Full-Stack Data Engineer

Overview

As a Full Stack Developer – Data Engineering in the Data Obfuscation team, you design scalable, secure data platforms for enterprise protection. You’ll work across on-prem and multi-cloud environments to deliver resilient data solutions and automation. Your work supports modernization, observability, and cost efficiency while enabling secure data processing at scale. You will partner with cross-functional teams to deploy AI-powered, metadata-driven data protection capabilities that protect unstructured data.

Responsibilities

• Design and deliver on-prem and multi-cloud database solutions using Java, Spring Boot, Angular, and Python
• Build high-performance data and metadata pipelines with robust error handling and parallel execution
• Develop secure, scalable database/ETL capabilities and RESTful services with governance in mind
• Create full-stack applications with responsive UIs, APIs, and integrations with database/ETL platforms
• Enable self-service, dashboards, workflow automation, and metadata-driven tooling via modern web tech and microservices
• Develop AI-driven data protection solutions using NLP and automated data masking techniques
• Create automations to support firmwide data engineering and app development teams
• Contribute to strategic initiatives around system modernization, platform standardization, observability, and cost efficiency
• Design, build, and maintain scalable data pipelines including ETL, performance optimization, and data movement
• Work with backup/restore, DDL manipulation, schema/object-level flows, and time travel with data platforms
• Implement pushdown optimization, ELT, Spark-based processing, replication, partitioning, and change data capture

Key requirements

• 4+ years of relevant experience
• Proven experience designing complex database and data solutions with full-stack development
• Extensive experience with PostgreSQL, DB2, SQL Server, Snowflake, MongoDB, Oracle, etc.
• Hands-on skills in Java/Spring Boot, Python, REST APIs, and Angular
• Strong understanding of API design, microservices, and secure authentication mechanisms (OAuth, tokens)
• 2+ years of Python for multi-threaded/multiprocessing/async work; Spark experience a plus
• Bachelor’s degree in Computer Science, Engineering, or related field
• Experience with AI/LLMs, RAG, or agentic workflows is a plus
• Experience with Talend, Kafka, Informatica for data pipelines (preferred)
• Knowledge of data obfuscation/security practices and data governance

• collaborative mindset
• analytical problem-solving
• strong communication
• Java
• Spring Boot
• Angular

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