572 Data Engineer Iii jobs in Hoboken,NJ

Director, Data Engineering

Subway Restaurants

Bridgeport, CT 06606

$184,500-$230,600/yr

~ 1 hr 24 min OnsiteEducation AssistanceHealth InsuranceRetirement Benefit

8–12 years of experience in data engineering or adjacent platform roles
3–5 years of experience leading teams or enterprise-scale data capabilities
Bachelor's degree required (Computer Science, Engineering, Data, or related field)
Advanced degree preferred
Deep understanding of modern data architectures (cloud data platforms, batch/stream processing)
Strong experience leading data engineering teams and platforms in a technology organization
Ability to influence across Product, Analytics, Platform, and Security; proven people leadership and delivery management skills
Experience operating cloud-based, distributed data platforms in complex, matrixed enterprise environments
Strong communication skills, executive presence, and a bias for ownership, reliability, and continuous improvement

SmartExplore AI is experimental.

Recommended

DiversityJobs

Quality Control Engineer III (Hybrid - New York, NY)

Energy Solutions

New York, NY 10279

Apply Directly

Sr. Manufacturing Engineering Manager

Crane Company

Caldwell, NJ 07006

~ 38 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

SmartExplore AI is experimental.

Apply Directly

Principal Engineer - Python API Development

Fidelity Investments

Lyndhurst, NJ 07071

~ 19 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 1 day ago

Recommended

Software Development Engineer in Test II - iOS, Swift, Xcode

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$102,100-$136,900/yr

Apply Directly

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

KPMG

New York, NY 10025

~ 19 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)

SmartExplore AI is experimental.

New, Posted just now

Recommended

ResumeLibrary

AI Automation Engineer — Agentic Builds - Remote - US

BrainTrust

New York, NY 10001

Remote

Apply Directly

Quality Inspector

Ametek

Montvale, NJ 07645

~ 42 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

SmartExplore AI is experimental.

Apply Directly

Quality Control Inspector

CACI International Inc

Florham Park, NJ 07932

~ 40 min Onsite

3+ years of relevant experience in electrical, mechanical, or electro-mech inspection for an electronics manufacturer
Experience in aerospace & defense industry
Ability to obtain certifications to J-STD 001, IPC-610, and IPC-620
Knowledge of ESD S20.20 and generally accepted good practice for ESD control
Able to use standard measurement and inspection tools including pin gauges, calipers, visual inspection system, microscope, etc.

SmartExplore AI is experimental.

Recommended

Apply Directly