Principal Data Engineer

IVID TEK INC; Fairmeadows (NC); Hybrid; USD 120,000 - 160,000; Full time

Job summary

IVID TEK INC is seeking a Principal Data Engineer to design and implement enterprise-grade data processing systems. This role requires expertise in real-time data pipelines using Java, Kafka, and Spark, along with strong microservices and API development experience.

The ideal candidate will have over 10 years in data engineering or backend development, with significant familiarity with event-driven architectures. The position allows for considerable autonomy to architect scalable solutions.

Qualifications

• 10–12+ years experience in Java/backend or data engineering.
• Hands-on experience building real-time data pipelines using Kafka and Spark.
• Strong Microservices and API development experience.

Responsibilities

• Architect and implement data platforms and distributed processing systems.
• Build production-ready Spark applications for both batch and real-time processing.
• Design Kafka-based event streaming and ingestion pipelines.

Skills

Java/backend or data engineering

Real-time data pipelines (Kafka, Spark Streaming/Flink)

Relational databases (Redshift, PostgreSQL, Snowflake)

NoSQL databases (MongoDB or similar)

Microservices experience (Spring Boot, REST APIs)

API development and consumption

SQL and data modeling skills

AWS experience (S3, Glue, EMR, Redshift)

CI/CD, Git, Docker/Kubernetes familiarity

Job description

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.