Missouri Staffing
Lead Data Engineer
Mastercard powers economies and empowers people in 200+ 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. The Data Scientist team is seeking a Lead Data Engineer to drive Mastercard's data strategy forward by designing scalable solutions, building high-performance pipelines, and enabling data-driven decision-making. The ideal candidate is a hands-on technologist who thrives on solving complex problems, has a passion for building robust data ecosystems, and brings strong leadership and collaboration skills to empower teams across the organization. Role Gather and understand the data engineering requirements based on the product and Engineering specifications. Conduct data discovery to build data models, schemas, tables, view, schemas deployment and many more. Building appropriate data pipelines in the application to support ETL and automate the pipelines. Implement and manage CI/CD pipelines using GitLab and Jenkins, enabling automated testing, deployment, and monitoring of data workflows. Build fact tables, conduct analysis and reporting as per needs. Conduct data analysis and perform data operations to support business decisions. Provide architecture guidelines and support from Data engineering aspects in product development. Apply exceptional problem-solving and analytical skills to troubleshoot complex data and system issues. Support Data Science team in building model deployment, data pipelines, serving etc. Document pipeline architecture, processes, and standards, promoting consistency and transparency across the team. All about you Expert in SQL development with hands-on experience in Databricks, Snowflake, Python, and PySpark for designing and implementing advanced data engineering solutions. Proven experience collaborating with stakeholders and cross-functional teams to understand business requirements and deliver reliable, high-impact cloud data solutions across Azure, AWS, and Cloud Data Warehouse platforms. Strong leadership and communication skills, with the ability to guide and mentor data engineering teams, ensuring effective collaboration between technical and non-technical stakeholders. Skilled in architecting and developing scalable, reusable data models, pipelines, and frameworks leveraging Hadoop, NiFi, and modern cloud Data Lake architectures. Experienced in planning and executing end-to-end deployments, upgrades, and migrations with minimal disruption to operations, ensuring adherence to best practices in cloud-native and distributed systems. Holds a Bachelor's degree in Computer Science. Nice to have: Good understanding of payment networks, skill in identifying new product ideas from data, experience publishing and protecting scientific intellectual property work. Skills SQL, Databricks, Azure/AWS, Cloud Datawarehouse, Hadoop, Python, Pyspark, Nifi & Data Lake. 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. 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: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. 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. Pay Ranges O'Fallon, Missouri: $138,000 - $221,000 USD
Mastercard powers economies and empowers people in 200+ 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. The Data Scientist team is seeking a Lead Data Engineer to drive Mastercard's data strategy forward by designing scalable solutions, building high-performance pipelines, and enabling data-driven decision-making. The ideal candidate is a hands-on technologist who thrives on solving complex problems, has a passion for building robust data ecosystems, and brings strong leadership and collaboration skills to empower teams across the organization. Role Gather and understand the data engineering requirements based on the product and Engineering specifications. Conduct data discovery to build data models, schemas, tables, view, schemas deployment and many more. Building appropriate data pipelines in the application to support ETL and automate the pipelines. Implement and manage CI/CD pipelines using GitLab and Jenkins, enabling automated testing, deployment, and monitoring of data workflows. Build fact tables, conduct analysis and reporting as per needs. Conduct data analysis and perform data operations to support business decisions. Provide architecture guidelines and support from Data engineering aspects in product development. Apply exceptional problem-solving and analytical skills to troubleshoot complex data and system issues. Support Data Science team in building model deployment, data pipelines, serving etc. Document pipeline architecture, processes, and standards, promoting consistency and transparency across the team. All about you Expert in SQL development with hands-on experience in Databricks, Snowflake, Python, and PySpark for designing and implementing advanced data engineering solutions. Proven experience collaborating with stakeholders and cross-functional teams to understand business requirements and deliver reliable, high-impact cloud data solutions across Azure, AWS, and Cloud Data Warehouse platforms. Strong leadership and communication skills, with the ability to guide and mentor data engineering teams, ensuring effective collaboration between technical and non-technical stakeholders. Skilled in architecting and developing scalable, reusable data models, pipelines, and frameworks leveraging Hadoop, NiFi, and modern cloud Data Lake architectures. Experienced in planning and executing end-to-end deployments, upgrades, and migrations with minimal disruption to operations, ensuring adherence to best practices in cloud-native and distributed systems. Holds a Bachelor's degree in Computer Science. Nice to have: Good understanding of payment networks, skill in identifying new product ideas from data, experience publishing and protecting scientific intellectual property work. Skills SQL, Databricks, Azure/AWS, Cloud Datawarehouse, Hadoop, Python, Pyspark, Nifi & Data Lake. 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. 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: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. 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. Pay Ranges O'Fallon, Missouri: $138,000 - $221,000 USD