1071 Data Engineer Iii jobs in Hoboken,NJ
New, Posted 1 hour ago
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It Application Analyst Iii- Epic Ambulatory
Hackensack Meridian Health
Iselin, NJ 08830
$97,011.20/yr
~ 34 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
- Certified in Epic Ambulatory
- Bachelors degree or equivalent years of experience
- Minimum of 3 years of IT experience preferably in healthcare or related field OR 2 Years of IT experience and 2 years of clinical experience
- Possesses comprehensive knowledge of subject matter
- Works independently and effectively manages time with little or no supervision
- Strong desktop skills including Word, Excel, PowerPoint, Visio and Outlook
- Effective oral and written communication
- Creates and maintains clear, concise documentation
- Collaborates with other team members across the department
- Demonstrates self-direction
- Epic and/or other relevant certification(s) or where applicable, other relevant applications experience
- Lifts a minimum of 20 lbs., pushes and pulls a minimum of 20 lbs. and stands a minimum of 4 hours a day
New, Posted 19 hours ago
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Sr. Data / M/L Engineer [211066]
Skill
New York, NY 10261
Hybrid~ 19 min
- Strong SQL and database management experience
- Experience with data pipelines and ETL processes
- Proficiency in machine learning and statistical modeling
- Experience with BI tools (Power BI, Tableau)
- Full-stack development knowledge
- Experience with cloud platforms (AWS preferred)
- Data architecture
- Data modeling n
- Infrastructure setup
- Ability to work with large-scale datasets
- Programming experience (likely Python/R inferred)
- Strong problem-solving and analytical skills
- Bachelor's degree in Electrical Engineering or Computer Engineering
- The role requires full stack knowledge, including front-end and back-end components, and the ability to set up new infrastructure.
New, Posted 1 day ago
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Principal Engineer - Python API Development
Fidelity Investments
Hoboken, NJ 07030
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.
New, Posted 3 hours ago
Principal Software Engineer
Disney Entertainment and ESPN Product & Technology Careers
New York, NY 10025
$197,400-$264,700/yr
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Senior Technologist, Data Center Fluids
BP
Wayne, NJ 07470
Hybrid~ 38 minFlexible ScheduleHealth InsuranceRetirement Benefit
- Degree in Chemistry, Engineering, or related technical discipline.
- Up to 25% travel should be expected with this role
- This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
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Data Management JOB Training Program
Year Up United
New York, NY 10261
$525/wk
~ 19 min Onsite
- A high school graduate or GED recipient
- Have not obtained a Bachelor's degree
- You may be required to answer additional screening questions when applying
- Eligible to work in the U.
New, Posted 7 hours ago
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)
Capital One
New York, NY 10012
Remote Online Tasks – Earn Up to $1,500/month Playing Games
Free Cash
New York, NY 10098
$1,500/mo
Remote
New, Posted 4 hours ago
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Sr Dir, Business Operations and Data Governance – Intelligence Ventures
Spectrum
New York, NY 10036
~ 19 min OnsiteUrgently Hiring
- Bachelor's Degree in Business, Finance, Operations, a related field, or equivalent practical experience
- 10+ Years Business operations, chief-of-staff, strategy-and-operations, or comparable leadership experience
- 5 years Experience owning budgets and managing cross-functional initiatives or programs
- Proven experience running business operations, chief-of-staff, or strategy-and-operations functions for a senior executive or business unit, ideally in a data, technology, media, or platform business
- Demonstrated ability to own a budget and partner effectively with Finance, Legal, and Compliance functions — translating between operational reality and enterprise control requirements
- Experience standing up or running operational processes in a governance, compliance, privacy-operations, or data-management context — enough fluency to coordinate credibly with Privacy, Legal, and technical teams; deep data-governance subject-matter expertise is a plus, not a prerequisite, as this role operationalizes governance rather than authoring its policy
- Strong cross-functional coordination skills, with a track record of defining ways of working and operating cadences across multiple stakeholder organizations and driving alignment without direct authority
- Excellent program- and project-management discipline; able to manage a portfolio of concurrent initiatives, keep many workstreams on track, and bring structure to ambiguity
- Sound judgment, discretion, and executive presence; trusted to represent leadership, handle sensitive information, and make or escalate decisions appropriately
- Strong written and verbal communication skills, with the ability to prepare executive-level materials and facilitate leadership forums
- Comfort operating in an ambiguous, early-stage, build-from-scratch environment while delivering against aggressive milestones
- Working understanding of the privacy and regulatory landscape governing consumer data is a plus, sufficient to partner credibly with Privacy and Legal
Watch Engineer
Millennium Times Square
New York, NY 10036
What companies are hiring Data Engineer Iii jobs in Hoboken,NJ?
- Hackensack Meridian Health
- Skill
- Fidelity Investments
- Disney Entertainment and ESPN Product & Technology Careers
- BP
- Year Up United
- Capital One
- Free Cash
- Spectrum
- Millennium Times Square
- Hackensack Meridian Health
- Skill
- Fidelity Investments
- Disney Entertainment and ESPN Product & Technology Careers
- BP
- Year Up United
- Capital One
- Free Cash
- Spectrum
- Millennium Times Square
What is the yearly salary range for Data Engineer Iii jobs in Hoboken,NJ?
The yearly salary range is $97011 - $264700.
The yearly salary range is $97011 - $264700.
