Senior Java Spark Engineer Onsite: Data Pipeline Architect

Saransh Inc; Berkley (AL); On-site; USD 150,000 - 210,000; Full time

Job summary

Saransh Inc. seeks a Java Spark Engineer to architect and implement scalable data pipelines using Apache Spark in production. You will lead batch and streaming ETL/ELT designs, optimize performance, and set coding standards across a growing team.

Located on-site in Berkley Heights, NJ, the role requires 10+ years of experience, deep distributed systems knowledge, and strong SQL with columnar formats. Collaboration with product and analytics teams is essential.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 7+ years of professional Java development experience.
• 5+ years hands-on experience with Apache Spark in production environments.
• Expert-level understanding of distributed systems: fault tolerance, data locality, shuffle mechanics, resource management.
• Proven track record designing systems processing terabyte+ scale data.
• Strong SQL skills and deep familiarity with columnar storage formats (Parquet, ORC, Avro, Delta Lake).
• Experience with cluster managers (YARN, Kubernetes) and cloud-managed Spark.
• Proficiency with Kafka.
• Strong grasp of CI/CD, containerization, and infrastructure-as-code practices.

Responsibilities

• Architect and build scalable, fault-tolerant data pipelines using Apache Spark (Java)
• Lead design of batch and streaming ETL/ELT systems handling large data volumes
• Deep-dive performance tuning: partitioning strategy, memory management, shuffle/skew optimization, job cost reduction
• Set coding standards and lead code/design reviews across the team
• Drive technical decisions on data architecture, storage formats, and pipeline orchestration
• Mentor mid-level and junior engineers; act as a technical escalation point
• Partner with product, analytics, and platform teams to translate requirements into scalable systems
• Own production reliability - on-call ownership, incident response, root-cause analysis for pipeline failures
• Evaluate and introduce new tools/frameworks where they improve the system
• Contribute to capacity planning and cost optimization for cluster infrastructure

Skills

Java development

Apache Spark

Distributed systems

SQL

Kafka

CI/CD

Containerization

Orchestration

Education

BSc/ MSc CS or related

Tools

YARN

Kubernetes

Parquet/ORC/Avro/Delta

Delta Lake

Kafka

Job description

Saransh Inc. seeks a Java Spark Engineer to architect and implement scalable data pipelines using Apache Spark in production. You will lead batch and streaming ETL/ELT designs, optimize performance, and set coding standards across a growing team.

Located on-site in Berkley Heights, NJ, the role requires 10+ years of experience, deep distributed systems knowledge, and strong SQL with columnar formats. Collaboration with product and analytics teams is essential.