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Flexible Shuffle Master Jobs (NOW HIRING)

We are currently seeking motivated, energetic and flexible candidates to work onboard leading ... Promotes and serves as Master of Ceremonies in Sports Deck activities, and Vitality programs.

We are currently seeking motivated, energetic and flexible candidates to work onboard leading ... Promotes and serves as Master of Ceremonies in Sports Deck activities, and Vitality programs.

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle ... Understand and implement best practices in management of data, including master data, reference ...

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle ... Understand and implement best practices in management of data, including master data, reference ...

Flexible Shuffle Master information

See salary details

$15

$32

$45

How much do flexible shuffle master jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for flexible 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.

What are the most commonly searched types of Shuffle Master jobs?

The most popular types of Shuffle Master jobs are:

Java Spark Engineer

Inficare Technologies

Berkeley Heights, NJ • On-site

$65/hr

Full-time

Posted 12 days ago


Job description

Job Title: Java Spark Engineer
Location: Berkeley Heights, NJ (5 days onsite - flexibility to support weekends)
Job Type: Contract
Experience: 7+ years Java development; 5+ years Apache Spark in production
Job Overview
Key Responsibilities
  • Architect and build scalable, fault-tolerant data pipelines using Apache Spark (Java)
  • Drive performance tuning: partitioning strategy, memory management, shuffle/skew optimization
  • Mentor mid-level and junior engineers; act as technical escalation point
  • Partner with product, analytics, and platform teams to translate requirements into scalable systems
  • Own production reliability - incident response and root-cause analysis for pipeline failures
  • Contribute to capacity planning and cost optimization for cluster infrastructure
Required Skills
  • 7+ years professional Java development experience
  • 5+ years hands-on Apache Spark in production environments
  • Expert-level distributed systems knowledge: fault tolerance, data locality, shuffle mechanics, resource management
  • Proven track record designing systems at terabyte+ scale
  • Strong SQL and deep familiarity with columnar storage formats: Parquet, ORC, Avro, Delta Lake/Iceberg
  • Experience with cluster managers: YARN, Kubernetes, cloud-managed Spark
  • Proficiency with Apache Kafka
  • Strong grasp of CI/CD, containerization, and infrastructure-as-code practices
Preferred Skills
  • Experience with Apache 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
Location & Work Model
Berkeley Heights, NJ - fully onsite, 5 days per week. Candidates must be flexible to support weekend operations when needed.
Engagement Details
5 openings available. Contract engagement. Bachelor's or Master's degree in Computer Science, Engineering, or related field required.