Explore 2 python cloud platform developer jobs from 2 hiring companies in Marquette Heights, IL, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Cloud Platform Developer

East Peoria

Pekin

Peoria

North Peoria

Morton

Creve Coeur

Bartonville

Washington

North Pekin

Canton

Bloomington

Normal

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Galesburg

Eureka

Chillicothe

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Germantown Hills

Python Cloud Platform Developer Jobs

Caterpillar

Onsite

<h1>About Us </h1><h3>We’re not like other insurance companies. From our specialty products to our business model, our culture to our results — we’re different. Different is who we are, and how we work, interact, deliver and succeed together. Creating a different and better insurance experience doesn’t just happen. It takes focus and a shared passion for going beyond the expected to forge relationships and deliver care that makes a difference. This approach rises from and is supported by our talented, ethical and smart team of employee owners united around a single purpose: to work alongside our customers and partners when they need us, in unexpected ways, with exceptional results. Apply today to make a difference with us. </h3><h3>RLI is a <a target="_blank" href="http://www.glassdoor.com/Reviews/RLI-Reviews-E556.htm">Glassdoor Best Places to Work</a> company with a strong, successful background. For decades, our financial track record has been stellar — a testament to our culture and validation of our reputation as an excellent underwriting company.</h3>Position Purpose  RLI is seeking a collaborative and driven Data Engineer to join our Data &amp; Analytics team. You will be responsible for designing, building, and delivering scalable, end-to-end data solutions—from ingestion through data product creation and distribution to consumers via self-service and other analytic/reporting applications.You will partner with team members and business stakeholders to understand use cases and key requirements and translate them into high-value solutions, aligned to our strategy, vision and business priorities. You will deliver work iteratively, refining solutions based on feedback and evolving requirements. You will contribute to solution design within established architectural patterns while taking a product-oriented approach—balancing speed and quality to continuously improve business impact.In this role, you will design and deliver value-driving decision-support solutions, influence best practices, and contribute to the evolution of our data platform.If you&#39;re passionate about data, embrace new challenges and continuous learning, and thrive in an agile, fast-paced environment, we’d love to hear from you!Principal Duties &amp; Responsibilities<ul><li>Design, build, and optimize end-to-end data pipelines across ingestion, transformation, modeling, and distribution layers </li></ul><ul><li>Partner closely with team members and stakeholders to ensure solutions address customer needs, deliver measurable business value, and align to product objectives</li><li>Translate business requirements into scalable and maintainable technical solutions  </li></ul><ul><li>Contribute to solution design decisions within established enterprise architectural patterns  </li></ul><ul><li>Leverage AI-assisted engineering tools to accelerate development, automate tasks, and improve documentation (with validation of outputs)  </li></ul><ul><li>Ensure changes to data pipelines and models are validated, documented, and communicated prior to release </li></ul><ul><li>Ensure data reliability, quality, and accessibility across systems and data products, including monitoring SLAs where appropriate  </li></ul><ul><li>Troubleshoot and resolve complex data and system issues, including root cause analysis  </li></ul><ul><li>Optimize performance, scalability, and cost efficiency of pipelines and data products  </li></ul><ul><li>Collaborate with other engineers through design collaboration and code reviews </li></ul> Critical Skills <ul><li>Advanced proficiency in SQL and strong engineering capability in Python </li></ul><ul><li>Hands-on experience with Snowflake or a similar cloud-native data platform  </li></ul><ul><li>Strong experience with Git-based version control, including branching strategies, pull requests, and code review practices </li></ul><ul><li>Strong understanding of data modeling, data quality, and governance practices  </li></ul><ul><li>Experience building and optimizing scalable, reliable data pipelines, and curated data products </li></ul><ul><li>Experience with performance tuning, system optimization, and troubleshooting  </li></ul><ul><li>Familiarity with AI-assisted development tools and integrating AI-enabled components where appropriate </li></ul><ul><li>Ability to translate business problems into data solutions  </li></ul><ul><li>Comfortable with unstructured, semi-structured data, and APIs  </li></ul>Experience in the insurance or financial services industries is a plus Experience with Snowflake Intelligence and Row Zero is a plus  Key Competencies <ul><li>Operates independently while adhering to established engineering standards, driving work forward in complex and evolving environments </li></ul><ul><li>Applies critical thinking to solve complex challenges and anticipates scalability, performance, and integration risks early </li></ul><ul><li>Identifies opportunities to improve engineering practices, patterns, and overall solution quality </li></ul><ul><li>Uses automation and AI-assisted approaches to improve delivery speed, quality, and decision-making </li></ul><ul><li>Works effectively across engineering, analytics, product and business teams; communicates technical decisions and tradeoffs clearly </li></ul><ul><li>Supports and mentors other engineers through hands-on collaboration </li></ul>Education &amp; Experience <ul><li>Bachelor’s degree in Data Analytics, Data Engineering, Data Science, or related field  </li></ul><ul><li>4&#43; years of relevant experience in data engineering or related disciplines  </li></ul><ul><li>Equivalent combination of education and experience will be considered  </li></ul>Additional Information <ul><li>Authorization: Applicants must be authorized to work for ANY employer in the U.S. </li></ul><ul><li>No Visa Sponsorship is provided for this position. </li></ul><ul><li>Location: This position is available on-site in Peoria, IL or Chicago, IL. </li></ul>Why You Should Apply <ul><li>Growth Opportunities: This role offers potential for career growth within the team and across the organization. You’ll have the chance to work on cutting-edge technologies and scale data solutions that directly impact business decision-making. </li></ul><ul><li>Collaborative Culture: RLI fosters a supportive and team-oriented environment where diverse perspectives are valued. Work alongside talented professionals in an agile, cross-functional environment where your contributions are valued and where collaboration drives success.  </li></ul><h1>Compensation Overview</h1><h3>The base salary range for the position is listed below. Please note that the base salary is only one component of our robust total rewards package at RLI. The salary offered will take into account a number of factors including, but not limited to, geographic location, experience, scope &amp; responsibilities of the role, qualifications/credentials, talent availability &amp; specialization, as well as business needs. The below range may be modified in the future. </h3><h2>Base Pay Range</h2>$96,264.00 - $137,657.00<h1>Total Rewards</h1><h3>At RLI, we&#39;re all owners. We hire the best and the brightest employees and allow them to share in the company&#39;s success through our Total Rewards. With the Employee Stock Ownership plan at its core, the Total Rewards program includes all compensation, benefits and perks that come with being an RLI employee.</h3><h2>Financial Incentives</h2><ul><li><h3>Annual bonus plans</h3></li><li><h3>Employee stock ownership plan (ESOP)</h3></li><li><h3>401(k) — automatic 3% company contribution</h3></li><li><h3>Annual 401k and ESOP profit-sharing contributions (Up to 15% of eligible earnings)</h3></li></ul><h2>Work &amp; Life</h2><ul><li><h3>Paid time off (PTO) and holidays</h3></li><li><h3>Paid volunteer time off (VTO) to support our communities</h3></li><li><h3>Parental and family care leave</h3></li><li><h3>Flexible &amp; hybrid work arrangements</h3></li><li><h3>Fitness center discounts and free virtual fitness platform</h3></li><li><h3>Employee assistance program</h3></li></ul><h2>Health &amp; Wellness</h2><ul><li><h3>Comprehensive medical, dental and vision benefits</h3></li><li><h3>Flexible spending and health savings accounts</h3></li><li><h3>2x base salary for group life and AD&amp;D insurance</h3></li><li><h3>Voluntary life, critical illness, &amp; accident insurance for purchase</h3></li><li><h3>Short-term and long-term disability benefits</h3></li></ul><h1>Personal &amp; Professional Growth</h1><h3>RLI encourages its employees to pursue professional development work in insurance and job-related areas. We make a commitment to employees to provide educational opportunities that help them enhance their skills and further their career advancement. RLI fosters a true learning culture and encourages professional growth through insurance courses, in-house training and other educational programs. RLI covers the cost for most programs and employees typically earn a bonus upon successful completion of approved courses and certifications. Our personal and professional growth benefits include:</h3><ul><li><h3>Training &amp; certification opportunities</h3></li><li><h3>Tuition reimbursement</h3></li><li><h3>Education bonuses</h3></li></ul><h1>Diversity &amp; Inclusion</h1><h3>Our goal is to attract, develop and retain the best employee talent from diverse backgrounds while promoting an environment where all viewpoints are valued and individuals feel respected, are treated fairly, and have an opportunity to excel in their chosen careers. We actively support, and participate in, initiatives led by the American Property Casualty Insurance Association that aim to increase diversity in the insurance industry. Cultivating an exceptional and diverse workforce to deliver excellent customer service reinforces our culture and is a key to achieving superior business results.</h3><h3>RLI is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, color, religion, national origin, citizenship, gender, marital status, sexual orientation, age, disability, veteran status, or any other characteristic protected by federal, state, or local law.</h3>

Sr. Data Engineer

4+ years in data engineering; strong SQL and Python; Snowflake or similar cloud data platform; Git; experience building scalable data pipelines; insurance/financial services experience a plus.

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.

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