Senior Software Engineer

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
Senior Software Engineer
1. Overview
At Mastercard, we're building the future of data integrity and trust. As part of our commitment to innovation and excellence, we're seeking a seasoned Data Quality Engineer to lead the development of scalable, cloud-based data quality solutions. This role is pivotal in ensuring our data pipelines meet the highest standards of accuracy, consistency, and completeness-aligned with Mastercard's global best practices.
You'll define requirements for new applications, customize solutions to Mastercard specifications, and provide mentorship and technical leadership to a high-performing team. If you thrive in a fast-paced, collaborative environment and are passionate about data quality, this is your opportunity to make a global impact.
2. The Role
As a Data Quality Engineer at Mastercard, you will:• Define and Develop: Build scalable data quality frameworks using PySpark and Databricks, aligned with Mastercard standards.• Integrate and Optimize: Design and manage ETL/ELT pipelines using Apache NiFi, Hadoop, and AWS (S3, Redshift, Glue, Lambda).• Monitor and Detect: Implement data quality monitoring tools (Informatica, Talend, Great Expectations) and Databricks anomaly detection.• Orchestrate and Automate: Demonstrate proficiency in workflow orchestration using Apache Airflow, integrating seamlessly with Databricks, AWS Step Functions, and Unix shell scripting to automate data quality checks and streamline operational processes for enhanced efficiency.• Collaborate and Align: Work closely with data engineers, scientists, and business stakeholders to define standards and resolve issues.• Document and Report: Maintain clear documentation of processes, metrics, and anomaly outcomes for stakeholder insights.• Mentor and Lead: Provide guidance and training to junior team members, fostering a culture of excellence and innovation.
3. All About You
You bring a powerful mix of experience, technical depth, and leadership:
Required Skills & Experience• Experience: Years in data engineering or data quality roles within big data environments.• Technical Mastery:
o PySpark and Databricks for pipeline development and optimization.
o AWS services (S3, Redshift, Glue, Lambda) for cloud integration.
o Apache NiFi and Hadoop ecosystem (HDFS, MapReduce, Hive).
o Data quality tools: Informatica, Talend, Great Expectations.
o Advanced SQL for validation and reconciliation.
o Apache Airflow, AWS Step Functions and Unix shell scripting for automation.• Problem-Solving: Proven ability to resolve complex data quality issues.• Collaboration: Strong communication skills and cross-functional teamwork.• Education: Bachelor's in Computer Science, Data Engineering, or related field (Master's preferred).
Nice-to-Have• Experience with Databricks Data Quality Monitoring and anomaly detection.• Familiarity with machine learning-based anomaly techniques.• Understanding of data governance (GDPR, CCPA).• Proficiency in Python or Scala.• Exposure to CI/CD pipelines and DevOps practices.
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 [email protected] 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 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 Ranges
O'Fallon, Missouri: $115,000 - $184,000 USD