989 Data Engineer jobs in Parsippany,NJ

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Senior Test Engineering Technician - AI Data Center Systems (Servers & GPUs)

Advanced Micro Devices

Secaucus, NJ 07094

~ 35 min Onsite

Associate degree in computer science, computer engineering, Information technology or equivalent experience preferred.
CompTIA A+ or equivalent experience.
CompTIA Server+ or equivalent experience.
Windows OS experience.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Human Resources Technology Data Engineer

LHH US

New York, NY 10022

$85-$100/hr

Hybrid~ 46 minHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, or a related field.
5-8 years of professional software engineering experience.
Proven track record of hands on development in enterprise scale systems, preferably in HR.
Strong proficiency in at least one core programming language (Python or Java).
Deep experience with relational databases, NoSQL stores, and complex query design.
Experience working with HR, people operations, or workforce analytics data, including sensitive data handling, HRIS integrations (e.g., Dayforce, Culture Amp, etc.), and secure data exchange patterns.
Demonstrated ability to build or support platforms involving employee lifecycle data, compensation structures, organizational hierarchies, and talent management workflows.

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Manufacturing Engineer

Coherent

Budd Lake, NJ 07828

~ 27 min Onsite

BS in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, Materials Science, Optical Engineering, or other relevant technical degree.
5+ years' experience in manufacturing engineering, process engineering, industrial engineering, or production operations within a precision manufacturing environment.
Demonstrated experience reducing manufacturing cost through cycle time reduction, yield improvement, labor efficiency, material utilization, scrap reduction, and routing accuracy.
Practical knowledge of Lean Manufacturing, Six Sigma, SPC, DOE, FMEA/PFMEA, process capability, root cause analysis, and corrective action methods.
Experience developing and maintaining manufacturing documentation including routers, travelers, work instructions, BOMs, process flows, standard labor assumptions, and control plans.
Working knowledge of automation, robotics, machine integration, data acquisition, and manufacturing systems used to improve process repeatability and throughput.
Proficiency with Microsoft Office tools and data analysis/reporting platforms; ability to interpret ERP/MRP, production, quality, and cost data to drive action.
Experience supporting optical, crystal, ceramic, sapphire, YVO4, or other precision component manufacturing processes.
Hands-on experience implementing automation, robotics, vision systems, AI-enabled analytics, or machine learning tools in a manufacturing environment.
Lean Six Sigma Green Belt/Black Belt, SME, ASQ, or equivalent continuous improvement certification.
Experience building cost models, capacity models, labor standards, OEE/throughput dashboards, or variance reduction scorecards.
Strong cross-functional leadership skills with ability to influence Operations, Quality, Planning, Engineering, Supply Chain, and Finance without direct authority.
Excellent problem-solving, communication, organization, and follow-through skills with a bias toward measurable business results.
Ability to regularly walk throughout manufacturing, assembly, test, coating, polishing, and warehouse areas.
Ability to stand for extended periods (up to 4-8 hours per day) while supporting production activities, process observations, and troubleshooting efforts.
Ability to occasionally lift and carry materials, tooling, fixtures, and equipment weighing up to 25 pounds.
Ability to bend, stoop, reach, kneel, and climb ladders or step stools as required to support manufacturing equipment and process improvements.
Ability to use standard office equipment, including computers, monitors, and engineering software for extended periods.
Ability to perform detailed visual inspections and review technical data, drawings, procedures, and manufacturing documentation.
Ability to work in cleanroom, laboratory, and manufacturing environments while wearing required personal protective equipment (PPE), including safety glasses, gloves, smocks, and protective footwear.
Ability to support manufacturing activities in environments that may include moving machinery, vibration, noise, and exposure to chemicals used in optical manufacturing processes while following established safety procedures.
Ability to occasionally work flexible hours to support production needs, equipment installations, process qualifications, and continuous improvement initiatives.
Ability to work in cleanroom, laboratory, and manufacturing environments while wearing required PPE, including safety glasses, gloves, smocks, and protective footwear.

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Principal Engineer - Python API Development

Fidelity Investments

Belleville, NJ 07109

~ 30 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.

SmartExplore AI is experimental.

New, Posted 18 hours ago

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Software Engineering/Applications Leadership Advisory - Executive Technology Services for Global Enterprises

Gartner

Newark, NJ 07175

New, Posted 19 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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New Product Manufacturing Engineer

CACI International Inc

Florham Park, NJ 07932

~ 21 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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Estimator

Specialized Fire & Security

Riverdale, NJ 07457

~ 20 min OnsiteUrgently Hiring

Minimum of 5 years experience in estimating low voltage systems
The ability to read architectural and engineering drawings and prints
Proficient in Bluebeam (REVU), Microsoft Excel & Microsoft Access
Ability to work independently and in team environment
Must be legally authorized to live within the USA
Must be legally authorized to work in the USA
Must be a legal citizen of the USA
Fluent in English

SmartExplore AI is experimental.

New, Posted 1 day ago

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Senior Distinguished Engineer, AI Compute (Remote Eligible)

Capital One

New York, NY 10001

Remote

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Manufacturing Engineer

Whippany Actuation Systems

Whippany, NJ 07981

$90,000-$110,000/yr

~ 12 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A bachelor's degree in manufacturing, Aerospace, or Mechanical Engineering from an accredited university or college;
One year of experience in a manufacturing environment which includes interpreting blueprints and familiarity with GD&T;
Previous experience with CAD systems;

SmartExplore AI is experimental.