About
Job Title: Principal Data Engineer
Job Description
- Principal Data Engineer
Job Type:
Contract W2
Location:
Johnston, RI or Charlotte, NC or Boston,MA
Role Overview
Principal-level Java engineer to design and build enterprise-grade, real-time and batch data processing systems using Java, Spark, Kafka, and Microservices architecture. Strong focus on event-driven pipelines, API development (build + consume), and high-volume streaming platforms.
Key Responsibilities
• Architect, design, and implement enterprise-grade Java-based data platforms and distributed processing systems
• Build and maintain production-ready Spark applications (Java) for batch and real-time processing
• Design and evolve Kafka-based event streaming and ingestion pipelines
• Develop and consume REST APIs within microservices architecture
• Lead architecture ensuring scalability, reliability, and regulatory compliance
• Apply strong object-oriented design and engineering practices
• Mentor engineers on performance tuning and production readiness
• Design and implement MDM solutions (match, merge, survivorship logic)
• Ensure data quality, observability, and system stability
• Support production deployments and operational handoffs
Required Skills & Experience
• 10-12+ years experience in Java/backend or data engineering
• Hands-on experience building real-time data pipelines (Kafka, Spark Streaming/Flink)
• Solid knowledge of relational databases (Redshift, PostgreSQL, Snowflake) and NoSQL databases (MongoDB or similar)
• Strong Kafka and event-driven architecture experience
• Strong Microservices experience (Spring Boot, REST APIs)
• Experience in API development and API consumption
• Hands-on Spark experience (batch and streaming)
• Strong SQL and data modeling skills
• AWS experience (S3, Glue, EMR, Redshift)
• Experience in regulated/data governance environments
• CI/CD, Git, Docker/Kubernetes familiarity
Preferred
• Scala or Python experience
• Talend/DataStage exposure
• Data lake experience (Iceberg/Parquet)
• Frontend/API integration exposure
• Experience supporting large-scale production systems
Mandatory Screening Criteria
Candidates must have hands-on experience building real-time/event-driven data pipelines using Kafka and Spark/Flink, along with strong microservices and API development experience.
Languages
- English
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