Senior Data Engineer

Posted Yesterday
Atlanta, GA, USA
Hybrid
115K-184K Annually
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
We are a global technology company in the payments industry.
The Role
Build and maintain scalable batch, streaming, and real-time data pipelines, platforms, data lakes, warehouses, and lakehouses. Implement data quality, governance, security, observability, automation, and cloud modernization. Partner with product, engineering, analytics, data science, and business teams to deliver analytics, AI/ML, reporting, and customer insight solutions. Troubleshoot production issues, guide architecture, mentor engineers, and provide technical leadership across marketing data initiatives.
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
Senior Data Engineer
Overview:
Marketing Services Technology is seeking a Senior Data Engineer to build scalable data platforms, pipelines, and services that power marketing measurement, customer insights, campaign optimization, advanced analytics, and AI/ML capabilities.
This role partners with Product Management, Engineering, Data Science, Analytics, and Business teams to deliver secure, reliable, and high-quality data solutions. The Senior Data Engineer will also contribute to cloud modernization, platform architecture, automation, and operational excellence across the Marketing Services data ecosystem.
Role:
• Design, build, deploy, and maintain scalable batch, streaming, and real-time data pipelines.• Develop reusable frameworks for data ingestion, transformation, orchestration, and delivery.• Build and support enterprise data lake, data warehouse, and lakehouse solutions.• Improve platform scalability, performance, reliability, resiliency, and operational efficiency.• Implement data quality, observability, governance, security, lineage, and monitoring capabilities.• Enable reporting, advanced analytics, experimentation, AI/ML, and customer insight use cases.• Support the migration of legacy platforms to modern cloud-native architectures.• Establish engineering standards across CI/CD, infrastructure as code, testing, automation, and production support.• Troubleshoot complex production issues and lead root-cause analysis to improve service reliability.• Partner with product, engineering, analytics, and business teams to translate requirements into scalable data solutions.• Mentor engineers and provide technical leadership across data initiatives.• Contribute to architectural decisions and technology roadmaps for Marketing Services data platforms.
All About You:
• Bachelor's degree or equivalent experience in computer science, engineering, information systems, or a related technical field.• Strong experience designing scalable data platforms and distributed data-processing solutions.• Proficiency in SQL and at least one programming language such as Python, Java, or Scala.• Experience with technologies such as Spark, Kafka, Hadoop, or comparable large-scale data-processing frameworks.• Experience building data pipelines for analytics, reporting, machine learning, and operational data products.• Strong understanding of data modelling, ETL/ELT patterns, data architecture, and data lifecycle management.• Experience working with cloud platforms such as AWS, Azure, or GCP.• Knowledge of data governance, security, privacy, lineage, metadata management, and regulatory requirements.• Experience with Git, CI/CD, DevOps automation, infrastructure as code, testing, deployment, and observability.• Strong problem-solving skills with experience diagnosing complex issues in distributed environments.• Ability to balance technical quality with business priorities and customer outcomes.• Strong communication and collaboration skills across engineering, product, analytics, and business teams.
Preferred Experience:
• Experience leading technical initiatives, influencing architectural decisions, or mentoring engineers.• Experience modernizing legacy data platforms or supporting cloud migration programmes.• Exposure to marketing technology, campaign measurement, customer insights, or marketing analytics.• Advanced degree in a related technical discipline.
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
Atlanta, Georgia: $115,000 - $184,000 USD

Skills Required

  • Bachelor's degree or equivalent experience in computer science, engineering, information systems, or a related technical field
  • Experience designing scalable data platforms and distributed data-processing solutions
  • Proficiency in SQL and at least one programming language such as Python, Java, or Scala
  • Experience with Spark, Kafka, Hadoop, or comparable large-scale data-processing frameworks
  • Experience building data pipelines for analytics, reporting, machine learning, and operational data products
  • Understanding of data modeling, ETL/ELT patterns, data architecture, and data lifecycle management
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Knowledge of data governance, security, privacy, lineage, metadata management, and regulatory requirements
  • Experience with Git, CI/CD, DevOps automation, infrastructure as code, testing, deployment, and observability
  • Experience diagnosing complex issues in distributed environments
  • Strong communication and collaboration skills across engineering, product, analytics, and business teams
  • Experience leading technical initiatives, influencing architectural decisions, or mentoring engineers
  • Experience modernizing legacy data platforms or supporting cloud migration programs
  • Exposure to marketing technology, campaign measurement, customer insights, or marketing analytics
  • Advanced degree in a related technical discipline

What the Team is Saying

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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.

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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.

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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.

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