Top 390 Data engineer Jobs in Carlstadt Nj

Data Engineer, Vice President
Citi —Jersey City, NJ
- $142,320 - $213,480 a year
- Full-time
- 6 years
- System design
- Office
- Paid holidays
- Disability insurance
1d
Data Engineer
DCI Solutions —New York, NY
- $175,000 - $260,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- Bachelor of Science
- Health savings account
- Relocation assistance
Quick Apply
12d
Data Engineer
Vaco by Highspring —Jersey City, NJ
- $140,000 - $170,000 a year
- SQL
- Mentoring
- In-person
- Health insurance
- Dental insurance
Quick Apply
7d
Data Engineer
Tandym Group —New York, NY
- Up to $75 an hour
- Contract
- 5 years
- Office
- SQL
Quick Apply
5d
Data Engineer
Pierre Fabre —Secaucus, NJ
- $90,000 - $115,000 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- Office
- Paid parental leave
- Paid holidays
Data Engineer
Michael Kors —East Rutherford, NJ
- $110,000 - $127,000 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
- Wellness program
- Commuter assistance
Data Engineer
Adidev Technologies Inc —Jersey City, NJ
- Remote
- Azure
- Computer Science
- Mid-level
- Flexible schedule
Quick Apply
GCP Data Engineer - W2/Remote
Tricon Solutions —Secaucus, NJ
- $45 - $50 an hour
- On call
- Remote
- SQL
- Mentoring
- Scripting
Quick Apply
Data Engineer
Zoetis —Parsippany-Troy Hills, NJ
- $105,000 - $151,000 a year
- Online Application
- Remote
- Computer science
- Computer Science
- System design
- Profit sharing
- Health insurance
Data Engineer - AWS, python
JSR Tech Consulting —Newark, NJ
- $60 - $70 an hour
- Contract
- Hybrid work
- Computer Science
- System design
- Mid-level
Quick Apply
Senior Data Engineer - PGIM Technology
Prudential —Newark, NJ
- $115,000 - $155,000 a year
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Mid-level
- Employee stock purchase plan
- Disability insurance
Data Engineer - AWS
JSR Tech Consulting —Newark, NJ
- $60 - $70 an hour
- Contract
- Hybrid work
- Computer Science
- 5 years
- System design
Quick Apply
14d
Data Engineer
Chord Commerce, Inc —New York, NY
- $140,000 - $180,000 a year
- Full-time
- Remote
- System design
- SQL
- Machine learning
- Health insurance
- Paid time off
Quick Apply
Data Engineer
PrizePicks —New York, NY
- $105,000 - $140,000 a year
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
- Paid parental leave
- Disability insurance
Quick Apply
Data Engineer
BDG —New York, NY
- $105,000 - $145,000 a year
- Full-time
- Hybrid work
- Azure
- Mid-level
- SQL
- Health insurance
- Dental insurance
Data Engineer
Qode —Florham Park, NJ
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Analysis skills
Quick Apply
Data Engineer with Financial Services, Databricks and MDM Experience - HYBRID - USC and GC only / Onsite Interview
Yoh, A Day & Zimmermann Company —Jersey City, NJ
- $65 - $80 an hour
- Contract
- Hybrid work
- Computer science
- Azure
- Computer Science
- Health savings account
- Disability insurance
Quick Apply
6d
Data Pipeline Reliability Engineer
DCI Solutions —New York, NY
- $160,000 - $200,000 a year
- Full-time
- Azure
- Java
- AWS
- Health savings account
- Relocation assistance
Quick Apply
12d
Data Engineer (Remote / Contract)
Verve —New York, NY
- $30 - $50 an hour
- Contract
- Remote
- Mid-level
- SQL
- AWS
Data Engineer
David Yurman Enterprises LLC —New York, NY
- $140,000 - $150,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
- Health insurance
- 401(k)
Quick Apply

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data engineer jobs near carlstadt nj

Data Engineer, Vice President

Citi -
Jersey City, NJ

Apply Now

Job Details

Full-time
$142,320 - $213,480 a year
1 day 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)
Systems integration
Data Integration (Data management)
Tooling
Technical documentation
NoSQL
Schema design
SQL
ETL process automation
Query execution time improvement
Integration Platforms (Enterprise solutions)
System tuning
Query management
Python
Design (software development lifecycle)

Full Job Description

Senior data engineering role delivering large-scale data integration solutions across CRM ecosystems using ETL tooling, Python automation, and advanced SQL/NoSQL capabilities.

Position Summary:

The Vice President, Technology (Data Engineer) will lead the design and delivery of enterprise-grade data integration solutions supporting CRM and Analytics platforms. This role requires deep hands-on expertise in ETL/ELT engineering, Python scripting for automation and data loads, and exceptional proficiency across both relational (SQL) and non-relational (NoSQL) data technologies. The successful candidate will partner with architecture, application, and business teams to build reliable, secure, and scalable pipelines that enable analytics, operational reporting, and downstream system integration.

Key Responsibilities:

Data integration delivery: Design, build, and operate robust batch and near-real-time integration pipelines for CRM data domains (e.g., customers, products, orders, invoices, service interactions).
ETL/ELT engineering: Develop and optimize workflows using enterprise ETL tools; establish reusable patterns for ingestion, transformation, and publish layers.
Python engineering: Build Python-based utilities and frameworks for data loads, automation, validation, reconciliation, and operational tooling.
SQL excellence: Write and tune complex SQL (query optimization, indexing strategy awareness, incremental loads, CDC patterns, and performance troubleshooting).
NoSQL competence: Apply non-relational data modeling and query patterns where appropriate (document/columnar/key-value/graph), including performance and consistency considerations.
Data quality and controls: Implement validation rules, error handling, auditability, and reconciliation controls; create monitoring/alerting to meet SLAs/SLOs.
Architecture and design: Contribute to system architecture and integration design decisions (data contracts, schemas, idempotency, versioning, resiliency).
Security and compliance: Ensure data pipelines follow security best practices (encryption, access control, secrets management) and align with retention and privacy requirements.
Collaboration: Work closely with CRM application teams, enterprise architects, and analytics consumers to align on data definitions and delivery priorities.
Operational ownership: Participate in release planning, production support, incident triage, and continuous improvement to enhance reliability and reduce run-time cost.

Required Qualifications:

6-10 years of experience in data engineering, data integration, or platform engineering with a focus on large enterprise programs.
Proven track record delivering data integration for ERP and/or CRM platforms in complex environments.
Strong hands-on experience with one or more enterprise ETL/ELT tools (e.g., Informatica, DataStage, SSIS, Talend, Azure Data Factory, Matillion, dbt or similar).
Advanced Python skills for data processing, automation, and scripting (packaging, logging, error handling, and testing discipline).
Expert-level SQL skills, including performance tuning and data warehousing concepts (dimensional modeling awareness a plus).
Working knowledge of NoSQL concepts and at least one NoSQL technology (implementation experience preferred).
Strong understanding of data pipeline fundamentals: incremental loading, late-arriving data, schema evolution, and end-to-end observability.
Ability to communicate clearly with both technical and non-technical stakeholders; strong documentation and design skills.

Preferred Qualifications:

Experience with streaming/event-driven data integration (e.g., Kafka or similar) and CDC-based ingestion patterns.
Experience with cloud data platforms and modern lakehouse/warehouse ecosystems.
Knowledge of data governance practices (metadata, lineage, data quality frameworks).
Experience implementing DevOps practices for data engineering (CI/CD for pipelines, infrastructure-as-code, automated testing).

Core Competencies:

Engineering rigor: Writes maintainable, testable code and designs resilient systems.
Problem solving: Diagnoses data issues quickly and drives root-cause resolution.
Ownership mindset: Takes accountability for production outcomes and operational reliability.
Partnership: Collaborates effectively across application, architecture, and business teams.

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

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:

Jul 12, 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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data engineer jobs in carlstadt nj