1136 Data Engineer jobs in Edison,NJ

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Senior Data Product Engineer, Commercial

Genmab

Plainsboro, NJ 08536

~ 34 min OnsiteUrgently 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.

SmartExplore AI is experimental.

New, Posted 23 hours ago

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Director, Full-Stack Engineer

BNY

New York, NY 10007

$136,500-$225,000/yr

Urgently Hiring

New, Posted 1 day ago

Engineering Manager/Asst Chief

Westin Governor Morristown

Morristown, NJ 07960

New, Posted 7 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 1 day ago

Enterprise Sales Engineer II, Spectrum Business

Spectrum Careers

New York, NY 10025

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Associate Director, Data Science

Princeton University

Princeton, NJ 08542

~ 37 min OnsiteUrgently Hiring

7+ years of professional experience required in an analytical or information specialist role within an academic, nonprofit, corporate or consulting setting.
Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
Keen desire to solve business problems, and to find patterns and insights within structured and unstructured data.
Expert in analyzing large, complex, multi-dimensional datasets with a variety of tools.
Accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS.
Experience with BI tools such as Tableau.
Having a good understanding of relational databases, warehouse design and architecture principles.
Familiarity with big data frameworks (e.g., such as Hadoop, Hive, Spark).
Good scripting and programming skills (e.g. familiarity with SQL, Python, Java).
Strong foundation in statistical, mathematical, predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find effective answers.
Familiar with disciplines such as: natural language processing, machine learning, conceptual modelling, statistical analysis, predictive modeling and hypothesis testing.
Able to create examples, prototypes, demonstrations to help management better understand the work.
Able to work autonomously.
Proficiency at planning and setting meaningful objectives to meet office goals. Ability to articulate and promote goals and implement strategic plans.
Education: Bachelor's Degree in operations research, applied statistics, data mining, machine learning, or a related quantitative discipline required.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Software Engineer - On-site NYC

BrainTrust

New York, NY 10007

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 48 min 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

SmartExplore AI is experimental.

New, Posted 1 hour ago

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Quality Engineer (Mechanical Manufacturing)

Experis

Belle Mead, NJ 08502

$28-$32/hr

~ 32 min Onsite

BS in Engineering Sciences required: such as Manufacturing, Industrial, Mechanical or related.
Location: Hillsborough NJ (Belle Mead, NJ) LOCAL CANDIDATES ONLY
Familiar with quality control methods, tools and techniques.

SmartExplore AI is experimental.

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