Senior Software Engineer

Mastercard

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Arlington, VA
Salary: $132,000–$212,000 / yr
Posted: 8 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $164k

This role $172k

$109k $224k

below market most similar roles pay here above market

This role pays less than 51% of similar roles. Most pay $149,500–$178,175 — the blue band above. At the midpoint, this role pays about $172k 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 150 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 142 roles with salary data.

Most-posted roles

View all roles at Mastercard

At a glance

TL;DR · Senior Software Engineer

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The Senior Software Engineer joins the Economic Intelligence team to design, build, and operate scalable data systems that transform billions of global transaction records into trusted insights. This role focuses on modernizing data workloads from on-premises Hadoop technologies to Databricks and cloud-based services. You will develop production-ready pipelines, own complex data platform capabilities from ingestion to consumption, and provide technical leadership for architecture decisions. Key responsibilities include diagnosing performance issues, mentoring engineers, and translating business requirements into durable technical solutions. The position requires proficiency in Python, SQL, Spark, Hive, Impala, and Databricks. Candidates must possess expertise in query optimization, data Lakehouse patterns, and cloud object storage while supporting data-intensive products involving machine learning, generative AI, or agent-based capabilities within a production environment.

What does a Software Engineer earn in Virginia?

Median $165000 from 125 postings across 23 companies.

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Skills

Python SQL Spark Databricks Hive Impala Hadoop Workflow Orchestration Data Lakehouse Cloud Object Storage Machine Learning Generative AI Data Governance Data Lineage Distributed Systems

What you'll do

Design, develop, test, and operate scalable data-processing solutions using Python, SQL, Spark, and Databricks.
Lead the modernization of on-premises data workloads to Databricks and cloud-based platforms.
Own complex data platform capabilities from ingestion and transformation through publishing and consumption.
Build production-ready pipelines with data-quality controls, observability, and recovery procedures.
Diagnose and resolve complex performance, reliability, and data-quality issues across distributed systems.
Translate business and analytical requirements into durable technical solutions with product managers and data scientists.
Mentor engineers and share technical knowledge to strengthen engineering practices across distributed teams.
Reduce technical debt by balancing near-term product delivery with long-term platform sustainability.

What we're looking for

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM discipline, or equivalent practical experience.
Experience modernizing workloads from Hadoop-based environments to cloud or Databricks platforms.
Experience with Hive, Impala, workflow orchestration, data Lakehouse patterns, or cloud object storage.
Advanced SQL expertise, including query optimization and modeling for very large datasets.
Knowledge of data governance, privacy, security, data lineage, and access-control practices.
Experience supporting analytical, economic, financial, or other data-intensive products.
Experience applying machine learning, generative AI, or agent-based capabilities within production systems.
Work authorization.