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

python-cloud-platform-developer

Python Cloud Platform Developer

Wentzville

Troy

Lake Saint Louis

Washington

O'Fallon

Saint Peters

Dardenne Prairie

Wildwood

Chesterfield

Wright City

Saint Charles

Ballwin

Union

Manchester

Maryland Heights

Creve Coeur

Hazelwood

Florissant

Kirkwood

Python Cloud Platform Developer Jobs

Mastercard

Boeing

Nimble Solutions

Hybrid

Onsite

Our PurposeMastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.Title and Summary<h3></h3>Lead Software Engineer (Azure Platform Engineering)<h3></h3>ABOUT MASTERCARD Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. At Mastercard, our industry expertise is enhanced by our commitment to being a force for good in the world. We do well by doing good. Our core values of trust, partnership, agility, and thoughtful risk taking are displayed in everything we do. Our culture of collaboration and inclusion makes our company the place where the best people choose to be. OVERVIEW On the Cloud Platform team, you will be working with Mastercard’s Azure Platform Engineering team. The team is responsible for developing the best of breed Azure Platform capabilities to application development teams such that automated cloud infrastructure can be provided to software engineering and operation teams. The Role • Implement solutions to manage Mastercard’s Azure infrastructure via code. • Engage and improve the lifecycle of the Azure platform and services -- from development to deployment, operation, and refinement. • Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity. • Design and Develop scalable platform solutions • Practice sustainable incident response and blameless postmortem. All About You • Experience in the fields of Computer Science or Software Engineering. • Experience in Azure infrastructure provisioning through automation tools Terraform. • Experience programming in at least one of the following languages: Python, Java, Go, Bash, etc. • Experience using DevOps tools such as ADO, Jenkins, BitBucket, Artifactory, SonarQube, etc. • Having an understanding of best practices for Logging, Monitoring, and Alerting solutions. • Experience with software deployment and configuration automation • Bachelor's degree in Computer Science, or a related technical field involving programming • Expertise in designing, analyzing, and troubleshooting large-scale systems. • Ability to debug, optimize code, and automate routine tasks. • Systematic problem-solving approach, with effective communication skills and a sense of drive. • Understanding of Windows/Linux operating systems. • Implement solutions to manage Mastercard’s Azure infrastructure via code. • Engage and improve the lifecycle of the Azure platform and services - from development to deployment, operation, and refinement. • Design, develop, and implement software systems and applications on Azure platform. • Establish and ensure adherence to Azure cloud best practices and standards. • Troubleshoot issues and provide solutions to complex problems. • Stay updated with the latest Azure updates, features, and capabilities. • Contribute to design, architecture, process, and development discussions. • Assist in the deployment, scaling, and performance tuning of applications on Azure.<h3></h3>Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.<h3></h3>Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>Abide by Mastercard’s security policies and practices;</li><li>Ensure the confidentiality and integrity of the information being accessed;</li><li>Report any suspected information security violation or breach, and</li><li>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</li></ul><h3></h3>In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.Pay RangesO'Fallon, Missouri: $140,000 - $231,000 USD<h3></h3><h3></h3><h3></h3><h3></h3>

Lead Software Engineer (Azure Platform Engineering)

Lead Software Engineer

Azure platform engineering, Terraform automation, Python/Java/Go, DevOps tools, cloud best practices, scalable system design.

Our PurposeMastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.Title and Summary<h3></h3>Senior Principal Software Engineer<h3></h3>Overview: Mastercard’s AI &amp; Data Platform Engineering team is seeking a Senior Principal Engineer to provide technology leadership and strategic influence across enterprise-scale initiatives for the next generation Decision Management Platform. With deep architectural expertise and ability to collaborate across the organization, you will have the ability to drive innovation and engineering excellence. Key areas of focus include leveraging disruptive technologies in the real time AI inferencing and decisioning domain to improve product effectiveness, increase business agility, increase technical resilience and scalability, and lower cost of ownership. You will work closely with the technology executive, senior leaders and engineers to play an important pivotal role in shaping the overall AI &amp; DPE technology strategy for the wider AI &amp; DPE team. This role is open to candidates based at any Mastercard U.S. location, with an expectation of three days per week onsite. Travel is required approximately 20% of the time, including domestic travel within the U.S. and occasional international travel to Dublin, Ireland. Role: Enterprise Architecture &amp; Technical Leadership •	Lead architectural design for complex, enterprise-wide initiatives spanning multiple services and programs. •	Define and evolve service interactions, dependency models, and policies to ensure scalability, security, and resilience. •	Partner with business and product leaders to architect and deliver new services that enable innovative products and bundles. Customer Experience &amp; Platform Strategy •	Own and improve the end-to-end customer experience across a portfolio of services and applications. •	Simplify and optimize architecture strategies to balance cost, performance, and business value. •	Apply judgment and experience to make trade-offs between competing priorities and technical constraints. Thought Leadership &amp; Influence •	Drive organization-wide initiatives to advance software engineering craftsmanship and best practices. •	Represent the organization through public speaking engagements, technical blogs, and white papers on emerging technologies. •	Participate in Principal-level architecture reviews and resolve enterprise-wide technical and regulatory challenges. Collaboration &amp; Knowledge Sharing •	Consult across teams and organizational boundaries to identify synergies, reuse opportunities, and eliminate silos. •	Mentor engineers at all levels, fostering technical growth and leadership. •	Promote knowledge sharing within guilds and programs to accelerate innovation and productivity. Talent &amp; Culture •	Conduct technical interviews to raise the performance bar and attract top talent. •	Champion behaviors that align with organizational values and drive a culture of excellence. All About You: •	Prior experience in senior technical leadership roles such as Senior Engineer, Lead Engineer, Principal Engineer, or Enterprise Architect within large-scale technology organizations, with a strong focus on platform engineering and enterprise architecture. •	Experience designing and delivering large-scale, cloud-native platforms supporting high availability, scalability, and performance requirements. •	Deep expertise in distributed systems, microservices architectures, and event-driven systems. •	Experience building and supporting real-time, data-driven platforms, including AI/ML inferencing and decisioning systems. •	Strong background in cloud platforms (AWS, Azure, or GCP) and hybrid architecture environments. •	Experience designing APIs, integration patterns, and enterprise-scale service orchestration solutions. •	Hands-on experience with data platforms, streaming systems, and large-scale data pipelines. •	Exposure to AI/ML platforms, MLOps practices, and model deployment and lifecycle management in enterprise environments. •	Experience defining and driving enterprise architecture standards, governance frameworks, and engineering best practices. •	Strong experience evaluating architecture trade-offs across scalability, performance, cost, and business priorities. •	Strong programming experience in a modern language such as Java, Go, or Python. •	Track record of mentoring engineers and elevating engineering maturity across teams and organizations. •	Strong communication skills with experience presenting complex technical solutions to executive, technical, and non-technical audiences. •	Proven track record of driving consensus and alignment in large, matrixed organizations. •	Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related quantitative field, or equivalent practical experience.<h3></h3>Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.<h3></h3>Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>Abide by Mastercard’s security policies and practices;</li><li>Ensure the confidentiality and integrity of the information being accessed;</li><li>Report any suspected information security violation or breach, and</li><li>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</li></ul><h3></h3>In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.Pay RangesNew York City, New York: $254,000 - $407,000 USD<h3></h3>Arlington, Virginia: $244,000 - $390,000 USD<h3></h3>Atlanta, Georgia: $212,000 - $339,000 USD<h3></h3>Boston, Massachusetts: $244,000 - $390,000 USD<h3></h3>Miami, Florida: $212,000 - $339,000 USD<h3></h3>O'Fallon, Missouri: $212,000 - $339,000 USD<h3></h3>San Francisco, California: $254,000 - $407,000 USD<h3></h3><h3></h3><h3></h3>

Senior Principal Software Engineer

Senior technical leadership; cloud-native platforms; distributed systems; real-time AI/ML inference; API design; data pipelines; MLOps; strong communication.

Description Data EngineerChesterfield Office Hybrid or Remote Why You'll Want to Join!&nbsp; Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable insights. We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a Data Engineer to help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake. Position Overview Lead the modernization of our data infrastructure as a Data Engineer for nimble. You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data—claims, EMR/EHR, HL7/FHIR—into actionable insights that drive revenue cycle optimization and clinical outcomes. Why This Role Matters Healthcare data engineering is mission-critical: clean, governed data flows directly impact financial accuracy, compliance, and the decisions that improve patient care. Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data. Key Responsibilities • Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake• Develop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards• Write and optimize SQL queries for performance across large healthcare datasets• Implement data governance, quality frameworks, and HIPAA compliance controls• Collaborate with analytics, data science, and business teams to define data requirements• Monitor and troubleshoot data pipeline health and performance• Develop Python or Scala code for complex transformations and data processing• Support Power BI and analytics teams with data modeling and performance optimization• Document data lineage, transformations, and technical architectureRequirements • 3+ years of professional data engineering or ETL/ELT development experience• Expert-level SQL skills with proven optimization experience• Proficiency in Python, Scala, or similar data processing languages• Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)• Understanding of healthcare data standards (HL7, FHIR, claims data structures)• Strong grasp of data modeling, normalization, and schema design• Experience with data versioning, CI/CD pipelines, and data quality frameworks Preferred Qualifications • Experience with Microsoft Fabric or Azure Data Factory• Knowledge of HIPAA compliance and healthcare data security• Background in healthcare, RCM, or claims processing• Experience with dbt (data build tool) or equivalent transformation frameworks• Exposure to dimensional modeling and data warehousing best practices What Success Looks Like • In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics• In 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components• Ongoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance

Data Engineer

3+ years data engineering/ETL, SQL expert, Python/Scala, cloud platforms (Azure Synapse, Snowflake, Databricks), healthcare data standards HL7/FHIR, HIPAA compliance.

Senior AWS Software Data EngineerCompany:The Boeing CompanyThe Boeing Company is looking for a Senior AWS Software Data Engineer to join our Digital Analytics and System Health (DASH) software team in Hazelwood, MO. This position will focus on design, implement, and production scale AWS Data services, coordinate, and lead S3 capabilities, SQS, Lambda, as well as DynamoDB and data governance and warehousing processes and functions to support several large-scale digital analytics capabilities for the Boeing Global Services (BGS) organization. Our Digital Analytics and System Health (DASH) software team develops and maintains many off-board systems health, maintenance, repair, and overhaul digital capabilities that provide both our internal support teams and our external customers from both domestic and international defense markets with advanced analytics solutions to support data driven decisions in aircraft and off platform systems health and maintenance processes. These capabilities provide our customers the ability to reduce maintenance times, and costs, and increase readiness and platform availability across their entire fleets.The role involves close collaboration with Product Managers, Product Owners, and the Data Team Service Delivery Manager to migrate, scale, and strengthen data intake, storage, and delivery pipelines. It focuses on designing, developing, testing, and maintaining innovative data-focused software solutions that adhere to the highest industry, customer, safety, and regulatory standards. Candidates will transform customer requirements into advanced software data capabilities while addressing complex challenges involving both structured and unstructured data to support data analysts and scientists. The position requires crafting and implementing robust data ingestion strategies—both batch and streaming—along with transformation patterns and orchestration across diverse data sources. Working alongside various stakeholders, the role leads data modeling efforts for acquisition and database implementation and oversees the development and maintenance of sophisticated infrastructure systems such as data warehouses and data lakes, including data access APIs. Additionally, this role provides guidance to data and analytics professionals on best practices and data standards. It fosters a culture of collaboration, reuse, scalability, stability, and operational excellence, leveraging automation to maximize efficiency and impact. This role is ideal for those passionate about shaping the future of data engineering and making a significant contribution to innovative data solutions.This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Position Responsibilities:<ul><li>Leads the design, development, test, and maintenance of cloud data solutions throughout the end-to-end lifecycle that meets industry, customer, safety, and regulation standards</li><li>Leads review, analysis, and translation of customer requirements into initial design of software data products</li><li>Coordinates the development, maintenance, enhancement and optimization of software data products and functionalities for systems integrations</li><li>Leads activities to develop, document and maintain architectures, requirements, and designs for software data products</li><li>Debugs and leads resolution of issues identified to ensure the reliability and efficiency of software data products</li><li>Leads research and implementation of current and emerging technologies, tools, frameworks, and changes in regulations relevant to software development</li><li>Leads development, establishment, monitoring and improvement of software data processes, tools and key performance metrics that align projects with organizational goals and industry benchmarks</li><li>Leads execution and documentation of software data research and development projects</li><li>Consults on software domains, system-specific issues, processes, and regulations</li></ul>Basic Qualifications (Required Skills/Experience):<ul><li>Bachelor Degree</li><li>Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship</li><li>8&#43; years of experience with Data Engineering and/or Software Development</li><li>5&#43; years of experience designing, implementing, and integrating big data platforms</li><li>5&#43; years of experience designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud)</li><li>3&#43; years of experience deploying and managing distributed systems on at least one cloud platform (e.g., Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP))</li><li>3&#43; years of experience with the configuration of Application Programming Interfaces (APIs) for data ingestion</li></ul>Preferred Qualifications (Desired Skills/Experience):<ul><li>Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9&#43; years of related work experience OR Bachelor’s Degree and 13&#43; years of directly related work experience OR 17&#43; years of related, relevant experience</li><li>Experience with DevOps/DevSecOps and CI/CD practices, methodologies, and tooling</li><li>Experience with Jira and GIT</li><li>Experience with Amazon OpenSearch, RedShift, Lambda</li><li>Experience with Tanzu (formerly PCF)</li><li>Experience with NoSQL data services (DynamoDB or DocumentDB)</li><li>Experience with Python, JavaScript, &amp; SQL languages</li></ul>Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.CodeVue Coding Challenge:To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.Pay &amp; Benefits:At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations.Summary Pay Range: $160,650 - $217,350Language Requirements:Not ApplicableEducation:Bachelor's Degree or EquivalentRelocation:This position offers relocation based on candidate eligibility.Export Control Requirement:This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.Safety Sensitive:This is not a Safety Sensitive Position.Security Clearance:This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.Visa Sponsorship:Employer will not sponsor applicants for employment visa status.Contingent Upon Award ProgramThis position is not contingent upon program awardShift:Shift 1 (United States of America)Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - <a href="http://www.boeing.com/careers/recruitment-fraud-warning.page" target="_blank">Recruitment Fraud Warning</a><div><div><div><div>Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.<a href="http://www.boeing.com/resources/boeingdotcom/careers/footer/EEOIsTheLawPoster.pdf" target="_blank">EEO is the law</a><a href="https://tbcdn.talentbrew.com/company/185/v1_0/img/2018_Policy_Statement.pdf" target="_blank">Boeing EEO Policy</a><a href="http://www.boeing.com/careers/request-accommodation.page" target="_blank">Request an Accommodation</a><a href="http://www.boeing.com/careers/privacy-statement.page" target="_blank">Applicant Privacy</a> Boeing Participates in E – Verify<ul><li><a href="http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterEnglish.pdf" target="_blank">E-Verify (English) </a></li><li><a href="http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterSpanish.pdf" target="_blank">E-Verify (Spanish) </a></li></ul>Right to Work Statement <ul><li><a href="http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWEnglishversion.pdf" target="_blank">Right to Work (English) </a></li><li><a href="http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWSpanishversion.pdf" target="_blank">Right to Work (Spanish)</a></li></ul></div></div></div></div>

Senior AWS Software Data Engineer

8+ years in data engineering or software development; 5+ years building big data platforms; 5+ years scalable cloud infra; 3+ years API data ingestion; Bachelor’s degree; ability to obtain U.S. security clearance.

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