Senior Data Engineer
Mastercard1 day ago
Base Salary
$115k - $184k/yr
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 migration from legacy platforms to modern cloud-native architectures.
- Establish engineering standards for CI/CD, infrastructure as code, testing, automation, and production support.
- Troubleshoot complex production issues and lead root-cause analysis.
- 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.
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 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 modeling, ETL/ELT patterns, data architecture, and data lifecycle management.
- Experience with AWS, Azure, or GCP cloud platforms.
- 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.
- Preferred experience leading technical initiatives, influencing architectural decisions, or mentoring engineers.
- Preferred experience modernizing legacy data platforms or supporting cloud migration programs.
- Exposure to marketing technology, campaign measurement, customer insights, or marketing analytics is preferred.
- An advanced degree in a related technical discipline is preferred.
Benefits
- Competitive base salary of $115,000–$184,000 for Atlanta, Georgia, with possible annual bonus or commissions depending on the role.
- Benefits generally include medical, prescription drug, dental, vision, disability, and life insurance; flexible spending and health savings accounts; paid leave; sick and safe time; vacation; personal days; paid holidays; 401(k) matching; fitness reimbursement or facilities; and tuition reimbursement.
- The role is described as full-time; no remote or hybrid arrangement is stated.
Tech Stack
Categories
Data Engineering
About Mastercard
Mastercard builds and operates a global payments network used by banks, merchants, fintechs, and governments, offering card processing, real-time payments, tokenization, and fraud/risk services. It generates revenue from transaction processing and assessment/service fees across more than 200 countries and territories. Founded in 1966 and headquartered in Purchase, New York, Mastercard is a public company listed on the NYSE (ticker: MA).