Senior Software Engineer

Job Title: Senior Software Engineer Full Stack / Data Platform

Work Location: Arlington, VA
Work Model: Hybrid
Work Auth: All visas accepted (No H1 and No Fake profiles)
Important: Only candidates currently located near Arlington, VA should be considered due to the onsite/Hybrid requirement.

Job Summary

We are seeking a technically strong Senior Software Engineer with experience building scalable full-stack applications, enterprise data platforms, and distributed systems.

The ideal candidate will have strong hands-on experience with Java, Spring Boot, React, TypeScript, Databricks, Spark, PySpark, SQL, and Hadoop/Cloudera. This role will contribute to architecture, design, development, performance optimization, and delivery of enterprise-grade platforms that enable secure data onboarding, exchange, discovery, and consumption.

The engineer will work closely with Product, Engineering, Data Governance, Security, and business stakeholders in a fast-paced Agile environment.

Required Skills

• Strong hands-on experience with Java and Spring Boot
• Full-stack development experience
• Strong experience with TypeScript and React
• Experience developing REST APIs and backend services
• Strong experience with Databricks
• Experience with Apache Spark / PySpark
• Experience with Hadoop / Cloudera
• Strong SQL skills
• Experience designing and developing distributed systems
• Experience building scalable enterprise data platforms
• Strong understanding of object-oriented programming and API design
• Experience with data-intensive applications
• Experience optimizing large-scale data processing workloads
• Strong understanding of scalable system design and software architecture
• Experience with CI/CD pipelines
• Automated testing and software quality practices
• Code review and engineering best practices
• Experience working across cloud and on-premises environments
• Strong troubleshooting and performance-tuning skills
• Excellent communication and cross-functional collaboration skills

Preferred Skills

• Kafka
• Apache Flink
• Apache NiFi
• Modern cloud-native data services
• Data governance and security
• Enterprise data integration
• Secure data exchange
• Data discovery and consumption platforms
• AI/GenAI integration within enterprise data platforms
• AI governance and guardrails
• Experience building reusable frameworks and shared platforms
• Mentoring or supporting junior engineers

Key Responsibilities

• Design, develop, and maintain scalable enterprise data platforms and distributed systems
• Build full-stack applications using Java/Spring Boot, React, and TypeScript
• Develop and optimize data-processing solutions using Databricks, Spark, PySpark, and SQL
• Build capabilities supporting enterprise data onboarding, exchange, discovery, and consumption
• Develop scalable APIs, backend services, and integration components
• Contribute to application and data-platform architecture
• Participate in architecture, design, and code reviews
• Write clean, maintainable, efficient, and well-tested code
• Identify and resolve performance bottlenecks across APIs, services, data workloads, and user-facing applications
• Support CI/CD, automated testing, and continuous improvement
• Collaborate with Product, Data Governance, Security, Engineering, and business teams
• Build reusable platforms and frameworks that support multiple products and teams
• Support data security, governance, and enterprise engineering standards
• Mentor team members and contribute to engineering best practices
• Continuously improve scalability, reliability, performance, and developer productivity

Education

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field
• Master's degree preferred