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Data Engineer

New Brunswick,NJ

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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
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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.
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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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Facilities Maintenance Technician (Building Engineer) - $10,000 Sign on Bonus

United Airlines

Newark, NJ 07102

$10,000 bonus
New, Posted 15 hours ago
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Head of AI Data Science, Intelligence Ventures

Spectrum Careers

New York, NY 10025

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