Senior Apache Spark Developer

Apex Systems; Jersey City (NJ); On-site; USD 152,000 - 234,000; Full time

Job summary

Apex Systems is seeking a Senior Apache Spark Developer in Jersey City, NJ to design and build distributed data processing solutions using Spark and Kafka, with migration to Databricks and AWS.

You will contribute to cloud-native data platforms, optimize Spark jobs, and implement CI/CD and observability across the data stack. Requires 5+ years of Spark experience and strong Java/Python skills.

Qualifications

• 5+ years of hands-on development experience with Apache Spark.
• Experience designing and supporting large-scale distributed systems.
• Experience with relational and distributed data platforms.

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 for 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 design reviews, testing, and production support activities.
• Implement CI/CD, monitoring, and observability practices for distributed data applications.
• Troubleshoot issues across Spark, Kafka, Databricks, and cloud environments.

Skills

Spark

Kafka

Java

Python

Education

Bachelor’s Degree

Tools

Databricks

AWS

Kafka

Job description

Job#: 3053738 - Senior Apache Spark Developer

Location: Jersey City, New Jersey (Onsite)

Employment Type: Contract

Contract Duration: 10 Months

Role Overview

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 role in scaling data processing capabilities, enabling cloud adoption, and supporting strategic migration initiatives involving Databricks and AWS.

Key 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 issues across Spark, Kafka, Databricks, and cloud environments and with other enterprise messaging systems.

Required Qualifications

Education: Bachelor’s Degree.

Experience: 5+ years of hands‑on development experience with Apache Spark. Experience designing and supporting large-scale distributed systems. Experience working with relational and distributed data platforms.

Technical Skills: Strong expertise in Spark SQL, Structured Streaming, DataFrames/Datasets, and performance tuning. Experience integrating Spark with Apache Kafka. Strong development skills in Java and Python.

Preferred Qualifications

• Databricks experience (SQL).
• AWS experience (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.

Benefits

• Medical, dental, vision, life, disability and other insurance plans that offer an optional layer of financial protection.
• ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure.
• HSA (Health Savings Account on the HDHP plan).
• SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions.
• Corporate discount savings program and other discounts.
• On-demand training program; access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure; certification discounts and other perks to associations that include CompTIA and IIBA.

Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.

If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at [email protected] or 804‑523‑8228. Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.