1071 Data Analyst Python Hadoop Hive Hql jobs in New York,NY

Programmatic Account Manager

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

Bachelor's Degree or equivalent combination of education and experience
Minimum 3 years of programmatic account management experience with solid hands-on programmatic campaign execution skills
Experience with cross-functinal sales planning and RFPs executation
Proven ability to manage campaign pacing and optimization in a fast-paced environment
Experience working with proprietary advertising data and analytics
Proficient with MS Office, especially complex spreadsheets and data analysis
Strong communication, organizational skills, and attention to detail
DUTIES & RESPONSIBILITIES

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Electronic Warfare, Systems Engineering Lead

L3 Harris

Clifton, NJ 07011

~ 30 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree and minimum 9 years of prior relevant experience.
Graduate Degree and a minimum of 7 years of prior related experience.
In lieu of a degree, minimum of 13 years of prior related experience.
9 years of experience in systems engineering for radar, RF, or sensor systems
Ability to obtain secret clearance
Travel as needed to support program execution and customer engagement, including periodic travel to Amityville, NY - 25%
10%-20% travel
Background checks
Pre-employment substance abuse testing

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New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Lyndhurst, NJ 07071

~ 23 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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Senior Test Engineering Technician - AI Data Center Systems (Servers & GPUs)

Advanced Micro Devices

Secaucus, NJ 07094

~ 18 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.

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Quality Manager - Manufacturing

Versa Products Company

Paramus, NJ 07652

~ 29 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree in Engineering, Business Administration, or related field preferred
Minimum of 5 years of experience in quality management within a manufacturing environment
Minimum of 5 years of leadership experience managing teams
Strong knowledge of:
Quality Management Systems (QMS)
ISO 9001 standards
ERP systems
Mechanical component inspection
Continuous improvement methodologies (Lean, Six Sigma)
Lean Six Sigma Green Belt or Black Belt strongly preferred
Hands-on experience with precision inspection tools (calipers, CMM, Keyence, etc.)
Ability to define problems, collect data, and draw valid conclusions.
Ability to interpret technical instructions, drawings, and specifications.
Strong attention to detail with a bias for action and results.
Ability to work effectively in a dynamic manufacturing environment.
Adaptability in situations involving change, ambiguity, and competing priorities.

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Business Development Manager, STEM Partnerships

Liberty Science Center

Jersey City, NJ 07305

~ 22 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

Valid driver's license (required)

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New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Newark, NJ 07175

~ 28 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

ResumeLibrary

Digital Marketing Specialist - 1051

BrainTrust

New York, NY 10001

New, Posted 8 hours ago

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USA SCIB Portfolio Manager, VP - CIB Lending

Santander Holdings USA

New York, NY 10012

Onsite

The SCIB Portfolio Manager is a Vice President role within US SCIB COO Lending Solutions responsible for portfolio management, credit monitoring and credit administration activities across SCIB lending portfolios.
Completion of bank-certified course in Credit Training - Required.
Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment.

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Quality Assurance Specialist

the fedcap group

New York, NY 10017

$66,300-$75,000/yr

OnsiteBilingual Preferred

A bachelor's degree in a related discipline required.
3-5 years' experience in Quality Assurance, monitoring, and/or Compliance experience in a similar role.
Experience with Continuous Quality Improvement frameworks and instruments.
Experience in accurate electronic data analysis and QA.
Prior experience responding to external audit reports and preparing corrective action plans.
Experience in developing and implementing processes for continual quality improvement.

SmartExplore AI is experimental.