Top 608 Sr. java software engineer Jobs in Jersey City, Nj

Senior AI & Data Engineering Lead - Senior Vice President
Citi —Jersey City, NJ
- $176,720 - $265,080 a year
- Full-time
- Office
- Java
- Master's degree
- Paid holidays
- Disability insurance
4d
Fullstack Engineer Team Lead Senior Vice President
Citi —Jersey City, NJ
- $176,720 - $265,080 a year
- Full-time
- System design
- Office
- Bachelor's degree
- Paid holidays
- Disability insurance
6d
Senior Software Engineer
Disney Entertainment and ESPN Product & Technology —New York, NY
- $148,700 - $199,400 a year
- Computer Science
- 5 years
- System design
Senior Java Developer
Tavant Technologies, Inc. —New York, NY
- $120,000 - $140,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
- Relocation assistance
- Health insurance
Quick Apply
Senior Back-end Java Developer - Trading Platforms, VP
Citi —Jersey City, NJ
- $142,320 - $213,480 a year
- Full-time
- Computer Science
- System design
- Office
- Paid holidays
- Disability insurance
1d
Full Stack Developer - P&C Insurance
Saama Technologies Inc —Jersey City, NJ
- Full-time
- Azure
- Computer Science
- 11+ years
6d
Java Developer
Tata Consultancy Services —Jersey City, NJ
- $110,000 - $125,000 a year
- Computer Science
- System design
- Mid-level
13d
Software Development Engineer, Workshop Studio
Amazon Web Services, Inc. —Jersey City, NJ
- $143,700 - $213,800 a year
- Full-time
- Computer science
- Computer Science
- Software troubleshooting
- AD&D insurance
- Health insurance
4d
Sr. Backend Engineer
Sunbit —Jersey City, NJ
- $160,000 - $190,000 a year
- Email
- Hybrid work
- Computer science
- Computer Science
- 5 years
- Health savings account
- Health insurance
Quick Apply
Sr Software Engineer (Hadoop & NoSQL)
Ishi Systems Inc —Jersey City, NJ
- Full-time
- Computer Science
- 5 years
- Bachelor of Science
- Disability insurance
- Health insurance
Senior Lead Software Engineer - Payments Tech / Java
JPMorganChase —Jersey City, NJ
- $171,000 - $260,000 a year
- Full-time
- Computer science
- Computer Science
- 5 years
- Health insurance
- Tuition reimbursement
Sr. Software Engineer
Fidelity TalentSource —Jersey City, NJ
- $70 - $100 an hour
- Weekends as needed
- Hybrid work
- Computer Science
- Java
- Databases
Senior Software Engineer
Pearson —Hoboken, NJ
- $120,000 - $140,000 a year
- Full-time
- Computer science
- Azure
- 6 years
Senior Performance Engineer
Fidelity TalentSource —Jersey City, NJ
- $70 - $100 an hour
- Email
- Hybrid work
- Computer science
- Azure
- Computer Science
Entry -Mid Android Developer
Adidev Technologies Inc —Jersey City, NJ
- $30 - $40 an hour
- Full-time
- Mid-level
- In-person
- 1 year
- Relocation assistance
Quick Apply
Java, BigData, Regulator Reporting System
Choice Associates —Jersey City, NJ
- Full-time
- System design
- Research
- 8 years
Quick Apply
Cyber AI Data Engineer Senior Consultant
Deloitte —Jersey City, NJ
- $105,400 - $207,800 a year
- Full-time
- Java
- SQL
- Bachelor's degree
10d
Senior AI Engineer for Banking Technology
Citi —Jersey City, NJ
- $142,320 - $213,480 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- System design
- Paid holidays
- Disability insurance
Lead Software Engineer- Java
JPMorganChase —Jersey City, NJ
- $152,000 - $215,000 a year
- Full-time
- Azure
- 5 years
- Java
- Health insurance
- Tuition reimbursement
Software Engineer Tech Lead
Rad Hires —Hoboken, NJ
- $180,000 - $210,000 a year
- Full-time
- Hybrid work
- Management
- System design
- Office
- Paid parental leave
- Disability insurance
Quick Apply

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Senior AI & Data Engineering Lead - Senior Vice President

Citi -
Jersey City, NJ

Apply Now

Job Details

Full-time
$176,720 - $265,080 a year
4 days ago

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance

Qualifications

Data model design
Commercial use (data warehousing systems)
Cloud analytics services
Software engineering
Authorization controls implementation
Application systems
Data modeling projects
Data validation techniques
Managing projects in an engineering role
Workflow management (operations management method)
Spark
NoSQL
Managing IT teams
Scalable systems
Managing data teams
Schema design
Infrastructure architecture design
SQL
Azure Data Lake Storage
Cloud database architecture
Data integrity process (data warehousing)
Data access controls implementation
Leading team collaboration initiatives
Scalability
Managing projects
Reducing data breach risk by implementing security protocols
Kafka
Access control management
Metadata
Analysis (software development lifecycle)

Full Job Description

This job description outlines a senior-level role for a data architect or lead data engineer within a Data Services team. The position is centered on building and managing the data infrastructure required to support large-scale Generative AI and Machine Learning initiatives. Below is a detailed breakdown of the responsibilities and the skills required for such a role

Expanded Responsibilities

This role combines deep technical expertise in data engineering with strategic thinking and leadership. The core responsibilities can be broken down into three main pillars:

1. Strategic AI Enablement

This goes beyond just building databases; it's about designing the entire data foundation for the company's AI strategy.

Data Ecosystem Architecture: You will be responsible for the high-level design of the data platform. This includes:
- Data Lake/Lakehouse Design: Implementing a central repository to store vast amounts of structured, semi-structured, and unstructured data from various sources. This could involve technologies like AWS S3, Azure Data Lake Storage, or Google Cloud Storage.
- Federated Querying: Leveraging technologies like Starburst (commercial Trino) to create a virtual data warehouse. This allows data consumers (analysts, data scientists, AI models) to query data across different sources (e.g., data lakes, relational databases, NoSQL databases) with a single SQL query, without needing to move or copy the data.
- Scalability and Performance: Ensuring the architecture can scale horizontally to handle petabytes of data and a high volume of concurrent queries, which is critical for pre-training large language models (LLMs).

2. Advanced AI Ops & Data Pipelines

This is the hands-on engineering aspect of the role, focused on the movement and processing of data.

High-Throughput Data Pipelines: You will lead the development of the data "plumbing" that powers the AI systems. This includes:
- Batch Processing: Using Apache Spark for large-scale data transformation, cleaning, and feature engineering on historical data.
- Real-time Stream Processing: Using Apache Kafka as a messaging bus to ingest real-time data from sources like application logs, IoT devices, or clickstreams. Apache Flink would be used for complex event processing on these streams (e.g., fraud detection, real-time recommendations).
Optimization and Reliability: Your pipelines must be not only fast but also resilient. This involves:
- Low Latency: Tuning jobs and infrastructure to minimize the time it takes for data to travel from source to destination.
- High Availability: Implementing failover mechanisms, monitoring, and alerting to ensure the data pipelines are always running and the AI models have uninterrupted access to fresh data.
- CI/CD for Data: Implementing DevOps and AI Ops best practices for data pipelines, including automated testing, deployment, and data quality checks.

3. AI Governance & Leadership

This pillar focuses on the "people" and "process" aspects of the role, ensuring data is used responsibly and effectively.

Data Governance for AI: As AI systems become more critical, the data they use must be trustworthy. You will establish frameworks for:
- Data Quality: Implementing automated checks and monitoring to ensure data is accurate, complete, and consistent.
- Data Provenance & Lineage: Creating systems to track where data comes from, how it has been transformed, and how it is used. This is crucial for debugging models and for regulatory compliance.
- Data Security: Working with security teams to implement access controls, data masking, and encryption to protect sensitive information, especially in the context of training AI models.
Team Leadership and Mentorship: This is a leadership role where you will be expected to:
- Mentor Data Engineers: Guide junior and mid-level engineers, conduct code reviews, and establish best practices for the team.
- Foster Innovation: Stay up-to-date with the latest technologies and methodologies in the data and AI space and encourage a culture of experimentation and continuous improvement.
- Cross-functional Collaboration: Work closely with data scientists, ML engineers, platform engineers, and business stakeholders to understand their needs and deliver effective data solutions.

Qualifications:

10+ years of relevant experience
Experience in implementing projects
Experience in systems analysis and programming of software applications
Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development
Demonstrated knowledge of client core business functions
Demonstrated leadership, project management, and development skills
Relationship and consensus building skills

Education:

Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred

Required Skills

To succeed in this role, a candidate would need a blend of technical depth, strategic vision, and leadership qualities.

Big Data Technologies

Processing Frameworks: Expert-level knowledge of Apache Spark. Strong experience with Apache Flink and Apache Kafka.
Query Engines: Deep understanding and hands-on experience with Trino (Starburst).
Orchestration: Experience with workflow management tools like Airflow or Prefect.

Data Architecture:

Data Modeling: Strong understanding of data modeling concepts for both analytical and operational systems.
Platform Design: Proven experience designing and building scalable data lakes, data warehouses, and lakehouse architectures.
Cloud Expertise: Proficiency with at least one major cloud provider (AWS, GCP, Azure) and their data services (e.g., S3, Glue, EMR, BigQuery, Databricks).

Governance & Security:

Data Governance: Experience implementing data quality frameworks, data lineage solutions, and data cataloging tools.
Security: Knowledge of data security best practices, including encryption, masking, and role-based access control (RBAC).

Programming:

Python: Expert-level proficiency.
SQL: Expert-level proficiency for complex analytical queries.
Scala/Java: Often beneficial for deep work in Spark or Flink.

Soft Skills:

Leadership: Proven ability to lead complex technical projects and mentor engineers.
Strategic Thinking: Ability to connect data strategy to broader business and technology objectives.
Communication: Excellent verbal and written communication skills to articulate complex technical concepts to both technical and non-technical audiences.
Problem-Solving: Strong analytical and troubleshooting skills.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location:

Jersey City New Jersey United States

Primary Location Full Time Salary Range:

$176,720.00 - $265,080.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date:

Jun 11, 2026

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Apply Now

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