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Kafka Engineer

  • Kafka Engineer job type Posted on: Oct 14, 2026
  • Kafka Engineer experience level Openkyber
  • Kafka Engineer employment type Atlanta, Georgia
  • Kafka Engineer employment type Onsite
  • Kafka Engineer salary Full-time

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Job Title :

Kafka Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Role : Java Spark Engineer

Location : Berkley Heights, NJ

Work Mode : 5-days in office

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

Required 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/Iceberg)
  • Experience with cluster managers (YARN, Kubernetes) and cloud-managed Spark
  • Proficiency with Kafka
  • Strong grasp of CI/CD, containerization, and infrastructure-as-code practices

Preferred Qualifications

  • Experience with Flink or other stream-processing frameworks
  • Familiarity with data governance, lineage, and quality frameworks
  • Experience with workflow orchestration at scale
  • Background in system design for multi-tenant or multi-region data platforms
  • Prior experience leading a team or acting as a technical lead

Soft Skills / Leadership

  • Excellent communication - able to explain technical tradeoffs to non-technical stakeholders
  • Strong mentorship and coaching ability
  • Comfortable driving ambiguous, cross-team technical initiatives

Behavioral Skills: Good Communication skills 5 days Work from Office at Berkley Heights, NJ Team Player Ability to work in a changing environment Strong problem solving and analytical skills Ability to work independently or within a team Manage day-to-day challenges and communicate developmental risks with the technical team

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 14, 2026

Reference Number:

89323-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Role : Java Spark Engineer

Location : Berkley Heights, NJ

Work Mode : 5-days in office

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

Required 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/Iceberg)
  • Experience with cluster managers (YARN, Kubernetes) and cloud-managed Spark
  • Proficiency with Kafka
  • Strong grasp of CI/CD, containerization, and infrastructure-as-code practices

Preferred Qualifications

  • Experience with Flink or other stream-processing frameworks
  • Familiarity with data governance, lineage, and quality frameworks
  • Experience with workflow orchestration at scale
  • Background in system design for multi-tenant or multi-region data platforms
  • Prior experience leading a team or acting as a technical lead

Soft Skills / Leadership

  • Excellent communication - able to explain technical tradeoffs to non-technical stakeholders
  • Strong mentorship and coaching ability
  • Comfortable driving ambiguous, cross-team technical initiatives

Behavioral Skills: Good Communication skills 5 days Work from Office at Berkley Heights, NJ Team Player Ability to work in a changing environment Strong problem solving and analytical skills Ability to work independently or within a team Manage day-to-day challenges and communicate developmental risks with the technical team

For applications and inquiries,

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