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# Senior Data Engineer

- **Company:** Mastercard
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $115,000 - $184,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Application Frameworks, Computing Platforms, Microsoft Azure, Big Data, Cloud Computing, Cyber Security, Information Systems, Continuous Integration, Data Architecture, Data Governance, Extract Transform Load (ETL), Dataspaces, Data Systems, Data Warehousing, Distributed Data Store, Distributed Systems, Apache Hadoop, Information Lifecycle Management, Python (Programming Language), Machine Learning, Meta-Data Management, Operational Data Store, Systems Development Life Cycle, Software Engineering, SQL Databases, Data Streaming, Data Ingestion, Apache Spark, Git, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Apache Kafka, Data Management, Data Pipelines, Legacy Systems, Programming Languages
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-atlanta-ga--911efbbc-b37e-4c08-8137-eb9b5d29237e

## About the Role

Marketing, Scalable System Development, Artificial Intelligence (AI), Campaigns, Customer/Client Research, Ecosystems, Software Engineering, Cloud Computing, Product Management, Data Science, * 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.

## Description

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., * 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 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.