job summary:
We are seeking a Senior Apache Spark Developer to help build and expand our next-generation data processing platform. This role will focus on designing and developing distributed data processing solutions using Apache Spark while leveraging an existing enterprise Kafka ecosystem.
The successful candidate will play a critical role in scaling our data processing capabilities, enabling cloud adoption, and supporting strategic migration initiatives involving Databricks and AWS. This position offers the opportunity to work on high-volume, mission-critical data platforms processing large-scale real-time and batch workloads.
location: Jersey City, New Jersey
job type: Contract
salary: $59.75 - 69.75 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
- Design, develop, and optimize Spark-based applications for large-scale data processing.
- Build streaming and batch data solutions leveraging Apache Kafka and Apache Spark.
- Develop reusable frameworks and components supporting enterprise data engineering initiatives.
- Support migration efforts from on-premises data platforms to Databricks and AWS.
- Collaborate with architects and platform engineers to implement cloud-native data solutions.
- Optimize Spark jobs for performance, scalability, reliability, and operational efficiency.
- Participate in system design, code reviews, testing, and production support activities.
- Implement CI/CD, monitoring, and observability practices for distributed data applications.
- Troubleshoot and resolve complex issues across Spark, Kafka, Databricks, and cloud environments and with other enterprise messaging systems.
qualifications:
Required Qualifications
5+ years of hands-on development experience with Apache Spark.
Strong expertise in:
Spark SQL
Structured Streaming
DataFrames/Datasets
Performance tuning and optimization
Experience integrating Spark with Apache Kafka.
Strong development skills in:
Java
Python
Experience designing and supporting large-scale distributed systems.
Solid understanding of software engineering principles, object-oriented design, and testing practices.
Experience working with relational and distributed data platforms.
Bachelor's Degree
Preferred Qualifications
Databricks experience (SQL).
AWS experience, including services such as:
S3
EMR
Glue
Lambda
ECS/EKS
Experience supporting large-scale cloud migration initiatives.
Experience with lakehouse architectures and modern data platform patterns.
Experience handling multi-terabyte or petabyte-scale datasets.
Financial services or regulated industry experience.
skills:
S3,AWS,AWS experience,Spark SQL,Kafka,Apache Kafka,Apache Spark,Spark,reusable frameworks,large-scale data processing,cloud environments,code reviews,CI/CD,data platform,data platforms,data processing,Streaming,data solutions,Databricks,distributed data processing,distributed data,large-scale distributed systems,enterprise messaging systems,Java,object-oriented design,Performance tuning and optimization,Python,SQL,software engineering principles,Troubleshoot,reliability,operational efficiency,Financial services,observability practices,production support,scalability,system design,testing,testing practices
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
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