Data Engineer II

Posted An Hour Ago
O'Fallon, MO, USA
Hybrid
92K-147K Annually
Entry level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
We are a global technology company in the payments industry.
The Role
Designs, develops, and maintains scalable data pipelines, transformations, datasets, and curated data products for credit risk, reporting, analytics, decisioning, and machine learning. The role uses SQL, Python, Databricks, and Spark; implements data quality controls; supports production monitoring and troubleshooting; collaborates with analytics, data science, product, and engineering teams; and contributes to cloud migration and data platform modernization.
Summary Generated by Built In
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
Data Engineer II
Overview:
Mastercard's Enterprise Credit Risk (ECR) team is seeking a Data Engineer II to design, build, and maintain data platforms and products that support credit decisioning, risk analytics, regulatory reporting, and machine learning initiatives.
In this role, you will work with large and complex datasets to develop scalable, reliable, and high-quality data solutions. You will collaborate with engineers, data scientists, risk analytics, and product partners to translate business needs into effective data products and pipelines. This is an opportunity for an engineer to deepen their data engineering expertise while contributing to modern cloud-based platforms and ECR's ongoing data modernization efforts.
This is a hybrid role based in O'Fallon, MO, requiring three days per week onsite.
Role:• Design, develop, test, and maintain scalable data pipelines, transformations, and datasets supporting ECR products and initiatives.• Build and optimize ETL/ELT workflows using technologies such as SQL, Python, Databricks, and Spark.• Develop and maintain curated data products that support reporting, analytics, credit decisioning, and other business use cases.• Partner with Product, Risk Analytics, Data Science, and Engineering teams to understand requirements and translate them into effective technical solutions.• Implement data validation, testing, and quality controls to ensure data accuracy, consistency, and reliability.• Support the deployment, monitoring, and ongoing operation of production data pipelines and workflows.• Investigate and troubleshoot data and pipeline issues, contributing to root cause analysis and resolution.• Participate in code reviews and follow established engineering standards, best practices, and development processes.• Contribute to the modernization of data platforms, including cloud migration and adoption of modern data engineering technologies.• Document data solutions, pipelines, data flows, and operational processes.• Identify opportunities to improve the performance, reliability, scalability, and efficiency of data solutions.
All About You:• Experience as a Data Engineer or in a similar technical role, with a solid understanding of core data engineering concepts, methodologies, and best practices.• Experience designing, building, and maintaining ETL/ELT pipelines and data transformations.• Strong SQL skills, including the ability to write and optimize queries to retrieve, transform, and analyze large datasets efficiently.• Experience with Python or another programming language used for data processing and automation.• Experience working with relational databases, including Postgress, and an understanding of data modeling and database design.• Familiarity with cloud-based data platforms and modern data engineering technologies.• Familiarity with distributed data processing technologies such as Databricks, Apache Spark, or comparable platforms.• Understanding of data testing, validation, and quality practices to ensure accuracy and consistency across data pipelines.• Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues and develop effective solutions.• Ability to manage multiple tasks and priorities while working effectively in a fast-paced environment.• Ability to work independently while collaborating effectively across cross-functional and Agile teams.• A continuous improvement mindset, with the ability to think critically, innovate, and identify opportunities to enhance data solutions.• Strong verbal and written communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders.• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related STEM discipline. Equivalent practical experience will also be considered.
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: $92,000 - $147,000 USD

Skills Required

  • Experience as a Data Engineer or in a similar technical role
  • Experience designing, building, and maintaining ETL/ELT pipelines and data transformations
  • Strong SQL skills, including writing and optimizing queries for large datasets
  • Experience with Python or another programming language for data processing and automation
  • Experience with relational databases, including PostgreSQL
  • Understanding of data modeling and database design
  • Familiarity with cloud-based data platforms and modern data engineering technologies
  • Familiarity with Databricks, Apache Spark, or comparable distributed data processing technologies
  • Understanding of data testing, validation, and quality practices
  • Strong analytical and problem-solving skills
  • Ability to manage multiple tasks and priorities in a fast-paced environment
  • Ability to work independently and collaborate across cross-functional and Agile teams
  • Strong verbal and written communication skills
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related STEM discipline, or equivalent practical experience

What the Team is Saying

Jenny
Mastercard

Mastercard Compensation & Benefits Highlights

  • Retirement Support Retirement plans are presented as best-in-class with a high company match on 401(k) or local equivalents. Career materials and U.S. postings consistently highlight retirement matching as a standout feature.
  • Leave & Time Off Breadth U.S. postings describe generous paid time off including vacation, personal days, holidays, sick/safe time, and additional bereavement leave. A hybrid policy and a limited “work from elsewhere” option further support time away.
  • Parental & Family Support Company pages state a global minimum of 16 weeks of paid new-parent leave across birth, adoption, and foster, plus family-building assistance where permitted. Mental-health resources and caregiving supports are also emphasized.

Mastercard Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Purchase, NY
38,800 Employees
Year Founded: 1966

What We Do

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient 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.

Why Work With Us

We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Mastercard Teams

Team
Technology
Team
Cybersecurity and Threat Intelligence
Team
Consulting
Team
AI and Data
About our Teams

Mastercard Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

In our ongoing workplace evolution, we’ve introduced hybrid work, Work-From-Elsewhere Weeks and Meeting-Free Days.

Typical time on-site: 3 days a week
Company Office Image
HQPurchase, NY
Arlington, VA
Company Office Image
Atlanta, GA
Bogotá, CO
Boston, MA
Chicago, IL
Company Office Image
Dublin, Dublin
Gurugram, Gurugram
Company Office Image
London, GB
Company Office Image
Miami, FL
Mumbai, Maharashtra
Company Office Image
New York, NY
Company Office Image
O'Fallon, MO
Company Office Image
Pune, Maharashtra
Ramat Gan, IL
Company Office Image
Saint Leonards, St Leonards
San Francisco, CA
São Paulo, SP
Seattle, WA
Singapore, SG
Company Office Image
Toronto, Ontario
Vancouver, BC
Learn more

Similar Jobs

Mastercard Logo Mastercard

Platform Engineering Intern, Summer 2027 - St. Louis, MO, US

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
O'Fallon, MO, USA
38800 Employees
25-30 Hourly

Mastercard Logo Mastercard

Director, Technical Program Management

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
O'Fallon, MO, USA
38800 Employees
152K-258K Annually

Mastercard Logo Mastercard

Senior Analyst, Finance Business Partner

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
O'Fallon, MO, USA
38800 Employees
88K-141K Annually

Mastercard Logo Mastercard

Lead Data Engineer

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
O'Fallon, MO, USA
38800 Employees
140K-231K Annually

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account