing and (7) 2.5 years of experience working with drivetrain components, BOM (Bill of Materials) structures, and mechanical engineering drawings. Telecommuting: None. Travel: None.Applicants who are interested in this position should apply via <a href="http://www.caterpillar.com/careers" target="_blank">www.caterpillar.com/careers</a>, search [Data Specialist / R0000360456]. #LI-DNI<h3></h3><h3></h3>Summary Pay Range:$89,210.00 - $133,810.00Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits:Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.<ul><li>Medical, dental, and vision benefits*</li><li>Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</li><li>401(k) savings plans*</li><li>Health Savings Account (HSA)*</li><li>Flexible Spending Accounts (FSAs)*</li><li>Health Lifestyle Programs*</li><li>Employee Assistance Program*</li><li>Voluntary Benefits and Employee Discounts*</li><li>Career Development*</li><li>Incentive bonus*</li><li>Disability benefits</li><li>Life Insurance</li><li>Parental leave</li><li>Adoption benefits</li><li>Tuition Reimbursement</li></ul>       * These benefits also apply to part-time employees<h3></h3><h3></h3>This position requires working onsite five days a week.<h3></h3><h3></h3><h3></h3>Visa Sponsorship is not available for this position.<h3></h3><h3></h3>Posting Dates:March 28, 2026 - July 28, 2026Any offer of employment is conditioned upon the successful completion of a drug screen.      Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities.  Qualified applicants of any age are encouraged to apply.Not ready to apply? Join our <a href="http://flows.beamery.com/caterpillarinc/talcom" target="_blank">Talent Community</a>.

Data Specialist

Bachelor’s degree in Mechanical Engineering, Data Science, Analytics or related field; 2.5 years in data analytics; ETL with Snowflake and Python; cloud data solutions; SQL; Power BI and Excel.

Career Area:Technology, Digital and DataJob Description:Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you&#39;re joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don&#39;t just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics and AI capabilities to help our customers build a better, more sustainable world.Job Summary:Join the AI Research &amp; Development team of Cat Digital and play a central role in advancing the frontier of applied AI for one of the world&#39;s largest industrial enterprises. As a Senior Data Scientist, you will design, build, and evaluate cutting-edge AI systems, spanning generative AI, large language models (LLMs), multimodal intelligence, retrieval-augmented generation (RAG), and autonomous agents, delivering high-impact Proofs of Concept (POCs) with clear production intent while exploring longer-horizon research opportunities.What You Will Do:<ul><li>Design and execute AI experiments across the full model lifecycle: hypothesis formulation, data preparation, model development, evaluation, and iteration, maintaining research rigor in an ambiguous, fast-moving environment.</li><li>Develop, fine-tune, and benchmark LLMs and multimodal AI models (text, vision, speech), including systematic evaluation of quality, latency, cost, and safety tradeoffs across model variants and providers.</li><li>Explore and optimize knowledge retrieval systems (RAG pipelines, vector databases, hybrid search) and agentic workflows, ensuring relevance, accuracy, and scalability for enterprise use cases.</li><li>Lead data preparation workstreams for model training, fine-tuning, and validation, including dataset curation, labeling strategy, synthetic data generation, and quality assurance.</li><li>Instrument AI systems for observability and reproducibility using experiment tracking frameworks (e.g., Langfuse, MLflow), maintaining clear documentation of model versions, evaluation datasets, and performance baselines.</li><li>Translate research findings into production-ready prototypes, collaborating with Engineering and Product teams to define technical requirements, integration paths, and deployment readiness criteria.</li><li>Evaluate emerging AI capabilities and tools (open-source and commercial), providing structured assessments and recommendations to inform the team&#39;s technology strategy.</li><li>Mentor and coach junior Data Scientists, establishing best practices for experimentation, model evaluation, and responsible AI development across the team.</li><li>Communicate insights and results to technical and non-technical stakeholders, including product managers, engineers, and senior leadership, with clarity and business impact framing.</li></ul>What You Will Have:<ul><li>Applied Statistics &amp; Quantitative Methods: Experience applying statistical thinking to experimentation, evaluation, and decision‑making in ambiguous, research‑driven environments.  </li><li>Analytical Rigor &amp; Attention to Detail: Proven ability to design precise experiments, validate assumptions, and ensure accuracy and reproducibility of results.  </li><li>Advanced Machine Learning &amp; AI: Knowledge of modern ML techniques, including deep learning, generative AI, NLP, computer vision, and multimodal systems, with hands‑on implementation experience.  </li><li>Model Evaluation &amp; Optimization: Strong experience evaluating model quality and system‑level tradeoffs across accuracy, latency, cost, and scalability dimensions.  </li><li>Programming Expertise: Proficiency in Python for AI and ML development, including use of modern AI frameworks and tooling.  </li><li>Data Engineering &amp; Access: Strong understanding of data storage, retrieval, and processing systems required to support large‑scale training and experimentation workflows.  </li><li>Requirements &amp; Systems Thinking: Ability to define technical and non‑functional requirements that bridge research, engineering, and production concerns.</li></ul>Considerations for Top Candidates:<ul><li>Bachelor’s, Master’s, or PhD degree in Data Science, Computer Science, Machine Learning, Statistics, Applied Mathematics, Engineering, or a closely related technical field.  </li><li>Proven experience building and deploying advanced ML models beyond traditional analytics use cases.  </li><li>Extensive proficiency in Python (NumPy, Pandas, PyTorch, LangChain, etc.); ability to write clean, maintainable, production-oriented code and contribute to shared AI infrastructure.</li><li>Strong hands‑on experience with generative AI, large language models, deep neural networks, and modern ML frameworks.  </li><li>Demonstrated experience designing evaluation frameworks and benchmarks for AI systems.  </li><li>Familiarity with AI infrastructure, cloud platforms (AWS, Azure), and scalable experimentation environments.  </li><li>Advanced experience with version control, experiment tracking, and collaborative development (e.g., Git‑based workflows).  </li><li>Experience working in Agile, cross‑functional product development environments.  </li><li>Prior exposure to industrial, manufacturing, heavy equipment, or complex physical systems is a strong plus, but not required.  </li></ul><h3></h3><h3></h3>Summary Pay Range:$112,710.00 - $183,140.00Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits:Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.<ul><li>Medical, dental, and vision benefits*</li><li>Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</li><li>401(k) savings plans*</li><li>Health Savings Account (HSA)*</li><li>Flexible Spending Accounts (FSAs)*</li><li>Health Lifestyle Programs*</li><li>Employee Assistance Program*</li><li>Voluntary Benefits and Employee Discounts*</li><li>Career Development*</li><li>Incentive bonus*</li><li>Disability benefits</li><li>Life Insurance</li><li>Parental leave</li><li>Adoption benefits</li><li>Tuition Reimbursement</li></ul>       * These benefits also apply to part-time employees<h3></h3><h3></h3><h3></h3><h3></h3><h3></h3>Visa Sponsorship is not available for this position.<h3></h3><h3></h3>Posting Dates:April 28, 2026 - May 8, 2026Any offer of employment is conditioned upon the successful completion of a drug screen.      Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities.  Qualified applicants of any age are encouraged to apply.Not ready to apply? Join our <a href="http://flows.beamery.com/caterpillarinc/talcom" target="_blank">Talent Community</a>.

Senior Data Scientist - Artificial Intelligence R&D

Data Scientist

Experience in AI/ML, large language models, multimodal AI, retrieval systems, Python, ML tooling, and data engineering for production-ready prototypes.

Career Area:Technology, Digital and DataJob Description:Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you&#39;re joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don&#39;t just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.Your Work Shapes the World at Caterpillar Inc.Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world.Job Summary: eCommerce is a key digital enabler to Caterpillar’s aftermarket parts and services growth strategy. Delivering on the Caterpillar brand promise of premium, high-quality solutions is an important element in accelerating the development and deployment of Caterpillar’s expanded capabilities in eCommerce.The Lead data scientist – Search is responsible for building the core search AI/ML/LLM models and overseeing the execution of advanced search algorithms. This role combines strategic vision, hands-on AI/ML expertise, and leadership to build scalable, high-performance search algorithms that deliver exceptional user experiences. If you want to enhance customer search experiences and lead scalable platforms, this role lets you make a significant impact. What You Will Do:<ul><li>Technical Strategy: Define and implement a long-term technical vision for the search platform to ensure scalability and adaptability to growing data volumes and query complexity.</li><li>Team Leadership: Mentor and guide a team of search engineers through technical reviews, best practices, and collaborative problem-solving.</li><li>Feature Development: Introduce advanced capabilities such as NLP, vector search, and personalization to enhance relevance and accuracy.</li><li>Data Analysis &amp; Optimization: Build search capabilities with measurable KPIs (e.g., CTR, Query Distribution, Zero Search) and leverage analytics to continuously improve search performance.</li><li>Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to align search initiatives with business objectives</li></ul>Algorithm Development &amp; Modeling<ul><li>Optimization: Profile and tune deep learning algorithms for maximum search efficiency for keyword matching, user data and behavior, preferences, popularity, and more.</li><li>Behavioral Models:  Profile the end-users’ behaviors and signals and fine-tune models to reflect to rearrange the search facet values</li><li>Context Models: Leverage AI/MI/LLM models to Discern User Intent and capture in relevant search categories</li><li>Categorization Models to build fitment recommendation with engineering information</li><li>Personalization models: Rule based segmentation, ML based recommendation models, PFM – SSL models and Implicit Personalization models to enhance the search</li></ul> What You Will Have:<ul><li>Search AI/ML Models : Strong track record to deploy Search related ML models in large industrial /automobile / Manufacturing parts application (Learning-Rank, Lambda MART, Deep Ranking Models )</li><li>Generative AI &amp; LLMs: Proficiency in Fine-tuning and Prompt Engineering for Large Language Models, specifically using Retrieval-Augmented Generation (RAG), Indexing models BM25, Sematic Retrieval, Query rewrite etc</li><li>ML Platform Experience: Proven ability to work with large-scale search logs, Product data and build robust future/label pipelines and deploy models thru MLOps/ML platforms and API’s in Cloud environment (AWS/Azure/GCP)</li><li>Business Statistics: Extensive experience with statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.</li><li>Analytical Thinking: Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.</li><li>Programming Languages: Extensive knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms to write and modify programming languages.</li><li>Requirements Analysis: Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.</li></ul>Considerations for Top Candidates:<ul><li>Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence &amp; Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree</li><li>Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges.</li><li>Extensive experience with advanced data analysis, machine learning such as clustering, Log regressions, neural nets and statistical methods such as statistical process control, etc. (typically 5&#43; years)</li><li>Experience in practical applications of onboard architecture / software (e.g. mini projects using Raspberry Pi or any other architecture is a bonus)</li><li>Working experience with heavy equipment engineering or data analysis.</li><li>Familiarity with A/B testing frameworks for evaluating and improving model-driven features - nice to have</li><li>Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.)</li><li>Advanced experience with version control / repositories such as GitHub</li><li>Experience operating in an Agile environment</li><li>Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.</li></ul>What You Will Get:Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We’ve created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us.About Caterpillar:Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.<h3></h3><h3></h3>Summary Pay Range:$128,470.00 - $208,770.00Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits:Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.<ul><li>Medical, dental, and vision benefits*</li><li>Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</li><li>401(k) savings plans*</li><li>Health Savings Account (HSA)*</li><li>Flexible Spending Accounts (FSAs)*</li><li>Health Lifestyle Programs*</li><li>Employee Assistance Program*</li><li>Voluntary Benefits and Employee Discounts*</li><li>Career Development*</li><li>Incentive bonus*</li><li>Disability benefits</li><li>Life Insurance</li><li>Parental leave</li><li>Adoption benefits</li><li>Tuition Reimbursement</li></ul>       * These benefits also apply to part-time employees<h3></h3><h3></h3><h3></h3><h3></h3>Relocation is available for this position.<h3></h3>Visa Sponsorship is not available for this position.<h3></h3><h3></h3>Posting Dates:April 22, 2026 - April 26, 2026Any offer of employment is conditioned upon the successful completion of a drug screen.      Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities.  Qualified applicants of any age are encouraged to apply.Not ready to apply? Join our <a href="http://flows.beamery.com/caterpillarinc/talcom" target="_blank">Talent Community</a>.

Lead Software Engineer - Search

Lead Data Scientist

Lead data scientist with AI/ML search, NLP, vector search, leadership; strong Python; cloud platforms; agile.

Total Rewards "Your life - our Mission"OSF HealthCare is dedicated to provide Mission Partners with a comprehensive and market-competitive total rewards package that includes benefits, compensation, recognition and well-being offerings that focus on the whole person and engage with their current stage of life and career. <a href="https://www.osfcareers.org/benefits" target="_blank" rel="noopener">Click here</a> to learn more about benefits and the total rewards at OSF. The hourly rate for this position is $18.00/hour This is an Hourly position. Overview POSITION SUMMARY: This is an entry-level internship designed to give early-career professionals hands-on experience with real data, tools, and workflows used in modern data science. The internship will be project-based, allowing the intern to take ownership of a specific initiative from start to finish. While support and guidance will be available from two experienced data team members, the role is structured to encourage independent, self-driven work. Interns will explore datasets, build models, and generate insights that support real business decisions, making this a great opportunity for students or recent graduates to apply their classroom knowledge in a practical and impactful setting. Qualifications REQUIRED QUALIFICATIONS: Junior or Senior level student attending college or university pursuing Associate, Bachelor's, or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field<ul style="margin-top: 0in;"><li>Solid understanding of basic statistics, probability, and data analysis techniques.</li><li>Experience with Python or R for data manipulation and analysis</li><li>Basic knowledge of machine learning concepts such as regression, classification, and clustering.</li><li>Strong analytical thinking and problem-solving skills.</li><li>Ability to clearly communicate findings and work collaboratively in a team environment.</li><li>Solid computer skills, including proficiency with Microsoft software</li></ul>PREFERRED QUALIFICATIONS: Familiarity with SQL for querying relational databases.Exposure to data visualization. Experience working with real-world datasets (e.g., from Kaggle, public APIs, or coursework). Understanding of data cleaning and preprocessing workflows. OSF HealthCare is an Equal Opportunity Employer.

Data Science Internship

Pursuing degree in data science, computer science, statistics, mathematics, engineering, or related field; knowledge of statistics; Python or R; basic ML concepts; strong analytics and communication.

Join Komatsu and Be Part of Something Big!<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Job Overview</H2></div><div>As a Design Engineer with a Reliability Focus within Komatsu’s Vehicle Development Group, you will be responsible for the mechanical design and development of components and systems for electric drive mining trucks, while also applying reliability insights to improve product robustness over time.
This role is first and foremost a design engineering position, with full ownership of CAD models, drawings, and production releases. In addition, the role leverages reliability data, field performance information, and analytical skills to help define design requirements, guide design decisions, and establish methods to track reliability performance over the product lifecycle (1, 2, and 3+ years).</div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Key Job Responsibilities</H2></div><div><ul>
<li>Design and develop mechanical components and systems from concept through production release, meeting performance, reliability, manufacturability, and cost targets.</li>
<li>Create, modify, and maintain 3D CAD models and detailed engineering drawings in accordance with Komatsu standards and best practices.</li>
<li>Own designs through the full development cycle, including concept selection, detailed design, validation, production release, and post-release support.</li>
<li>Evaluate loads, interfaces, materials, tolerances, and environmental conditions to ensure designs are robust and fit for real-world mining applications.</li>
<li>Present and defend design concepts, trade studies, and recommendations to peers, stakeholders, and leadership.</li>
<li>Analyze existing reliability, warranty, and field performance data to identify trends, recurring failure modes, and systemic design risks.</li>
<li>Translate reliability insights into clear, actionable design requirements and design guidelines for new developments.</li>
<li>Partner with reliability, quality, and data teams to process and interpret large datasets related to component and system performance.</li>
<li>Support design risk identification activities such as DFMEAs, design reviews, and risk assessments, with emphasis on learning from historical data.</li>
<li>Help define metrics, dashboards, and methods to track reliability performance over time horizons such as 1-year, 2-year, and 3-year service life.</li>
</ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Qualifications/Requirements</H2></div><div><ul>
<li>BS in Mechanical Engineering or related field (MS preferred).</li>
<li>5+ years of experience in mechanical design engineering, preferably in heavy equipment, mining, construction, or industrial machinery.</li>
<li>Strong experience with 3D CAD modeling and engineering drawing release.</li>
<li>Demonstrated ability to analyze data and use objective evidence to inform engineering decisions.</li>
<li>Working knowledge of reliability concepts such as failure modes, lifecycle performance, and design margins.</li>
<li>Strong written and verbal communication skills.</li>
<li>Experience working with reliability, warranty, or field performance datasets.</li>
<li>Comfort processing and interpreting large datasets using tools such as Excel, Power BI, Python, or similar.</li>
<li>Familiarity with DFMEA, root cause analysis, basic reliability metrics</li>
<li>Experience applying Crow-AMSAA reliability growth model during development testing</li>
<li>Exposure to mining or construction equipment field environments.</li>
<li>Professional Engineer (P.E.) or Certified Reliability Engineer (CRE) certification is a plus.</li>
</ul>
 </div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Additional Information</H2></div><div></div></div></div> 
Hiring Range 
At Komatsu, your base pay is one part of your total compensation package. This role pays $110,000 - $135,00. The actual offer will consider a wide range of factors, including experience and location.
 
Company Benefits 
Komatsu provides an extensive and robust employee benefits package that is designed to enhance the well-being of our employees and family members. We embrace a positive and empowering employee experience with a culture that prides itself on a diverse and inclusive environment.
<ul>
<li>Health benefits: Medical, dental, vision, HSA, wellness programs, etc.</li>
<li>401k and/or employee savings programs</li>
<li>Employee time off (vacation and designated holidays)</li>
<li>Employee and family assistance programs</li>
<li>Disability benefits</li>
<li>Life insurance</li>
<li>Employee learning and development programs</li>
</ul>
 
Diversity &amp; Inclusion Commitment 
At Komatsu, we come from diverse backgrounds, with unique perspectives, experiences and contributions.  We believe that our people are part of our shared purpose. Connected by our core values of ambition, perseverance, collaboration and authenticity, we are committed to continually advancing in our support of diversity and inclusion. United, we are on a journey towards a sustainable future that creates value together.  
 
Company Information 
Komatsu develops and supplies technologies, equipment and services for the construction, mining, forklift, industrial and forestry markets. Headquartered in Tokyo, Japan, Komatsu employs more than 64,000 people worldwide, operating in more than 140 countries. For more than a century, the company has been creating value for its customers through manufacturing and technology innovation, partnering with others to empower a sustainable future where people, business and the planet thrive together. Since the company’s founding in 1921, Komatsu has been committed to supporting individuals and communities through job training, skills development and giving back. As a Komatsu employee, you will be encouraged to grow alongside our global company, contributing to a more sustainable future for all. If you are looking for a company that values your talent and potential, join Komatsu to be a part of something big and help advance modern society. Learn more at <a href="http://www.komatsu.com/" target="_blank" rel="noreferrer noopener">www.komatsu.com</a>.  
 
EEO Statement 
Komatsu is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Senior Mechanical Engineer - New Product Development (Peoria, IL, US, 61639)

Mechanical Engineer

BS in Mechanical Engineering; 5+ years design engineering; CAD and drawing release; reliability/data analysis; DFMEA experience; ability to handle large data sets; corrosion of mining/industrial equipment; PE or CRE a plus.

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