# Senior Data Engineer

**Company**: Mastercard
**Location**: Atlanta, Georgia
**Experience**: senior
**Job type**: full-time
**Salary**: $115,000 - $184,000 USD
**Category**: Engineering
**Industry**: Finance

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Atlanta-Georgia/Senior-Data-Engineer_R-290891?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_17ee284b-539

## Description

Mastercard's Marketing Services Technology team is seeking a Senior Data Engineer to design, build, and maintain scalable data platforms, pipelines, and services. As a Senior Data Engineer, you will partner with cross-functional teams to deliver secure, reliable, and high-quality data solutions that power marketing measurement, customer insights, campaign optimization, and advanced analytics.

Key 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

- 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 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

Benefits:

- Insurance (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

- 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

## Skills

### Required
- SQL
- Python
- Java
- Scala
- Spark
- Kafka
- Hadoop
- AWS
- Azure
- GCP
- Git
- CI/CD
- DevOps

### Nice to have
- Experience leading technical initiatives
- Influencing architectural decisions
- Mentoring engineers
- Modernizing legacy data platforms
- Supporting cloud migration programmes
- Exposure to marketing technology
- Campaign measurement
- Customer insights
- Marketing analytics

---

Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Atlanta-Georgia/Senior-Data-Engineer_R-290891?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)