below marketmost similar roles pay hereabove market
This role pays less than
61%
of similar roles. Most pay
$121,750–$169,050
— the blue band above.
At the midpoint, this role pays about
$138k
versus about
$145k
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
150 open roles
on FindRole.
Listed pay typically runs
$122,000–$207,000
across 142 roles with salary data.
The Software Engineer II joins the Economic Intelligence team to design and build data-driven analytical solutions that power economic insights. You will develop scalable data systems, build and optimize data pipelines, and contribute to machine learning and analytics capabilities to support business and client decision-making. The role involves transforming billions of global transaction data points into actionable insights regarding historical consumer spending and future trends. You will utilize Python, Spark, Hive, and Impala while driving a pivot from on-prem Hadoop ecosystems to cloud technologies like Databricks. Key responsibilities include writing clean code, optimizing SQL queries, and managing data architecture schemas. You will collaborate with data scientists and infrastructure teams to solve complex problems in financial services, retail, and government sectors.
What does a Software Engineer earn in Virginia?
Median $165000 from 125 postings across 23 companies.
Design and build scalable, maintainable data pipelines for economic insight products.
Develop robust data processing solutions using Python, Spark, Hive, and Impala.
Lead the migration of on-premise data systems to cloud technologies like Databricks.
Build and optimize data architecture and schemas to support analytics and machine learning.
Improve the performance, reliability, and maintainability of large-scale data systems.
Write clean, testable code and participate in peer code reviews to ensure high engineering standards.
Explore and adopt new tools and frameworks to improve data processing and analytics capabilities.
What we're looking for
Bachelor’s degree in Computer Science, Information Systems, Information Technology, or equivalent practical experience.
Previous experience in software engineering, data engineering, or a related field.
Strong programming fundamentals with Python preferred (other high-level languages also acceptable).
Solid SQL expertise, including writing optimized and maintainable queries.
Solid understanding of object-oriented design principles and software engineering best practices.
Familiarity with Linux command-line environments.
Experience working in Agile development environments.
Exposure to big data technologies such as Spark, Hive, or Impala (preferred); experience or interest in cloud platforms like Databricks, AWS, Azure, or GCP (preferred); interest in or exposure to machine learning, AI, or emerging agent-based systems (preferred).
Java
Spring Boot
React
PostgreSQL
Snowflake
Microservices
Full-Stack Development
Agile
GitHub CoPilot
Data Structures
Algorithms
System Architecture
Software Design Patterns
Python
Go
Java
C++
LLM
Machine Learning
DynamoDB
Terraform
Infrastructure as Code
Version Control
Prompt Engineering
A/B Testing
Information Retrieval
NoSQL