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On Call Shuffle Master Jobs (NOW HIRING)

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As of Sep 8, 2026, the average hourly pay for on call shuffle master in the United States is $32.53, according to ZipRecruiter salary data. Most workers in this role earn between $27.16 and $38.94 per hour, depending on experience, location, and employer.

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Urgent C2C Requirement : Java Spark Engineer : Berkley Heights, NJ

Tech Mirrors

Cleburne, TX • On-site

$150 - $200/hr

Other

Posted 20 days ago


Job description

Java Spark Engineer

Location: Berkley Heights, NJ (flexible to support weekend)

Looking only local consultants

Contract role

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
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