Senior Data Engineer

Mastercard

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Atlanta, GA
Salary: $115,000–$184,000 / yr
Posted: 6 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $164k

This role $150k

$105k $211k

below market most similar roles pay here above market

This role pays less than 57% of similar roles. Most pay $126,800–$200,312 — the blue band above. At the midpoint, this role pays about $150k versus about $164k for comparable roles.

Based on 240 similar postings.

Employer

About Mastercard

Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services

Mastercard currently has 143 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 136 roles with salary data.

Most-posted roles

View all roles at Mastercard

At a glance

TL;DR · Senior Data Engineer

Role Posting Log in to save

The Senior Data Engineer joins the Marketing Services Technology team to build scalable data platforms, pipelines, and services. This role focuses on powering marketing measurement, customer insights, campaign optimization, and AI/ML capabilities. The engineer will design and maintain batch, streaming, and real-time data pipelines while developing reusable frameworks for ingestion, transformation, and orchestration. Key responsibilities include supporting enterprise data lake, warehouse, and lakehouse solutions, improving platform reliability, and migrating legacy systems to cloud-native architectures. Required technical skills include SQL, Python, Java, or Scala, along with experience in Spark, Kafka, Hadoop, and cloud platforms like AWS, Azure, or GCP. The role requires expertise in data modeling, ETL/ELT patterns, CI/CD, and infrastructure as code to solve complex data lifecycle and governance problems.

What does a Data Engineer earn?

Median $160500 from 198 postings across 59 companies.

See salary data

Skills

SQL Python Java Scala Spark Kafka Hadoop AWS Azure GCP CI/CD Infrastructure as Code Git ETL ELT Data Governance Observability

What you'll do

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.
Implement data quality, observability, governance, security, lineage, and monitoring capabilities.
Support the migration of legacy platforms to modern cloud-native architectures.
Establish engineering standards across CI/CD, infrastructure as code, testing, and automation.
Troubleshoot complex production issues and lead root-cause analysis to improve service reliability.
Mentor engineers and provide technical leadership across various data initiatives.

What we're looking for

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.
Experience with Git, CI/CD, DevOps automation, infrastructure as code, testing, deployment, and observability.