Jersey City, NJ

Data Jobs in Jersey City, NJ

4 jobs found

Include remote jobs

3d ago

Data Engineer

Citi Jersey City, NJ

Jersey City, NJ

3d ago

$142k - $213k/yr Full time AWS Aws Glue Big Data

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Job Description

Citi, a global financial services leader, offers an onsite Data Engineer position in Jersey City that sits at the intersection of data platforms and business impact. This AVP level role blends hands-on development with advisory duties as you help define and deploy new or revised application systems in close coordination with the Technology team. A bachelor’s degree or equivalent experience and a minimum of five years in related roles are required, with a salary range of USD 142,320 to 213,480 per year.

Responsibilities

Conduct feasibility studies, time and cost estimates, IT planning, risk assessment, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of the development process from analysis to design, construction, testing, and implementation, and provide user and operational support on applications to business users
Apply in-depth specialty knowledge of applications development to analyze complex problems, evaluate business and system processes, consider industry standards, and make evaluative judgments
Recommend and develop security measures in post-implementation analyses to ensure successful system design and functionality
Consult with users, clients, and other technology groups on issues, propose advanced programming solutions, and install or assist with customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Operate with limited direct supervision and exercise independence of judgment and autonomy
Act as subject matter expert to senior stakeholders and other team members
Assess risk in business decisions, upholding Citi’s reputation and safeguarding clients and assets by complying with laws and regulations, applying ethical judgment, and escalating and reporting control issues with transparency

Requirements

5-8 years of relevant experience
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting or project management techniques or methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Technologies

AWS Glue
AWS Athena
Airflow
Snowflake
MongoDB
Oracle
PostgreSQL
Unix shell scripting
Python
PySpark
Ab Initio (EME, GDE, Co-op)

Benefits

Discretionary and formulaic incentive and retention awards
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages (vacation, sick leave, and paid holidays)

Job specifics

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: $142,320.00 - $213,480.00

Posting timeline

Anticipated posting close date: Jun 09, 2026

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15d ago

Data Engineer - Project Delivery Senior Analyst

Deloitte Jersey City, NJ

Jersey City, NJ

15d ago

$77k - $128k/yr Full time Big Data Cloud Operations Cloud Platform

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Job Description

Deloitte seeks a Data Engineer - Project Delivery Senior Analyst in Jersey City, NJ (onsite) to design, build, and operate scalable data pipelines and curated datasets on AWS and Snowflake for analytics and downstream applications.

Responsibilities

Design, build, and operate scalable batch and near real-time data pipelines on AWS.
Create robust ingestion patterns from source systems into S3 and Snowflake.
Develop transformation layers and curated datasets in Snowflake, including dimensional and data product modeling for analytics and downstream applications.
Implement orchestration and workflow automation on AWS, with retry logic, backfills, and idempotent processing.
Develop reusable Python components for ingestion, validation, and transformations; enforce standards through code reviews and testing.
Support Snowflake performance and cost optimization through warehouse sizing, concurrency strategies, query tuning, clustering/micro-partitioning, and workload isolation.
Collaborate with stakeholders to translate requirements into well-defined datasets and data contracts.
Maintain regular communication with Engagement Managers (Directors), project teams, and cross-functional stakeholders, escalating issues that require engagement management attention.
Lead and collaborate on client engagement workstreams focused on improvement, optimization, and transformation of processes, including implementing best-practice workflows and driving operational outcomes.

Requirements

4+ years of experience as a Data Engineer delivering production-grade data pipelines and curated datasets.
4+ years of hands-on experience with SQL and Python, including Snowflake and/or PySpark for scalable data processing and ELT.
4+ years designing, building, and supporting batch and near real-time data pipelines on cloud platforms (AWS preferred; Azure/GCP acceptable).
Experience with data integration frameworks and orchestration tools.
Working knowledge of Lakehouse/warehouse architectures and ELT patterns.
Knowledge of DevOps principles, including CI/CD pipelines, version control, Infrastructure-as-Code.
Ability to optimize data storage, partitioning, file formats (Delta, Parquet), and overall performance.
Understanding of data quality, data governance, and metadata management.
Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related IT discipline, or equivalent experience.
Limited immigration sponsorship may be available.
Ability to travel approximately 10 percent, depending on client engagement and project needs.

Technologies

AWS
Snowflake
S3
Python
PySpark
SQL
Delta
Parquet

Benefits

Discretionary annual incentive program

Preferred

Agile delivery experience
Analytical ability to manage multiple projects and prioritize tasks into manageable work products
Ability to operate independently or with minimal supervision
Excellent written and verbal communication skills
Ability to deliver technical demonstrations

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27d ago

Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite

Yoh, A Day & Zimmermann Company Jersey City, NJ

Jersey City, NJ

27d ago

$56 - $80/hr Contract Apache Airflow Automation Contract Development

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Job Description

What you get with Yoh, a Day & Zimmermann Company, goes beyond a competitive hourly rate. Eligible employees receive a comprehensive benefits package and access to certification and training opportunities, plus a collaborative, hybrid onsite work environment in Jersey City, NJ. This contract role offers an hourly range of USD 56 - 80, with weekly epayroll and a pathway to contribute to mission-critical data platforms.

This contract Senior Data Engineer role centers on building and optimizing Airflow DAGs, modeling with dbt Core, and operating in Kubernetes/OpenShift environments on-prem, with on-site collaboration in Jersey City.

Responsibilities

Design, operate, and tune scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads.
Develop Apache Airflow DAGs hands-on within Kubernetes-based on-prem OpenShift environments.
Create and deploy dbt Core models within an on-prem Kubernetes/OpenShift setup.
Architect workflow orchestration, data modeling, performance optimization, and distributed workload management in containerized environments.
Collaborate with infrastructure teams on Kubernetes operations, Airflow design and implementation, and on-prem dbt model development.

Requirements

10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments.
Hands-on experience deploying dbt Core and Apache Airflow on Kubernetes, specifically within an on-prem OpenShift environment.
Close collaboration with infrastructure teams on Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup.
Deep, practical experience with dbt and Airflow within Kubernetes-based, on-prem environments.

Technologies

Apache Airflow
dbt Core
Kubernetes
OpenShift

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1mo ago

Lead Financial Crimes Data Engineer / NetReveal Architect (Application Programmer III

Experis Jersey City, NJ

Jersey City, NJ

1mo ago

Full time AWS Data Engineer Data Integration

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Job Description

This onsite role in Jersey City, NJ, seeks a Lead Financial Crimes Data Engineer and NetReveal Architect to design, develop, and deploy sanctions and AML screening solutions on the NetReveal platform within the Financial Crimes Compliance team.

Responsibilities

Architect, develop, and deploy enterprise sanctions and AML screening workflows on NetReveal.
Partner with cross functional teams to plan, refine, and deliver project stories on schedule with high quality outputs.
Leverage deep Oracle SQL, PL/SQL, and Informatica ETL expertise to process large scale data efficiently.
Optimize database schemas and queries to support scalable, high performance processing in high volume environments.
Engage business stakeholders to understand requirements and translate them into technical solutions.

Requirements

15+ years of application development experience in financial crimes, sanctions, or AML domains.
Proficiency in Oracle database architecture, SQL, PL/SQL, and Informatica PowerCenter and IDMC.
Hands-on experience with relational and dimensional data modeling, including star and snowflake schemas.
Familiarity with cloud and data engineering concepts, containers, and platforms such as Docker, Kubernetes, AWS, Azure, or GCP.
Strong understanding of financial crimes workflows, sanctions screening, PEP/negative news screening, and related processes.

Technologies

NetReveal
Oracle SQL
PL/SQL
Informatica PowerCenter and IDMC
Docker
Kubernetes
AWS
Azure
GCP

Benefits

Opportunity to contribute to impactful initiatives within a leading financial institution.
Exposure to advanced data engineering and AML/sanctions screening technologies.
Collaborative environment that supports innovation and continuous learning.
Potential for career progression within a global organization.
Comprehensive health and wellness benefits after a waiting period.

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Data Jobs in Jersey City, NJ

Data Engineer

Data Engineer - Project Delivery Senior Analyst

Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite

Lead Financial Crimes Data Engineer / NetReveal Architect (Application Programmer III

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