597 Data Engineer jobs in New Brunswick,NJ

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Senior Data Product Engineer, Commercial

Genmab

Plainsboro, NJ 08536

RemoteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

5+ years in data engineering, analytics engineering, or data platform development.
10+ years of experience IT with some in Biotech/Pharma industry
Expert-level proficiency in:
**DBT:** advanced macros, Jinja, testing, exposures, dbt Cloud deployment.
**Databricks:** Spark (PySpark, SQL), Delta Lake, Unity Catalog.
**Snowflake**
**AWS: S3, Glue, Lambda, Step Functions, Datasync, EMR, Redshift, IAM and networking/security fundamentals.**
**Data Visualization:** Power BI or Tableau.
Strong programming background in Python and SQL (including query optimization).
Proven experience with distributed systems and large-scale datasets (TB scale).
Experience implementing CI/CD pipelines, data testing, and infrastructure as code.
Solid understanding of data governance, security, and compliance in enterprise environments.

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IT Lead DataOps Data Engineer

Kenvue

Summit, NJ 07901

~ 40 min OnsitePaid Time Off

Bachelor's degree in Information Systems and Technology, Computer Engineering, or related field
8 years of experience in job offered or in an IT Lead DataOps Data Engineer-related occupation
Microsoft Power BI
Microsoft Azure Data Fundamentals
Microsoft Azure Fundamentals
Snowflake SnowPro Core Certification

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New, Posted 15 hours ago

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Lead Software Engineer - Data Streaming/Integration Platforms

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$155,700-$208,700/yr

New, Posted 6 hours ago

ResumeLibrary

Software Engineer

BrainTrust

New York, NY 10001

New, Posted 20 hours ago

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Director, Data Governance & Security

Princeton University

Princeton, NJ 08542

OnsiteUrgently Hiring

Bachelor's degree required
8+ years of relevant practical experience
Proficiency with technology and systems
Ability to quickly learn new systems and processes
Excellent written and oral communication skills
Discretion in dealing with highly confidential material
Excellent interpersonal skills and a high degree of professionalism and initiative
Excellent attention to detail; accuracy, flexibility and demonstrated ability to be proactive and to prioritize tasks
Strong problem-solving, data gathering and organizational skills
Strong computer skills, including proficiency in the Microsoft Office suite of applications (Word, Excel, PowerPoint and Outlook), CRM databases, ability to learn and manage alumni database information
Customer service orientation
Demonstrated ability to exercise independent judgment and make decisions based on established policies and procedures, and ability to interact with department staff, University Advancement staff and campus partners
Commitment to University Advancement's mission to inform, involve, and inspire Princeton's global community of alumni and friends, and adhering to its guiding principles of High Performance, Innovation, Civility, and Collaboration.

SmartExplore AI is experimental.

New, Posted 22 hours ago

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iHire

AI Engineer

Capital One

New York, NY 10001

New, Posted 15 hours ago

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Principal Quant Developer

Fidelity Investments

Newark, NJ 07175

~ 36 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in a computational field such as Computer Science
Minimum of 5 years of proven professional experience working in financial services (Asset Management experienced preferred)
Proven experience engaging with senior internal and external clients and partners
Experience with Python and micro-services / RESTful APIs
Experience working on AWS cloud environment and working knowledge of CI/CD & DevOps
Strong experience in system architecture, design patterns and software engineering fundamentals such as OOP, functional programming, data modeling.
Advanced understanding of data structures
Proven ability to capture requirements and formulate plans by partnering with various stakeholders

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New, Posted 1 day ago

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

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New, Posted 1 day ago

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