

Envision Technology Solutions
Java Spark Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Java Spark Engineer, a long-term contract position based in Berkeley Heights, NJ. Requires 7+ years Java experience, 5+ years with Apache Spark, strong SQL skills, and expertise in distributed systems. Onsite work, 5 days a week.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
August 4, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
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π - Contract
W2 Contractor
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π - Security
Unknown
-
π - Location detailed
Berkeley Heights, NJ
-
π§ - Skills detailed
#Data Governance #Java #YARN (Yet Another Resource Negotiator) #Data Architecture #"ETL (Extract #Transform #Load)" #Delta Lake #Kubernetes #Computer Science #Apache Spark #Leadership #Cloud #Scala #Alation #Kafka (Apache Kafka) #Data Pipeline #Batch #Spark (Apache Spark) #Storage #SQL (Structured Query Language) #Strategy
Role description
Dear Applicant,
Please let me know if you are interested.
Position: Java Spark Engineer
Location: Berkeley heights, NJ (5 days onsite per week)
Hire Type: long term Contract
Job Description:
Responsibilities:
β’ Architect and build scalable, fault-tolerant data pipelines using Apache Spark (Java)
β’ Lead design of batch and streaming ETL/ELT systems handling large data volumes
β’ Deep-dive performance tuning: partitioning strategy, memory management, shuffle/skew optimization, job cost reduction
β’ Set coding standards and lead code/design reviews across the team
β’ Drive technical decisions on data architecture, storage formats, and pipeline orchestration
β’ Mentor mid-level and junior engineers; act as a technical escalation point
β’ Partner with product, analytics, and platform teams to translate requirements into scalable systems
β’ Own production reliability β on-call ownership, incident response, root-cause analysis for pipeline failures
β’ Evaluate and introduce new tools/frameworks where they improve the system
β’ Contribute to capacity planning and cost optimization for cluster infrastructure
Required Qualifications
β’ Bachelorβs or Masterβs degree in Computer Science, Engineering, or related field
β’ 7+ years of professional Java development experience
β’ 5+ years hands-on experience with Apache Spark in production environments
β’ Expert-level understanding of distributed systems: fault tolerance, data locality, shuffle mechanics, resource management
β’ Proven track record designing systems processing terabyte+ scale data
β’ Strong SQL skills and deep familiarity with columnar storage formats (Parquet, ORC, Avro, Delta Lake/Iceberg)
β’ Experience with cluster managers (YARN, Kubernetes) and cloud-managed Spark
β’ Proficiency with Kafka
β’ Strong grasp of CI/CD, containerization, and infrastructure-as-code practices
Preferred Qualifications
β’ Experience with Flink or other stream-processing frameworks
β’ Familiarity with data governance, lineage, and quality frameworks
β’ Experience with workflow orchestration at scale
β’ Background in system design for multi-tenant or multi-region data platforms
β’ Prior experience leading a team or acting as a technical lead
Soft Skills / Leadership
β’ Excellent communication β able to explain technical tradeoffs to non-technical stakeholders
β’ Strong mentorship and coaching ability
β’ Comfortable driving ambiguous, cross-team technical initiatives
Behavioral Skills:
1. Good Communication skills
1. 5 days Work from Office at Berkley Heights, NJ
1. Team Player
1. Ability to work in a changing environment
1. Strong problem solving and analytical skills
1. Ability to work independently or within a team
1. Manage day-to-day challenges and communicate developmental risks with the technical team
Dear Applicant,
Please let me know if you are interested.
Position: Java Spark Engineer
Location: Berkeley heights, NJ (5 days onsite per week)
Hire Type: long term Contract
Job Description:
Responsibilities:
β’ Architect and build scalable, fault-tolerant data pipelines using Apache Spark (Java)
β’ Lead design of batch and streaming ETL/ELT systems handling large data volumes
β’ Deep-dive performance tuning: partitioning strategy, memory management, shuffle/skew optimization, job cost reduction
β’ Set coding standards and lead code/design reviews across the team
β’ Drive technical decisions on data architecture, storage formats, and pipeline orchestration
β’ Mentor mid-level and junior engineers; act as a technical escalation point
β’ Partner with product, analytics, and platform teams to translate requirements into scalable systems
β’ Own production reliability β on-call ownership, incident response, root-cause analysis for pipeline failures
β’ Evaluate and introduce new tools/frameworks where they improve the system
β’ Contribute to capacity planning and cost optimization for cluster infrastructure
Required Qualifications
β’ Bachelorβs or Masterβs degree in Computer Science, Engineering, or related field
β’ 7+ years of professional Java development experience
β’ 5+ years hands-on experience with Apache Spark in production environments
β’ Expert-level understanding of distributed systems: fault tolerance, data locality, shuffle mechanics, resource management
β’ Proven track record designing systems processing terabyte+ scale data
β’ Strong SQL skills and deep familiarity with columnar storage formats (Parquet, ORC, Avro, Delta Lake/Iceberg)
β’ Experience with cluster managers (YARN, Kubernetes) and cloud-managed Spark
β’ Proficiency with Kafka
β’ Strong grasp of CI/CD, containerization, and infrastructure-as-code practices
Preferred Qualifications
β’ Experience with Flink or other stream-processing frameworks
β’ Familiarity with data governance, lineage, and quality frameworks
β’ Experience with workflow orchestration at scale
β’ Background in system design for multi-tenant or multi-region data platforms
β’ Prior experience leading a team or acting as a technical lead
Soft Skills / Leadership
β’ Excellent communication β able to explain technical tradeoffs to non-technical stakeholders
β’ Strong mentorship and coaching ability
β’ Comfortable driving ambiguous, cross-team technical initiatives
Behavioral Skills:
1. Good Communication skills
1. 5 days Work from Office at Berkley Heights, NJ
1. Team Player
1. Ability to work in a changing environment
1. Strong problem solving and analytical skills
1. Ability to work independently or within a team
1. Manage day-to-day challenges and communicate developmental risks with the technical team





