Explore 4 python cloud platform developer jobs from 3 hiring companies in Seneca, IL, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Cloud Platform Developer

Morris

Ottawa

Marseilles

Streator

Yorkville

Joliet

Aurora

Shorewood

Oswego

Plainfield

Crest Hill

Naperville

Lockport

Romeoville

Bolingbrook

New Lenox

Homer Glen

Batavia

Kankakee

Python Cloud Platform Developer Jobs

Worldpac

Kemper

Ulta Beauty

Onsite

Hybrid

Location(s)Alpharetta, Georgia, P&amp;C-Butterfield Road-Downers Grove-IL-AAC, St. Louis, MissouriDetailsKemper is one of the nation’s leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper’s products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises. Position Summary: Kemper Auto is seeking a highly skilled Resident Actuarial Engineer Manager to integrate solution development and data engineering practices within actuarial processes. This role bridges actuarial science, solution development, and advanced data engineering, ensuring data-driven decision-making is enabled through an ecosystem of capabilities built in seamless collaboration with the actuarial team. The ideal candidate will oversee the development, maintenance, and implementation of data-driven pricing strategies for personal and commercial auto insurance products, ensuring the accurate, actionable use of data to drive our business forward.Position Responsibilities:<ul><li>Leadership: Lead a team of engineers, fostering a culture of innovation, collaboration and professional growth while delivery of high-quality analyses. Oversee the development of scalable data solutions, ensuring data accuracy, availability, and integrity, and implement cloud-based strategies tailored to actuarial needs.</li><li>Actuarial Solution Development: Develop and maintain a suite of actuarial capabilities, inclusive of processes for portfolio re-rating to better understand the impact of proposed changes and expected performance. Develop solutions using Python in a cloud-based ecosystem.</li><li>Actuarial Data Support: Collaborate with the actuarial team to provide solutions for pricing through advanced analytics and automation tools, ensuring alignment with actuarial methodologies and business requirements. Work closely with data solutions teams to ensure that data is structured for consumption by the actuarial team and that actuarial data requirements are fully articulated. Ensures that data is ingested into the actuarial ecosystem in a governed and controlled fashion. </li><li>Innovation and Optimization: Drive advanced analytics adoption to improve actuarial processes, optimize data workflows, identify and resolve inefficiencies in current operations to enhance team productivity.  Develop scalable programming solutions, and implement data strategies that align with organizational objectives and key performance indicators (KPIs). Automate and streamline processes to improve efficiency and accuracy.</li><li>Data Governance &amp; Compliance: Establish and enforce data governance protocols to ensure compliance with regulatory standards, safeguard data security and maintain accuracy and integrity by adhering to industry and actuarial best practices.</li><li>Collaboration: Work closely with the actuarial team to align data and pricing strategies with business objectives.  Recognizing potential system opportunities or issues during data analysis and communicating them to business technology partners as needed. Provide training and support to team members and stakeholders to understanding and adoption of pricing technologies.</li></ul>Position Qualifications:<ul><li>Bachelor’s degree in Computer Science, Data Engineering, Data Analytics or a related field.</li><li>5&#43; years of experience in solution or data engineering, data analysis or a similar role Proven experience in managing technical team and mentoring.</li><li>3&#43; years experience in Python development, with experience creating python-based applications utilizing clean code techniques.</li><li>SAS proficiency is a plus</li><li>Test-driven development experience is a plus</li><li>Experience with Amazon SageMaker is a plus</li><li>Knowledge of  data manipulation techniques and data ingestion patterns.</li><li>Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)</li><li>Proficiency working with data visualization tools such as Tableau and Power BI. </li><li>Experience working in an actuarial or research field in a data engineering role supporting advanced analytics</li><li>Familiarity with actuarial principles, insurance data structures, regulatory requirements and reporting standards.</li><li>Strong analytical problem-solving and critical thinking skills with a results-oriented mindset.</li><li>Excellent written and verbal communication skills with ability to translate business needs into technical solutions.</li><li>Proven track record of delivering large-scale data-driven projects.</li></ul>Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.Kemper will never request personal information, such as your social security number or banking information, via text or email.  Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates.  If you receive such a message, delete it.

Python Engineer Manager

5+ years in solution or data engineering; 3+ years Python development; leadership experience; cloud/platform knowledge; actuarial/data analytics exposure.

Opportunity Information:
Overview:Worldpac, a leading name in automotive parts distribution, is looking for a results-driven Data Engineer to help build the robust and scalable data pipelines and infrastructure that underpin our digital transformation and AI initiatives. The Data Engineer will play a critical role in designing, implementing, and maintaining data infrastructure that supports data science, analytics, and operational systems across Worldpac’s core business functions. This role focuses on developing production-grade data pipelines that integrate with a wide range of systems—from modern APIs to legacy databases—ensuring data is reliable, clean, and ready for downstream use. Ideal candidates will bring a strong foundation in data engineering, experience working with cloud and legacy systems, and a passion for applying best practices in data architecture, software development, and automation. This position will be onsite at our Corporate HQ in Oak Brook, IL 5 days/week.Responsibilities: Data Pipeline Development and Management: <ul><li>Build and maintain robust ETL/ELT pipelines to ingest data from diverse systems (ERP, CRM, supply chain, sales, external APIs, etc.). </li></ul><ul><li>Create and manage synthetic and derived features to support AI and analytics use cases. </li></ul><ul><li>Ensure data quality, consistency, and lineage across all pipeline stages. </li></ul>Systems Integration and Modernization: <ul><li>Connect legacy systems and databases with modern cloud-based platforms (e.g., Snowflake, Databricks, AWS). </li></ul><ul><li>Engineer real-time and batch data flows, including support for streaming data where appropriate (e.g., Kafka, Kinesis). </li></ul><ul><li>Partner with IT to improve access to core systems and modernize data interfaces. </li></ul>Data Governance and Reliability: <ul><li>Implement monitoring, validation, and observability frameworks for data flows. </li></ul><ul><li>Ensure compliance with data privacy, retention, and security policies. </li></ul><ul><li>Maintain documentation for data sources, transformations, and pipeline dependencies. </li></ul>Collaboration and Enablement: <ul><li>Work closely with data scientists and analysts to translate business and model requirements into engineered datasets. </li></ul><ul><li>Create reusable data assets and modular pipelines to support experimentation and production deployment. </li></ul><ul><li>Contribute to team standards for code quality, version control, and DevOps practices. </li></ul>Qualifications: <ul><li>Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field </li></ul><ul><li>Must-Have Skills:   </li></ul><ul><li>4+ years of experience in data engineering or software development with a focus on data </li></ul><ul><li>Proficient in SQL and Python (or Scala) for developing data workflows and transformations </li></ul><ul><li>Hands-on experience with cloud data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift) </li></ul><ul><li>Experience with orchestration tools (e.g., Airflow, Prefect, Dagster) and CI/CD pipelines </li></ul><ul><li>Solid understanding of data warehousing concepts, schema design, and performance optimization </li></ul><ul><li>Ability to work with structured and unstructured data across batch and streaming paradigms </li></ul>

Location Type:
On-Site

Pay Range:
USD $103,500.00 - USD $138,000.00 /Yr.

Data Engineer

4+ years in data engineering or software development; SQL and Python; cloud data platforms; ETL/ELT pipelines; on-site in Oak Brook, IL.

Opportunity Information:
We are seeking a technically skilled Senior AI Engineer to design, develop, and deploy AI-powered solutions across our organization. Your work will include building AI chat assistants, integrating AI with databases and business systems, and automating processes to drive efficiency and innovation.Key Responsibilities<ul><li>Translate product requirements and user stories into robust AI/ML solutions</li><li>In collaboration with external partners, design, develop, and deploy AI-powered chat assistants and automation tools for internal teams</li><li>Integrate AI solutions with existing databases, APIs, and business applications</li><li>Build, train, evaluate, and maintain machine learning models, with a focus on production readiness and scalability</li><li>Collaborate with IT and data teams to ensure data quality, security, and compliance</li><li>Document technical designs, code, and deployment processes</li><li>Stay current with advancements in AI/ML technologies and recommend best-fit solutions</li><li>Provide technical support for deployed AI systems and assist with troubleshooting as needed</li></ul>Required Qualifications<ul><li>Bachelor’s degree in computer science, Engineering, Data Science, or a related field; or equivalent combination of education and relevant professional experience</li><li>6 - 8 years of hands-on experience developing and deploying AI/ML solutions in a production environment, with at least 4 years specifically focused on LLM-based GenAI applications </li><li>Proven experience developing LLM agents using frameworks such as LangChain, AutoGen, or similar orchestration layers</li><li>Proficiency in Python and relevant AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)</li><li>Experience with natural language processing (NLP) and building chatbots or conversational AI systems</li><li>Strong knowledge of database systems and data integration</li><li>Experience with cloud platforms (AWS, Azure, GCP) for deploying AI solutions</li><li>Ability to write clean, maintainable, and well-documented code</li><li>Strong problem-solving skills and attention to detail</li><li>Experience with MLOps practices and tools for model deployment and monitoring</li><li>Experience working in agile, cross-functional teams</li></ul>Preferred Qualifications<ul><li>Experience with RPA (Robotic Process Automation) tools</li><li>Knowledge of data privacy and security best practice</li></ul>Collaboration<ul><li>Work closely with the Product Manager, who will define and prioritize AI projects and features</li><li>Collaborate with IT, data, and business teams to ensure seamless integration and deployment of AI solutions</li></ul>

Location Type:
On-Site

Pay Range:
USD $130,500.00 - USD $174,000.00 /Yr.

Senior AI Engineer

Senior AI Engineer with 6-8 years AI/ML experience, LLM-based GenAI, Python, NLP, cloud platforms, MLOps, agile teams.

OVERVIEW Live the experience. From professional empowerment to continual learning opportunities. From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta Beauty, our tech team is critical to our scalability—and is recognized that way. We’ve been defined as a “mature start-up.” A place where interdepartmental exposure, open doors, and genuine collaboration is ubiquitous. Where challenges come fast and furious, requiring agility, mental dexterity, and creativity. Where our passion for better solutions drives us and is core to who we are.  We’re engineering for the future of retail, and it’s no-holds-barred. But for those motivated by continual change and ambiguity, by superior leadership, by whip smart colleagues who will press you daily for your very best, you’ll find that virtually nothing’s impossible at Ulta Beauty. COMPANY: Ulta, Inc. LOCATION: 1000 Remington Blvd., Suite 120, Bolingbrook, IL 60440 TITLE: IT Senior Data Engineer HOURS: Monday to Friday, 8:00 am to 5:00 pm DUTIES: Designs frameworks and applications for large-scale data processing evaluating emergingtechnologies and approaches that will power data-driven capabilities across the Enterprise. Develops data engineering solutions on Google Cloud Platform leveraging Google Data Flow, Data Proc, REST APIs /Micro Services to ingest data from external partners, define workflows and schedule jobs. Collaborates with cross-functional technologists and business partners across the organization to gather requirements, solve new problems and deliver quality results. Develops and executes test plans to validate the implementation and performance of data ingestion and processing programs and recommend performance improvements. Mentors other team members on best practices. Supports the operations of the deployed solutions, investigates complex issues and assists with the resolution and implementation of preventive measures. Assists with evaluation of Proof of Concepts (POCs), project estimation and engages in performance testing and tuning activities for large data sets. REQUIREMENTS: Bachelor’s degree in Computer Science, or related. Five (5) years of development or related experience. Five (5) years of development or related experience must include: Five (5) years of development experience in Big data platforms such as Hadoop, Databricks on AWS, Azure, or GCP cloud. Experience must also include: Big Data ecosystems underlying architectures to re-platform legacy systems and build integration solutions on Google Cloud platform; Experience in design and development of data pipelines leveraging batch and real-time data ingestion frameworks and spark streaming; Expertise in Java, Python or any scripting language, SQL/NoSQL Database systems; Experience in Big Data tools and technologies such as Big Query, Databricks, Snowflake, Spark, or Kafka Streams; Experience in test automations ensuring data quality, continuous integrations build and deployment processes using Docker, GitHub, Jenkins and Unix/Linux shell scripts; and Experience developing complex services/solutions based on Enterprise Integration Patterns and Coding best practices. SALARY: $153,317 - $154,317 per year APPLY: <a href="https://careers.ulta.com/careers/">https://careers.ulta.com/careers/</a> Job ID 474752    The pay range for this position is $153,317.00 - $154,317.00 / Year with the opportunity for eligible associates to earn additional compensation pursuant to the Company’s bonus plan. Exact pay will be based on factors including, but not limited to relevant education, qualifications, certifications, experience, level, shift, geographic location, and business and organizational needs. Full-time positions are eligible for paid time off, health, dental, vision, life and disability benefits. Part-time positions are eligible for dental, vision, life, and disability benefits. For additional information concerning our benefits, visit our Benefits and Career Development page: https://learn.bswift.com/ulta ABOUT At Ulta Beauty (NASDAQ: ULTA), the possibilities are beautiful. Ulta Beauty is the largest North American beauty retailer and the premier beauty destination for cosmetics, fragrance, skin care products, hair care products and salon services. We bring possibilities to life through the power of beauty each and every day in our stores and online with more than 25,000 products from approximately 500 well-established and emerging beauty brands across all categories and price points, including Ulta Beauty’s own private label. Ulta Beauty also offers a full-service salon in every store featuring—hair, skin, brow, and make-up services. We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

Sr IT Engineer Data

Senior IT Engineer Data

Bachelor's degree in Computer Science; 5+ years in development with big data, cloud platforms, data pipelines; proficient in Java/Python/SQL; experience with BigQuery, Databricks, Snowflake, Spark, Kafka; Docker, GitHub, Jenkins; Unix/Linux.

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