772 Data Engineer jobs in Edison,NJ

New, Posted 1 day ago

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Senior Vice President, Forward Deployed Engineer

BNY

New York, NY 10007

$104,000-$210,000/yr

Urgently Hiring

New, Posted 22 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

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Lead Systems Engineer (HPC)

Princeton University

Princeton, NJ 08542

~ 37 min Onsite

10+ years of strong experience managing advanced research computing systems.
Strong expertise with Linux system administration, installation, and troubleshooting.
Advanced experience writing scripts in languages such as bash, Python and/or Perl.
Proficient in managing networking in HPC environments.
Strong experience managing software in an advanced research computing environment.
Experience supporting scheduling and managing jobs (SLURM) in large-scale computing environments.
Strong oral and written communication skills, with the ability to proactively engage peers and communicate effectively across a diverse stakeholder community.
Strong ability to solve complex and system infrastructure problems, and share expertise with colleagues at all levels.
Demonstrated ability to collaborate across teams to solve systems and infrastructure challenges, aligning day‑to‑day operational needs with longer‑term technical and organizational goals as technologies evolve.
When provided access to personal, proprietary and/or otherwise confidential data, maintain such data in the strictest confidence and follow procedures to ensure the privacy, security, and proper use of data.
Education: Bachelors degree in a related field or equivalent experience.

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Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Capital One

New York, NY 10001

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Principal Engineer - Python API Development

Fidelity Investments

Elizabeth, NJ 07202

~ 27 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

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New, Posted 22 hours ago

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Staff Software Engineer - ServiceNow ITAM

The Walt Disney Company (Corporate) Careers

New York, NY 10025

$148,300-$198,800/yr

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New Product Manufacturing Engineer

CACI International Inc

Florham Park, NJ 07932

~ 43 min Onsite

Ability to work independently with minimal supervision and mentor lower-level professionals.
Must be a US person.
BA/BS degree in a technical discipline from an accredited college or university.
Minimum of five (5) years of experience as a manufacturing engineer or in a related role.
Percentage of Travel Required: Up to 10%
Type of Travel: Local

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New, Posted 13 hours ago

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Associate Director - External Data Acquisition Lead (EDAL)

Genmab

Plainsboro, NJ 08536

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in a relevant technical area; Master's degree preferred.
10+ years of experience in external or clinical data management, with strong third-party vendor oversight and data acquisition experience.
Experience working on Oncology trials/data
Experience designing and governing DTS and complex data flows supporting EDC integration and CDISC standards (CDASH, SDTM).
Strong knowledge of diverse external data types (e.g., biomarker, central lab, imaging, eCOA/ePRO, genomic) and ability to align acquisition strategies to clinical and analytical objectives.
Experience managing projects, vendors, and process improvements in global environments.

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New, Posted 4 hours ago

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Associate, Infrastructure Project Advisory (Construction/Engineering)

KPMG

New York, NY 10025

~ 48 min OnsiteHealth InsuranceRetirement Benefit

Minimum one year of recent experience in field construction management or construction advisory services with increasing roles and responsibilities in a variety of large capital project types for both public and private clients
Bachelor's degree or masters' degree in Engineering, Architecture, Building Science, Construction Management, or a related field from an accredited college or university
Professional Engineer, Project Management, Certified Construction Manager, Certified Public Accountant, American Institute of Architects, or other professional certification is preferred
Demonstrated client coordination and subcontractor management for full life cycle construction projects including planning and work breakdown structures, pre-construction services, sourcing and procurement of contracts, contract administration, scheduling, cost estimating, quality management, project reporting, and project closeout
Experience using various project management tools such as Procore, E-Builder, Primavera, Enterprise, Prolog, and other toolsets
Excellent written and verbal communication, documentation, records retention, and work paper organizational skills
Willingness and ability to travel
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future

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Sr. Manufacturing Engineering Manager

Crane Company

Caldwell, NJ 07006

~ 45 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

8+ years of relevant experience demonstrating expertise in manufacturing engineering and process development.
Strong understanding of continuous improvement tools, raw materials, production processes, quality control, and cost optimization techniques.
Critical thinking, time management, decision-making, and excellent communication skills; ability to motivate and develop teams effectively.
Bachelor's degree in electrical, Electro-mechanical, Industrial, or Mechanical
Eligibility Requirement: This position may require access to Controlled Data or Information. Where the position requires such access only US Persons will be considered. As a US Department of Defense contractor, we are bound by International Traffic in Arms Regulations (ITAR).
Working conditions are normal for a manufacturing environment
Manufacturing operations may require the use of safety equipment to include but not limited to: eye safety glasses, gowning, masks, hearing protectors, heel/wrist straps and any other required PPE
May be exposed to unusual environmental conditions such as loud noises, cold temperatures, confined spaces, dust or fumes
Schedule will fluctuate depending on the needs of the business
Standing: up to 100% *percentage is approximate and may vary depending on work task
Sitting: up to 100% *percentage is approximate and may vary depending on work task
Lifting (in pounds): up to 25 pounds
Pushing (in pounds): up to 25 pounds
Mental/Visual: use of computer
Workspace (line, cube, etc):work bench