<p><p>Our Purpose</p><p>Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were 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.</p><p>Title and Summary</p><p>Lead Cloud Data Engineer</p><p>Overview</p><p>Loyalty Rewards & Segments Program is seeking a Lead Cloud Data Engineer to drive Predictive and Prescriptive Analytics solutions, helping customers optimize their loyalty programs from start to finish. We build and manage global solutions that allow merchants and issuers to offer seamless points, miles, or cashback benefits to cardholders.</p><p>The Lead Cloud Data Engineer will create technical solutions and lead initiatives to evolve our current descriptive analytics into Predictive and Prescriptive Analytics on cloud platforms.</p><p>Responsibilities:</p><p> Design and implement new data pipelines, transfers, and compliance infrastructure to support cloud-based data usage.</p><p> Lead data modernization and transformation initiatives for Loyalty Data products, ensuring compliance with regulations like PCI-DSS, GDPR, and On-Soil requirements.</p><p> Identify and develop cloud-native solutions for evolving data-related product requirements.</p><p> Build solutions on cloud data platforms, such as Databricks, following industry standards.</p><p> Collaborate with architects, technical leads, and DBAs to develop data pipelines.</p><p> Stay current with emerging trends in big data and cloud platforms, providing technical leadership to improve Advanced Analytics Platform.</p><p> Work with cross-functional agile teams, including Developers, BI Developers, and Product Owners.</p><p> Collaborate with Product Owners to implement cloud use cases effectively.</p><p> Participate in architectural discussions, iteration planning, and feature sizing.</p><p> Follow Agile processes and contribute to Agile ceremonies.</p><p>All About You:</p><p>The ideal candidate is passionate about solving complex problems with elegant solutions and has experience improving processes to boost efficiency. You should have a proven track record of leading technology transformations for large, legacy platforms and guiding the migration from on-premises systems to the cloud. Experience in navigating industry standards (e.g., PCI-DSS), data privacy regulations (e.g., GDPR), and security policies is essential.</p><p>The ideal candidate has experience with:</p><p> Data platform engineering concepts, architecture design patterns, and industry best practices.</p><p> Cloud data platforms like Databricks.</p><p> Cloud infrastructure, particularly AWS and/or Azure.</p><p> Expert in data engineering techniques.</p><p> Proficiency in Python, Scala, Spark, Hadoop platforms and tools (Hive, Impala, Airflow, NiFi, Sqoop), and SQL to build Big Data products and platforms.</p><p> Developing and deploying production-level data applications and workflows/pipelines, including machine learning systems in Java, Scala, or Python, with full lifecycle involvementfrom data ingestion to feature engineering, modeling, and evaluation.</p><p> Designing scalable data migration solutions using cloud and data lake technologies, along with data transformation tools like Airflow and NiFi for data pipeline orchestration and SQL Server SSIS for ETL.</p><p> Cloud security models, encryption strategies, and network layers for hybrid on-prem and cloud environments.</p><p> Curiosity, creativity, and enthusiasm for technology and innovation.</p><p> Strong quantitative and problem-solving skills.</p><p> An ability to multitask with attention to detail.</p><p> Self-motivation, flexibility, and independence in managing your workload.</p><p>Location Requirements: This is a hybrid position based in Mastercard's O'Fallon, Missouri location.</p><p>#LI-TE1</p><p>#AI</p><p>Mastercard is an 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. 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.</p><p>Corporate Security Responsibility</p><p>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:</p><p>Abide by Mastercards security policies and practices;</p><p>Ensure the confidentiality and integrity of the information being accessed;</p><p>Report any suspected information security violation or breach, and</p><p>Complete all periodic mandatory security trainings in accordance with Mastercards guidelines.</p><p>In line with Mastercards total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. 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 new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 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, gender-inclusive benefits and many more.</p></p>

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion (https://www.mastercard.us/en-us/vision/who-we-are/diversity-inclusion.html) for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Senior Principal Big Data Engineer

Overview

What we create today will define tomorrow. Revolutionary technologies that reshape the digital economy to be more connected and inclusive than ever before. Safer, faster, more sustainable. We need the best people to do it: technologists who are energized by the challenges of a truly global network. Employees with the talent and vision to create the critical systems and products that power global commerce and connect people everywhere to the vital goods and services they need every day.

Working at Mastercard means being part of a unique culture that is inclusive and diverse, a rich collaboration of ideas and perspectives. We are a place that celebrates your strengths, values your experiences, and offers you the flexibility to shape a career across disciplines and continents. We provide you the opportunity to work alongside experts and leaders at every level of the business, improving what exists, and inventing what’s next.

About the Role

As a member of the Data Platforms and Engineering Services team, the Senior Principal Engineer is a key driver of the technology architecture, design, implementation, operation, and support of the data technology and platforms needed to enable Mastercard to leverage the unique and valuable data assets we provide to drive revenue, regulatory compliance, and new product development.

The technology complexity involved is enormous, given that the Mastercard Data Warehouse is the largest shared service of the company, in terms of size of the data assets, the number of physical servers, the number of transactions stored, and how many products and lines of business leverage the data in the warehouse. This role will help lead the continued evolution and modernization of our data platforms and data engineering practices to ensure Mastercard stays at the competitive forefront in the industry.

As a Senior Principal Engineer, this role will:

Set and drive the technical vision and architecture for the Data Platforms and Engineering Services ecosystem –

o As the technical architect, this role will drive the vision and architectural design, including dependent services, service interactions, and policies.

o This includes identifying ways to make demonstrable progress in the short-term, while keeping an eye on the vision to ensure we are setting ourselves up for long-term success.

o Be the “technical face” of the Data Platforms and Engineering Services team across Mastercard and be able to easily translate and present complex technical topics to senior business leaders.

o Challenge the status quo where necessary and build consensus around those differential opinions.

Partner on critical efforts and liaise across Mastercard –

o Work closely with team members on all vendor evaluations and be a key stakeholder and voice in any build vs. buy decisions.

o Consult across teams and across program lines to identify synergies and reuse opportunities.

Solve tough problems and pave the path for team members –

o Lead projects to prototype and prove concepts for new technologies, application frameworks, and design patterns.

o Ensure that solutions are built for scale and are applicable on our hybrid public-private cloud environment, addressing the needs of all relevant stakeholders (including M&As).

o Tackle intrinsically hard problems, venturing beyond comfortable approaches when necessary, and are adept at “Thoughtful Risk Taking”.

o Balance trade-offs between competing interests; adapt approach to meet the needs of the team, project, and product; bring clarity to complexity and demonstrate smart ways to simplify.

o Have strong ownership of the team’s software and be deep in the maintenance characteristics, runtime properties and dependencies including hardware, operating system, and build.

Learn, educate, mentor, and lead –

o Conduct technical interviews for hiring engineering staff and raising the performance bar.

o Mentor, guide, and coach software engineers and leads in the team to improve engineering productivity, quality, and technology policy compliance.

o Work with existing Principals and management to set engineering principles and federate them throughout the program

o Assist people managers in the talent management process in hiring strong engineering talent and running performance evaluations.

o Seek technical knowledge and educate the team about trends, technologies, and approaches.

o Engage with external technical communities to extend our reach and benefit from the discovery outside of Mastercard and our industry.

All About You

• You have current, deep, hands-on data and software engineering experience – architecture, design, and implementation – on large scale, distributed systems

• Deep Big Data experience and familiarity across industries / technologies and building data pipelines (Hadoop, Spark, Hive, Kafka, Cloudera, Impala).

• Experience with cloud data warehouse / Lakehouse technologies.

• Cloud experience and familiarity with emerging cloud technologies and tools / integration best practices (Databricks, Snowflake, AWS, Azure).

• You are strong in databases, data technologies, and multiple modern programming languages; you also have proficiency with cloud technologies (IaaS, PaaS, serverless technology, NoSQL databases), micro-service design, CI/CD, DevOps.

• You have a demonstrated record of success as a technical leader.

• Your communications and technical skills make you a recognized leader and mentor.

• You are passionate about new technology and can dive deep to form an objective evaluation and opinion.

• You have strong written and verbal English communications skills – prior speaking/blogging engagements in technical forums and conferences.

• Bachelor’s degree or higher in computer science, engineering, or equivalent, or work-related experience. Suitable advanced degree preferred.

Location Requirements: This is a hybrid position available in Mastercard’s Arlington, Dublin, NYC, or O’Fallon locations. Relocation is not available for this position.

Pay Ranges:

Arlington, Virginia: $230,000 - $368,000 USD

O'Fallon, Missouri: $200,000 - $320,000 USD

New York City, New York: $240,000 - 384,000 USD

#LI-TE1

Mastercard is an 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. 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.

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 based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. 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 new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 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, gender-inclusive benefits and many more.

<p><b>Our Purpose</b></p>
<p>We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results.</p>
<h3>Title and Summary</h3>
<p><b>Senior Data Engineer</b></p>
<p>Who is Mastercard?</p>
<p>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. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.</p>
<h3>Overview</h3>
<p>We are looking for an enthusiastic and adaptable Data Engineer to join our Data Engineering Team. You will be responsible for developing and managing Data Pipelines and assisting various data-driven requests across the company. The position involves a wide variety of technical skills, from developing high throughput Spark jobs to tuning performance of Big Data solutions. The ideal candidate will have experience working with large-scale data and building automated data ETL processes. Data warehousing experience would be ideal.</p>
<h3>Key Responsibilities</h3>
<ul>
<li>Build and maintain big data technologies, environments, and applications, seeking opportunities for improvements and efficiencies.</li>
<li>Perform ETL (Extract, Transform, Load) processes based on business requirements using Apache Spark and data ingestion from Apache Kafka.</li>
<li>Work with various data platforms including Apache Hadoop, Apache Ozone, AWS S3, Delta Lake, Apache Iceberg.</li>
<li>Utilize orchestration tools like Apache NiFi for managing and scheduling data flows efficiently.</li>
<li>Write performant SQL statements to analyze data with Hive/Impala/Oracle.</li>
<li>Full application development lifecycle (SDLC) from design to deployment.</li>
<li>Work with multiple stakeholders across teams to fulfill ad-hoc investigations, including large-scale data extraction, transformation, and analyses.</li>
</ul>
<h3>About You</h3>
<ul>
<li>Excellent problem-solving skills with a good understanding of data engineering concepts.</li>
<li>Proficient in Apache Spark with Python and related technologies.</li>
<li>Strong knowledge of SQL and performance tuning.</li>
<li>Experience in Big Data technologies like Hadoop and Oracle Exadata.</li>
<li>Solid knowledge of Linux environments and proficiency with bash scripting.</li>
<li>Effective verbal and written communication skills.</li>
</ul>
<h3>Nice to Have</h3>
<ul>
<li>Knowledge or prior experience with Apache Kafka, Apache Spark with Scala.</li>
<li>Orchestration with Apache NiFi, Apache Airflow.</li>
<li>Java development and microservices architecture.</li>
<li>Build tools like Jenkins.</li>
<li>Log analysis and monitoring using Splunk.</li>
<li>Databricks, AWS.</li>
<li>Working with large data sets with terabytes of data.</li>
</ul>
<h3>Corporate Security Responsibility</h3>
<p>Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must:</p>
<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.</li>
<li>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</li>
</ul>
<p><b>Note:</b> Candidates go through a thorough screening and interview process. There is no need to include all preferred skills in the job description.</p>
<p>Mastercard is an 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. 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.</p>
<h3>Compensation and Benefits</h3>
<p>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 based on location, experience, and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. 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 new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 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, gender-inclusive benefits, and many more.</p>
#J-18808-Ljbffr

<div>
<p><b>Our Purpose</b></p>
<p>We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a <b>culture of inclusion</b> for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.</p>
<h3>Title and Summary</h3>
<p><b>Lead Cloud Data Engineer</b></p>
<p>Overview: Loyalty Rewards & Segments Program is seeking a Lead Cloud Data Engineer to drive Predictive and Prescriptive Analytics solutions, helping customers optimize their loyalty programs from start to finish. We build and manage global solutions that allow merchants and issuers to offer seamless points, miles, or cashback benefits to cardholders.</p>
<p>The Lead Cloud Data Engineer will create technical solutions and lead initiatives to evolve our current descriptive analytics into Predictive and Prescriptive Analytics on cloud platforms.</p>
<h3>Responsibilities:</h3>
<ul>
<li>Design and implement new data pipelines, transfers, and compliance infrastructure to support cloud-based data usage.</li>
<li>Lead data modernization and transformation initiatives for Loyalty Data products, ensuring compliance with regulations like PCI-DSS, GDPR, and On-Soil requirements.</li>
<li>Identify and develop cloud-native solutions for evolving data-related product requirements.</li>
<li>Build solutions on cloud data platforms, such as Databricks, following industry standards.</li>
<li>Collaborate with architects, technical leads, and DBAs to develop data pipelines.</li>
<li>Stay current with emerging trends in big data and cloud platforms, providing technical leadership to improve Advanced Analytics Platform.</li>
<li>Work with cross-functional agile teams, including Developers, BI Developers, and Product Owners.</li>
<li>Collaborate with Product Owners to implement cloud use cases effectively.</li>
<li>Participate in architectural discussions, iteration planning, and feature sizing.</li>
<li>Follow Agile processes and contribute to Agile ceremonies.</li>
</ul>
<h3>All About You:</h3>
<p>The ideal candidate is passionate about solving complex problems with elegant solutions and has experience improving processes to boost efficiency. You should have a proven track record of leading technology transformations for large, legacy platforms and guiding the migration from on-premises systems to the cloud. Experience in navigating industry standards (e.g., PCI-DSS), data privacy regulations (e.g., GDPR), and security policies is essential.</p>
<p>The ideal candidate has experience with:</p>
<ul>
<li>Data platform engineering concepts, architecture design patterns, and industry best practices.</li>
<li>Cloud data platforms like Databricks.</li>
<li>Cloud infrastructure, particularly AWS and/or Azure.</li>
<li>Expert in data engineering techniques.</li>
<li>Proficiency in Python, Scala, Spark, Hadoop platforms and tools (Hive, Impala, Airflow, NiFi, Sqoop), and SQL to build Big Data products and platforms.</li>
<li>Developing and deploying production-level data applications and workflows/pipelines, including machine learning systems in Java, Scala, or Python, with full lifecycle involvement—from data ingestion to feature engineering, modeling, and evaluation.</li>
<li>Designing scalable data migration solutions using cloud and data lake technologies, along with data transformation tools like Airflow and NiFi for data pipeline orchestration and SQL Server SSIS for ETL.</li>
<li>Cloud security models, encryption strategies, and network layers for hybrid on-prem and cloud environments.</li>
<li>Curiosity, creativity, and enthusiasm for technology and innovation.</li>
<li>Strong quantitative and problem-solving skills.</li>
<li>An ability to multitask with attention to detail.</li>
<li>Self-motivation, flexibility, and independence in managing your workload.</li>
</ul>
<h3>Location Requirements:</h3>
<p>This is a hybrid position based in Mastercard's O'Fallon, Missouri location.</p>
<h3>Corporate Security Responsibility</h3>
<p>All activities involving access to Mastercard assets, information, and networks come 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:</p>
<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;</li>
<li>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</li>
</ul>
</div>
#J-18808-Ljbffr

<div>
<p><b>Our Purpose</b></p>
<p>We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a <b>culture of inclusion</b> for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.</p>
<h3>Title and Summary</h3>
<p><b>Lead Data Engineer</b></p>
<p>Overview:<br/> Mastercard’s Data Platforms and Engineering Services is seeking a Lead Data Engineer to join our team. As Lead Data Engineer you will have the opportunity to build high performance data pipelines to load into Mastercard Data Warehouse. Our Data Warehouse provides analytical capabilities to a number of business users who help different customers provide answers to their 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.</p>
<p>The Data Platforms and Engineering Services is focused on enabling insights into Mastercard network and help build data-driven products by curating and preparing data in a secure and reliable manner. Moving to a “Unified and Fault-Tolerant Architecture for Data Ingestion and Processing” is critical to achieving this mission.</p>
<h3>Role:</h3>
<ul>
<li>Partner on the design of the next implementation of Mastercard secure, global data and insight architecture, building the data integration and processing capabilities and operationalizing “Unified Data Acquisition and Processing (UDAP) platform”.</li>
<li>Identify and proactively resolve performance bottlenecks in data systems.</li>
<li>Collaborate with the customer support group to address performance issues in the field.</li>
<li>Explore automation opportunities and develop tools to automate some of the day-to-day operations tasks.</li>
<li>Maintain dashboards and provide performance metrics to monitor system health.</li>
<li>Conceptualize and implement proactive monitoring where possible to catch issues early.</li>
<li>Experiment with tools to streamline development, testing, deployment, and data pipeline management.</li>
<li>Work with cross functional agile teams to drive projects through full development cycle.</li>
<li>Promote best practices in data engineering across teams.</li>
<li>Collaborate with other data engineering teams to improve the data engineering ecosystem and talent within Mastercard.</li>
<li>Creatively solve problems when facing constraints, whether it is the number of developers, quality or quantity of data, compute power, storage capacity or just time.</li>
<li>Maintain awareness of relevant technical and product trends through self-learning/study, training classes and job shadowing.</li>
</ul>
<h3>All About You:</h3>
<ul>
<li>Extensive background in data engineering, with a strong background in data pipeline architecture, ETL, and data modeling.</li>
<li>Expertise in data warehousing solutions, database management, and optimization techniques, particularly in product or service-based organizations.</li>
<li>Previous experience in Site Reliability Engineering or DevOps, along with software engineering or software architecture best practices.</li>
<li>Strong skills in scalability, performance, and stability with expert knowledge in Linux, scripting (Shell and Python preferred) and troubleshooting complex systems.</li>
<li>Operational experience with Big Data stacks (Hadoop ecosystem, Spark is a plus), real-time data streaming frameworks (Kafka, NiFi), and network/server communication troubleshooting.</li>
<li>Proficiency in performance tuning across databases, ETL jobs, and SQL scripts.</li>
<li>Skilled in enterprise metrics/monitoring using tools like Splunk, Druid, and Grafana, with cloud computing experience, especially with Azure or AWS.</li>
<li>Data-driven analytical mindset with a proven problem-solving track record.</li>
<li>Agile methodologies experience.</li>
<li>Proven track record in collaborating with cross-functional teams.</li>
<li>Excellent written and verbal communication skills with the ability to convey complex technical concepts to a diverse audience.</li>
<li>Ability to deal with multiple and competing priorities, structure and manage work streams, and set clear expectations and deadlines.</li>
<li>Bachelor’s degree in Computer Science, Software Engineering, or a related field. Equivalent practical experience will be considered.</li>
</ul>
<h3>Corporate Security Responsibility</h3>
<p>All activities involving access to Mastercard assets, information, and networks come 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:</p>
<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;</li>
<li>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</li>
</ul>
<p>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 based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. 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 new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 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, gender-inclusive benefits and many more.</p>
<h3>Pay Ranges</h3>
<p>O'Fallon, Missouri: $138,000 - $221,000 USD</p>
</div>
#J-18808-Ljbffr

Our Purpose

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.

Title and Summary

Lead Cloud Data Engineer

Overview

Loyalty Rewards & Segments Program is seeking a Lead Cloud Data Engineer to drive Predictive and Prescriptive Analytics solutions, helping customers optimize their loyalty programs from start to finish. We build and manage global solutions that allow merchants and issuers to offer seamless points, miles, or cashback benefits to cardholders.

The Lead Cloud Data Engineer will create technical solutions and lead initiatives to evolve our current descriptive analytics into Predictive and Prescriptive Analytics on cloud platforms.

Responsibilities:

• Design and implement new data pipelines, transfers, and compliance infrastructure to support cloud-based data usage.

• Lead data modernization and transformation initiatives for Loyalty Data products, ensuring compliance with regulations like PCI-DSS, GDPR, and On-Soil requirements.

• Identify and develop cloud-native solutions for evolving data-related product requirements.

• Build solutions on cloud data platforms, such as Databricks, following industry standards.

• Collaborate with architects, technical leads, and DBAs to develop data pipelines.

• Stay current with emerging trends in big data and cloud platforms, providing technical leadership to improve Advanced Analytics Platform.

• Work with cross-functional agile teams, including Developers, BI Developers, and Product Owners.

• Collaborate with Product Owners to implement cloud use cases effectively.

• Participate in architectural discussions, iteration planning, and feature sizing.

• Follow Agile processes and contribute to Agile ceremonies.

All About You:

The ideal candidate is passionate about solving complex problems with elegant solutions and has experience improving processes to boost efficiency. You should have a proven track record of leading technology transformations for large, legacy platforms and guiding the migration from on-premises systems to the cloud. Experience in navigating industry standards (e.g., PCI-DSS), data privacy regulations (e.g., GDPR), and security policies is essential.

The ideal candidate has experience with:

• Data platform engineering concepts, architecture design patterns, and industry best practices.

• Cloud data platforms like Databricks.

• Cloud infrastructure, particularly AWS and/or Azure.

• Expert in data engineering techniques.

• Proficiency in Python, Scala, Spark, Hadoop platforms and tools (Hive, Impala, Airflow, NiFi, Sqoop), and SQL to build Big Data products and platforms.

• Developing and deploying production-level data applications and workflows/pipelines, including machine learning systems in Java, Scala, or Python, with full lifecycle involvement—from data ingestion to feature engineering, modeling, and evaluation.

• Designing scalable data migration solutions using cloud and data lake technologies, along with data transformation tools like Airflow and NiFi for data pipeline orchestration and SQL Server SSIS for ETL.

• Cloud security models, encryption strategies, and network layers for hybrid on-prem and cloud environments.

• Curiosity, creativity, and enthusiasm for technology and innovation.

• Strong quantitative and problem-solving skills.

• An ability to multitask with attention to detail.

• Self-motivation, flexibility, and independence in managing your workload.

Location Requirements: This is a hybrid position based in Mastercard's O'Fallon, Missouri location.

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Mastercard is an 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. 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.

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 based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. 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 new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 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, gender-inclusive benefits and many more.

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