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Data Engineer Data Platforms

New York,NY

564 Data Engineer Data Platforms jobs in New York,NY

New, Posted 16 hours ago
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Sr. Data / M/L Engineer [SK-12273]

Skill

New York, NY 10261

HybridHealth InsuranceRetirement Benefit

  • Strong experience with SQL and database management.
  • Proven experience in designing and implementing data pipelines and ETL processes.
  • Proficiency in machine learning and statistical modeling.
  • Hands-on experience with leading Business Intelligence (BI) tools.
  • Demonstrated full-stack development knowledge.
  • Experience with major cloud platforms.
  • Strong understanding of data architecture, data modeling, and infrastructure setup.
  • Ability to effectively work with and manage large-scale datasets.
  • Solid programming experience (e.g., Python, R).
  • Exceptional problem-solving and analytical skills.
  • Bachelor's degree in Electrical Engineering or Computer Engineering.
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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.
  • Demonstrated fundamental skills in problem analysis, experiment design, data processing and reporting.
  • Proven broad experience of technical development and technology deployment, especially the capabilities of developing an idea to a solution.
  • Wide connections with industrial partners including companies, institutes and researchers.
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Vice President – Front Office Quantitative Analytics (Latin America Rates & FX)

Santander Holdings USA

New York, NY 10022

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Grubhub Driver - Westchester, NY - Fast Cash, Flexible Work!

Grubhub

Westchester, NY 10461

Flexible Schedule
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Lead Electrical Designer

MG Engineering D.P.C.

New York, NY 10001

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Sales Analyst

Maisons Marques & Domaines

New York, NY 10025

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 2-5 years of experience with progressing responsibilities
  • Bachelor's Degree in business, science, engineering or computer sciences
  • Excellent proficiency with Excel and PowerPoint
  • Should be able to lift up to 30lbs
  • The position is based in New York and reports to the office Monday-Friday
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Staff Product Manager, Measurement & Marketing Science

HelloFresh

New York, NY 10025

OnsitePaid Time OffRetirement Benefit

  • 8–10+ years in Product Management with meaningful experience in Marketing Science, Ad-Tech, Measurement, Growth, Analytics Platforms, or Data Products.
  • Deep understanding of MMM, incrementality, experimentation, attribution, and marketing effectiveness.
  • Proven track record building platforms rather than isolated features.
  • Strong strategic thinking paired with analytical rigor.
  • Experience partnering closely with Data Science teams on model-driven products.
  • AI-native mindset with a bias toward experimentation, automation, and rapid iteration.
  • Ability to influence executive stakeholders through evidence-backed recommendations
  • Product leadership experience remains to be described as required in job posting (no explicit additional pre-hire requirement beyond the items listed).
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Software Engineer II - Ad Platform, Integrating Engineering

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

New, Posted 1 day ago
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Senior Contract Manager

Disability Solutions

New York, NY 10001

New, Posted 6 hours ago
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Director, Analytics and Data Science (Hybrid)

Institute of International Education

New York, NY 10007

HybridEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Requires a bachelor's degree and at least eight (8) years of related work experience, or an equivalent combination of education and experience.
  • Minimum 5 years working in data and technology, 3 years in Enterprise Data Strategy, and 3 years leading Enterprise Data Management and Data Governance practices.
  • Expert level knowledge of Data Visualization with PowerBI (or similar tools).
  • Experience working with ETL (Extract, Transform and Load), Data Transformations, Data Warehouse and Building Data Pipelines.
  • Strong project management and presentation skills, including a track record of overseeing a portfolio of multiple projects and comfort with both large and small audiences.
  • Knowledge of common tools and methods for data science, machine learning, and business intelligence
  • Capability to generate Data Visualization and Data Insights with existing data from Programs.
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