Java Spark Developer-Software Engineer II

Deloitte•Jersey City, NJ

108d•$80,600 - $134,300•Onsite

About The Position

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Software Engineer II - Java Spark Developer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Requirements

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
3+ years of experience in software, systems, or embedded engineering.
3+ years of experience working Java/J2EE
3+ years of professional software engineering experience focusing on Java/J2EE and Big Data frameworks.
3+ years of experience in Core Languages: Deep proficiency in Java (Java 8 or higher) and solid understanding of Object-Oriented Programming (OOP) and concurrency patterns.
3+ years of experience with Spark Ecosystems: Hands-on expertise using Apache Spark APIs (RDDs, Data Frames, Datasets, and Spark SQL).
Databases: Expert-level knowledge of SQL alongside hands-on experience with databases
Testing Frameworks: Proven track record of writing reliable unit tests using JUnit
Experience with microservices, event-driven architectures, or distributed systems patterns.
Familiarity with containerization (Docker) and orchestration (Kubernetes).
Understanding of network protocols, security best practices, and scalable API design.
Experience with Git, CI/CD pipelines, and modern DevOps practices.
Experience working within Agile/Scrum development teams, participating in sprint planning, code reviews, and collaborative solutioning.
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
Limited immigration sponsorship may be available
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Nice To Haves

Experience developing or deploying AI solutions, custom hardware, or high-performance platforms.
Proven ability to communicate complex technical concepts clearly and effectively.
Analytical ability to manage multiple projects and prioritize tasks into manageable work products
Can operate independently or with minimum supervision
Excellent Written and Communication Skills
Ability to deliver technical demonstrations

Responsibilities

Design, implement, and maintain scalable, fault-tolerant data pipelines using Java and the Apache Spark framework.
Build complex ETL / ELT workflows to extract, transform, and load massive data volumes from diverse sources.
Optimize and debug existing Spark configurations, partition strategies, and memory allocation to resolve bottlenecks.
Write highly optimized, clean, and testable Java code compliant with SOLID principles and standard design patterns.
Write advanced SQL queries and integrate pipelines with relational databases (RDBMS), NoSQL stores, and distributed storage systems.
Support deployment pipelines by using build automation tools and managing version control.
Participate actively in Agile ceremonies (daily stand-ups, sprint planning, and code reviews).