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Data Engineer

Parsippany,NJ

761 Data Engineer jobs in Parsippany,NJ

New, Posted 1 day ago
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Recruiting Systems & Data Integration Engineer

engin sciences

New York, NY 10025

RemoteHealth Insurance

  • Professional experience building ATS, HR technology, or recruiting-system integrations.
  • Familiarity with one or more ATS platforms such as Bullhorn, Avionte, JobDiva, Greenhouse, Lever, Workday, iCIMS, or SmartRecruiters.
  • Experience integrating third-party systems through REST APIs, webhooks, OAuth, scheduled jobs, file transfers, or data exports.
  • Strong Node.js, TypeScript and PostgreSQL skills.
  • Experience modeling and synchronizing interconnected records such as jobs, candidates, applications, submissions, and placements.
  • Experience designing data synchronization systems where correctness, idempotency, throughput, and recovery from partial failures matter.
  • Experience processing large volumes of operational data through batching, pagination, incremental synchronization, and backfills.
  • Ability to investigate unfamiliar systems, understand inconsistent data models, and turn ambiguous requirements into reliable solutions.
  • Strong debugging skills across authentication, data mapping, API behavior, synchronization state, and data quality.
  • A practical approach to engineering reliable systems without unnecessary complexity.
  • Comfort owning customer integration problems from initial discovery through deployment and ongoing support.
  • Experience incorporating coding agents into day-to-day software engineering work.
  • Experience leading technical conversations with both technical and nontechnical customer stakeholders, translating customer problems and workflows into clear integration requirements and practical solutions.
  • Experience handling sensitive customer and candidate data using appropriate security, privacy, access-control, and data-retention practices.
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Tactical Data Link Program Engineering Manager (PEM) I

BAE Systems

Wayne, NJ 07470

Hybrid~ 25 minHealth InsurancePaid Time OffRetirement Benefit

  • Requires qualified candidates to hold an active Secret security clearance.
  • Bachelor's Degree in Science, Engineering, or Math and 9+ years engineering development/production work experience or Master's Degree with 7+ years of engineering development/production experience
  • Knowledge of EVMS, program scheduling, task codes, program metrics, and staffing determinatio
  • Project engineering management including organizational design, planning, estimating, design management, and product verification.
  • Experience leading diverse multi-disciplinary teams in the solution of complex technical problems
  • Demonstrated leadership skills (soft skills, strategic thinking, business acumen, building teams, building customer relationships, leading the entire engineering team).
  • Monitoring the project to ensure work scope, schedule, and budget are well defined, maintained, and met
  • Defining, generating, and reviewing project requirements and documentation
  • Performing or guiding technical studies to refine project requirements
  • Providing the coordination between resource managers/supervisors and the program team for staffing needs
  • Strong planning and organizational skills with the ability to diagnose, resolve complex problems and to develop improved methods to increase program efficiency.
  • Proven written and oral communication skills, including presentation skills.
  • Strong team building skills that enable collaboration and coordination within and across teams, functions, and other business units.
  • Strong presentation and organizational skills
  • Strong communication skills with ability to influence and shape the behavior and performance of teams executing complex requirements
  • Demonstrates business acumen and presence at the leadership level
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New, Posted 1 day ago
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Lead Software Development Engineer, Consumer Domains

Audible

Newark, NJ 07175

~ 24 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Experience as a mentor, tech lead or leading an engineering team
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Software Development Engineer, Generative AI, Annapurna Labs - Neuroboros Team

Annapurna Labs (U.S.)

New York, NY 10261

New, Posted 1 day ago
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Building Engineer - Residential

Building and Land Technology

Jersey City, NJ 07302

New, Posted 19 hours ago
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Sr. Manager, AI Engineer (IFX)

Capital One

New York, NY 10012

New, Posted 1 day ago
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Associate or Senior Associate, Fixed Assets / Cost Segregation Engineer (AMCS)

KPMG

New York, NY 10025

~ 46 min OnsiteHealth InsuranceRetirement Benefit

  • Bachelor's degree from an accredited college/university in engineering, architecture, construction management, or a closely related discipline is required
  • Minimumone year of recent experience in an engineering firm, corporation, or public accounting firm; background in cost segregation, fixed asset consulting, construction, engineering, or a related technical field is preferred
  • Understanding of construction processes and building systems, and how project costs translate into asset classifications
  • Basic knowledge of federal income tax depreciation principles and accounting for capital expenditures, or a demonstrated interest in developing this skillset
  • Experience reviewing technical drawings, construction documentation, or large project cost datasets
  • Strong proficiency in Excel (such as advanced formulas, pivot tables, lookups) and experience working with structured data from financial or operational systems; demonstrated experience or strong aptitude with data-wrangling/automation tools (such as Power Query, Alteryx), business intelligence tools (such as Power BI, Tableau), or query/scripting languages (such as SQL, Python, R)
  • Applicant must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
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New, Posted 2 hours ago
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AI Prompt Engineer(Contract)

Broadridge

Jersey City, NJ 07305

$70-$85/hr
New, Posted 1 day ago
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Senior Applied Scientist , Sponsored Products

Amazon.com Services LLC

New York, NY 10261

~ 46 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning
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New, Posted 19 hours ago
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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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