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Data Engineer Accounting

Jersey City,NJ

738 Data Engineer Accounting jobs in Jersey City,NJ

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Associate or Senior Associate, Fixed Assets / Cost Segregation Engineer (AMCS)

KPMG

New York, NY 10025

~ 25 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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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

~ 36 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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Manager, Accounting Advisory Services

KPMG

New York, NY 10025

~ 25 min OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of recent experience in financial audit with a public accounting or advisory firm or minimum five years of recent financial reporting and consolidations experience with a Fortune 500 organization
  • Bachelor's degree from an accredited college/university in an appropriate field is required; licensed CPA or CPA equivalent preferred; eligibility required
  • Strong knowledge of U.S. GAAP
  • Willful to travel
  • Applicants 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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Senior Mechanical Engineer

Pts Data Center Solutions

Oakland, NJ 07436

$145,000-$190,000/yr
New, Posted 7 hours ago
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Senior Accountant

Gentile Brengel & Lin LLP

Garden City, NY 11530

$100,000-$150,000/yr
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Director of Engineering

Marine Electric Systems

South Hackensack, NJ 07606

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Electrical Engineering or a closely related engineering discipline.
  • Significant experience in electrical engineering, sustaining engineering, production engineering, test engineering, or engineering leadership in a manufacturing environment.
  • Strong hands-on technical knowledge of electrical and electromechanical systems.
  • Experience with PCB troubleshooting, electrical testing, components, assemblies, and production support.
  • Ability to read and interpret drawings, schematics, specifications, technical data packages, and test procedures.
  • Experience supporting manufacturing, production, repair, or sustainment work.
  • Ability to make practical engineering decisions with imperfect information.
  • Strong communication skills and ability to work cross-functionally with production, quality, procurement, sales, and leadership.
  • Demonstrated ability to mentor junior engineers or technical staff.
  • Strong organizational skills and ability to create structure in a fast-moving small-company environment.
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Quality Inspector

Ametek

Montvale, NJ 07645

~ 44 min Onsite

  • High school graduate
  • 3-5 Years mechanical inspection, manufacturing experience
  • Experience in basic and advanced inspection techniques using various inspection tools and methodologies
  • Ability to read and interpret engineering drawings using geometric dimensioning and tolerances including and understanding of maximum material conditions
  • Strong understanding of GD&T;
  • Inspect detail parts per drawing requirement and specs using industry-standard measuring equipment
  • Prepare and maintain inspection reports
  • Program and/or operate Coordinate Measuring Machines
  • Perform small hand tool calibration
  • Collect and tabulate data for SPC use
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Principal Engineer - Python API Development

Fidelity Investments

Hoboken, NJ 07030

~ 11 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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Tax Auditor

Sales Tax Helper

New York, NY 10022

Flexible Schedule

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