Senior Data Engineer

Mastercard•Atlanta, GA

12d•$115,000 - $184,000•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.

Benefits

insurance (including medical, prescription drug, dental, vision, disability, life insurance)
flexible spending account and health savings account
16 weeks of new parent leave
up to 20 days of bereavement leave
80 hours of Paid Sick and Safe Time
25 days of vacation time
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