Explore 8 python data engineer jobs from 1 hiring companies in Louisiana, MO, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Data Engineer Jobs

Mastercard

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 Data Engineer<h3></h3>Overview Mastercard is the global technology company behind the worlds fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of PricelessÆ. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. As a Test Lead Engineer in Data collection &amp; Engineering (DC&amp;E), you will have the opportunity to test high performance data pipelines which load into Mastercard Data Warehouse. Our Data Warehouse provides analytical capabilities to number of business users who help different customer provide answer to business problems through data. You will play a vital role within a rapidly growing organisation, while working closely with experienced and driven engineers to solve challenging problems. Role - Test data pipeline using automated test framework and perform data analysis - Follow MasterCard Quality Assurance and Quality Control processes - Leverage new technologies and approaches to innovating with increasingly large data sets - Work with project team to meet scheduled due dates, while identifying emerging issues and recommending solutions for problems - Perform assigned tasks and production incident independently - Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency All About You - 10 to 12 years of development and testing experience in Data Warehouse related projects in product or service based organisation - Expertise in ETL testing in end-to-end DW projects in Big Data environment using Spark - Experience of programming language like Java/ Python/ Unix scripting to build and enhance test automation framework - Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge - Experience of working on Nifi will be an added advantage - Experience of working in Agile teams - Strong analytical skills required for doing data analysis and defect management process - Strong communication skills - both verbal and written ñ and strong relationship, collaboration skills and organisational skills - Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results - Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement - Flexibility to work as a member of a matrix based diverse and geographically distributed project teams<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>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.

Lead Data Engineer

10-12 years in Data Warehouse development/testing; ETL testing in Big Data; Spark; Java/Python/Unix scripting; SQL; Oracle/Netezza; NiFi; Agile; strong analytical and communication skills; proactive and able to work in distributed teams.

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>Software Engineer II<h3></h3>OVERVIEW: Mastercard is the global technology company behind the world's fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. As a Data Quality Engineer in Data Platform &amp; Engineering Services, you will have the opportunity to build high performance data pipelines to load into Mastercard Data Warehouse. Our Data Warehouse provides analytical capabilities to number of business users who help different customer provide answer to business problems through data. You will play a vital role within a rapidly growing organization, while working closely with experienced and driven engineers to solve challenging problems. Key Responsibilities: Build and enhance data quality validation frameworks for large‑scale financial and card‑processing systems. Design, implement, and maintain automated data quality pipelines using Python, Spark, and SQL. Develop and integrate APIs that support data validation workflows, metadata services, and quality scoring. Build real‑time streaming data quality checks using Kafka/Spark Streaming for high‑velocity transaction data. Implement automated rules to validate data completeness, accuracy, timeliness, lineage, and business logic. Collaborate with platform, product, and analytics teams to ensure end‑to‑end data reliability. Contribute to CI/CD, monitoring, alerting, and observability for data quality systems. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related technical field. Software engineering experience building data services or pipelines, with strong proficiency in Python (frameworks, packaging, testing, CI). Hands‑on experience with Apache Spark (batch and/or streaming) for high‑volume processing, including performance tuning and job orchestration. Advanced SQL skills for implementing validation logic and reconciliations in code (CTEs, windowing, partitioning), with a focus on query performance and reliability. Experience designing and consuming RESTful APIs for data quality services (rules management, metrics, metadata) and integrating them into applications/pipelines. Practical expertise with streaming platforms (Kafka, Kinesis, or Spark Structured Streaming) to enforce real‑time data quality checks and SLAs. Hands‑on with AWS (S3, Lambda, Glue, EMR, Step Functions, ECS/EKS, CloudWatch) and modern data lake/warehouse patterns; infrastructure‑as‑code experience is a plus (CDK/Terraform). Deep understanding of data quality dimensions (accuracy, completeness, timeliness, consistency, validity) and the ability to translate business rules into automated validation code and tests. Strong engineering practices: unit/integration testing, observability (logs/metrics/traces), performance optimization, secure coding, and CI/CD pipelines (GitHub Actions/Jenkins). Excellent problem‑solving and communication skills; proven ability to collaborate with platform, product, and data teams in an agile environment. Preferred / Good to Have Exposure to AI/ML for anomaly detection, rule inference, or synthetic data generation to enhance automated DQ. Background in payments/card services (authorization, clearing, settlement) and related data models.<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: $92,000 - $147,000 USD<h3></h3><h3></h3><h3></h3><h3></h3>

Software Engineer II

Bachelor’s or Master’s in Computer Science, Software Engineering, Data Engineering, Information Systems, or related field; strong Python, Spark, SQL; experience with data services/pipelines, APIs, and AWS.

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 Site Reliability Engineer<h3></h3>The BizOps team is looking for a Lead Site Reliability Engineer who can help us solve problems and enhance our capabilities by supporting applications, services, and platforms. This position is to support the Data Delivery and Analytics program to support the growing need of the product like MyMPA, QMR. Tech Skills: Unix, Shell Scripting, SQL, Python, Apache Nifi, Splunk, Dynatrace, Jenkins, GIT, XLR etc. We regularly review our run state not only from an internal perspective, but also understanding and providing the feedback loop to our development partners on how we can improve the customer experience of our applications. Responsibilities: • Engage in and improve the whole lifecycle of services—from inception and design, through deployment, operation and refinement. • Analyse ITSM activities of the platform and provide feedback loop to development teams on operational gaps or resiliency concerns • Support services before they go live through activities such as system design consulting, capacity planning and launch reviews. • Maintain services once they are live by measuring and monitoring availability, latency and overall system health. • Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity. • Support the application CI/CD pipeline for promoting software into higher environments through validation and operational gating, and lead Mastercard in DevOps automation and best practices. • Practice sustainable incident response and blameless post-mortems. • Take a holistic approach to problem solving, by connecting the dots during a production event thru the various technology stack that makes up the platform, to optimize mean time to recover • Work with a global team spread across tech hubs in multiple geographies and time zones • Share knowledge and mentor junior resources Qualifications • BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience. • Experience with algorithms, data structures, scripting, pipeline management, and software design. • Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. • Ability to help debug and optimize code and automate routine tasks. • We support many different stakeholders. Experience in dealing with difficult situations and making decisions with a sense of urgency is needed. • Experience in one or more of the following is preferred: C, C++, Java, Python, Go, Perl or Ruby. • Interest in designing, analyzing and troubleshooting large-scale distributed systems. • We need team members with an appetite for change and pushing the boundaries of what can be done with automation. Experience in working across development, operations, and product teams to prioritize needs and to build relationships is a must. • Experience in industry standard CI/CD tools like Git/BitBucket, Jenkins, Maven, Artifactory, and Chef. Experience designing and implementing an effective and efficient CI/CD flow that gets code from dev to prod with high quality and minimal manual effort is desired. Business Operations is leading the DevOps transformation at Mastercard through our tooling and by being an advocate for change &amp; standards throughout the development, quality, release, and product organizations. We need team members with an appetite for change and pushing the boundaries of what can be done with automation. Experience in working across development, operations, and product teams to prioritize needs and to build relationships is a must. Mission The role of business operations is to be the production readiness steward for the platform. This is accomplished by closely partnering with developers to design, build, implement, and support technology services. A business operations engineer will ensure operational criteria like system availability, capacity, performance, monitoring, self-healing, and deployment automation are implemented throughout the delivery process. Business Operations plays a key role in leading the DevOps transformation at Mastercard through our tooling and by being an advocate for change and standards throughout the development, quality, release, and product organizations. We accomplish this transformation through supporting daily operations with a hyper focus on triage and then root cause by understanding the business impact of our products. The goal of every biz ops team is to shift left to be more proactive and upfront in the development process, and to proactively manage production and change activities to maximize customer experience, and increase the overall value of supported applications. Biz Ops teams also focus on risk management by tying all our activities together with an overarching responsibility for compliance and risk mitigation across all our environments. A biz ops focus is also on streamlining and standardizing traditional application specific support activities and centralizing points of interaction for both internal and external partners by communicating effectively with all key stakeholders. Ultimately, the role of biz ops is to align Product and Customer Focused priorities with Operational needs. Apply if you think you have below skills? •	Are you a born problem solver who loves to figure out how something works? •	Do you take challenge to enhance monitoring capabilities? •	Do you have a low tolerance for manual work and look to automate everything you can? •	Are you a CI/CD geek who loves all things automation?<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: $122,000 - $207,000 USD<h3></h3><h3></h3><h3></h3><h3></h3>

Lead Site Reliability Engineer

Lead SRE for Data Delivery and Analytics; strong Unix/Shell/Python; CI/CD; distributed systems; team leadership

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 Software Engineer<h3></h3>Position Overview Have you ever wanted to be part of something BIG? Now is the time to make an immediate impact at a leading global technology company, Mastercard. Mastercard is seeking a Backend Software Engineer to join the AI&amp;DPE Data Engineering platform team, responsible for building and evolving large scale backend data systems, real time and batch pipelines, and AI enabled services that power analytics, decisioning, and automation across the organization. This is a Software Engineer backend engineering role, focused on Scala/Python/Java, distributed data platforms (Cloudera/Spark), and cloud based architectures, with a strong emphasis on AI agent creation and intelligent automation. Visualization tools (e.g., Qlik) are consumers of the platform, not the core focus of this role. You will work with massive transactional datasets, modern big data and cloud platforms, and AI driven workflows to transform how Mastercard processes, enriches, and operationalizes data at global scale. PRIMARY RESPONSIBILITIES Software Engineer Backend with Data Platform Engineering Design, develop, and maintain backend services and data pipelines using Scala, Python and Java Build and optimize batch and streaming workloads on Cloudera Data Platform (CDP) using Spark Work with Cloudera Manager to support platform configuration, monitoring, performance tuning, and operational stability Design and implement high quality datamarts and curated datasets with strong emphasis on data integrity, performance, and reliability AI Agents &amp; Intelligent Automation Design, build, and integrate AI powered agents that operate to support: Anomaly detection and operational intelligence workflow automation Apply generative AI driven, or rule based agents to reduce manual effort and improve scalability across backend systems Cloud &amp; Modern Data Architecture Build and support data and compute workloads in AWS environments Leverage Databricks for large scale data processing, advanced analytics Contribute to cloud native and hybrid architectures integrating on prem and cloud platforms Integration &amp; Downstream Enablement Enable downstream consumers (analytics, visualization, reporting tools such as Qlik) through well designed, reliable backend data interfaces Partner with analytics, fraud, and business teams to ensure backend systems meet evolving needs without compromising platform stability Documentation &amp; Collaboration Create clear technical documentation, including architecture diagrams, data flows, and design specifications Participate in Agile/Scrum ceremonies and cross functional design reviews Mentor and upskill team members in backend engineering, big data, and AI agent concepts KNOWLEDGE AND SKILL REQUIREMENTS Required BS/BA degree in Computer Science, Engineering, Information Systems, or related field Strong hand son experience with Scala,Python/Java in backend or data intensive systems Experience working with Cloudera Data Platform (CDP) and Spark Familiarity with Cloudera Manager for cluster administration, monitoring, or troubleshooting Strong understanding of data modeling concepts, distributed systems, and large scale data processing Excellent problem solving skills and ability to work independently in complex environments GOOD TO HAVE / STRONGLY PREFERRED Hands on experience building, integrating, or supporting AI driven agents or intelligent automation solutions Experience with Databricks for data engineering or ML workloads Experience working in AWS (e.g., S3, EC2, EMR, Glue, Lambda, IAM, or equivalent services) Knowledge of streaming and big‑data technologies: Kafka Hadoop ecosystem Hive/Impala Exposure to model monitoring, or AI platform enablement Experience with ETL tools such as Informatica Experience working in Agile / Scrum teams within large enterprises<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: $115,000 - $184,000 USD<h3></h3><h3></h3><h3></h3><h3></h3>

Senior Software Engineer

Backend software engineer with Scala/Python/Java, CDP/Spark, AWS; experience in data platforms, real-time and batch pipelines, and AI-enabled services.

Python Data Engineer Jobs in Louisiana, MO, US

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