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Associate Data Engineer

New York,NY

800 Associate Data Engineer jobs in New York,NY

New, Posted 22 hours ago
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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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New, Posted 16 hours ago
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Senior Associate, Data Engineer - Databricks

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

  • Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer
  • Preferably Databricks certified
  • Bachelor's degree in Engineering, Information Technology, Computer Science or a related field from an accredited college/university
  • Experience in leading projects relating to cloud modernization, data migration, data warehousing experience with cloud-based data platforms (Databricks) and experience with (preferably driving) technical workshops with technical and business clients to derive value added services and implementations
  • Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms
  • Experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP
  • Hands-on technical experience with SQL and Apache Spark
  • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future and travel as needed
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Senior Distinguished Engineer, AI Compute (Remote Eligible)

Capital One

New York, NY 10001

Remote
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Principal Engineer - Python API Development

Fidelity Investments

Secaucus, NJ 07094

~ 18 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 Technologist, Data Center Fluids

BP

Wayne, NJ 07470

HybridFlexible 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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Head of AlphaGen - Investor Research Product Engineering, Director

Blackrock

New York, NY 10025

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience
  • An advanced degree is a plus
  • Strategic Engineering Leadership: Proven experience leading large-scale engineering organizations through product transformation initiatives (e.g., platform modernization, cloud migration, operating model changes). Demonstrated success in setting vision and executing across complex, multi-year technology programs
  • Alpha generation workflows or closely related quantitative research processes in finance/investments
  • Cloud technologies and cloud-native architectural patterns (e.g., microservices, containerization, distributed computing e.g. Ray)
  • API-first platform design and developer experience best practices
  • AI/ML applications for workflow automation, data validation, and operational excellence
  • Modern stack knowledge and skills - e.g. Python, Polars, Ray, MLFlow or equivalent technology
  • Demonstrated strength in partnership-building and cross-functional collaboration
  • Able to influence and align product teams, platform/infrastructure teams, and governance bodies around a common vision and roadmap
  • Ability to operate in complex market and organizational contexts, translating strategic objectives into actionable plans
  • Proven track record of driving innovation, navigating ambiguity, and delivering measurable outcomes at scale
  • AI-First, Human-in-the-Loop: Embraces AI-driven solutions as a default for efficiency and scale, while keeping expert human judgment in critical loops to ensure quality and trust
  • Platform Over People: Prioritizes building robust platforms and automation over relying on individual heroic efforts, enabling sustainable and scalable growth
  • Single Front Door: Advocates for a unified user experience where researchers and stakeholders have one intuitive portal for all their needs, simplifying access and support
  • Standardization Everywhere: Drives consistency in tools, processes, and data across the board, reducing complexity and improving interoperability and maintainability
  • Self-Service as the Default: Champions self-service capabilities, empowering users to accomplish tasks independently (from data ingestion to model deployment) without bespoke engineering work
  • Deep Co-Ownership with PMG: Fosters a culture of partnership with the Portfolio Management Group, aligning closely on priorities, sharing roadmaps and KPIs, and co-owning outcomes to ensure the platform truly meets investment teams' needs
  • For New York, NY Only the salary range for this position is USD$225,000.00 - USD$285,000.00
  • Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits
  • BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance
  • 4 days in the office per week, with the flexibility to work from home 1 day a week
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New, Posted 1 day ago
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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
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Digital Pathology Field Service Engineer

TD Synnex

New York, NY

Flexible Schedule
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New Product Manufacturing Engineer

CACI International Inc

Florham Park, NJ 07932

~ 50 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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Business Development Manager, STEM Partnerships

Liberty Science Center

Jersey City, NJ 07305

~ 22 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Valid driver's license (required)
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