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Data Engineer Python Pyspark

New York,NY

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517 Data Engineer Python Pyspark jobs in New York,NY

New, Posted 1 day ago
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Enterprise Sales Engineer II, Spectrum Business

Spectrum

New York, NY 10010

OnsiteUrgently Hiring

  • High school diploma or equivalent from an accredited organization (GED)
  • Read, write, speak and understand English
  • Work closely with sales executives and proven knowledge of the sales cycle
  • Knowledge of Metro Ethernet technologies (EPL, EVPL, ELAN), LANs, WANs, email, DNS, TCP/IP, firewalls, VPNs and data security methods
  • Sales skills in presentation and proposal design
  • Understanding of networking technologies: TCP/IP, IP VPN, MPLS, VPLS, Ethernet, VoIP, SONET, DWDM
  • Familiarity with networking fundamentals: routers, switches, LAN, MAN, WAN, DS3, OC-x, CSU/DSU and CPE
  • Consultative approach with strong knowledge of converged multimedia applications
  • Experience with voice networking including VoIP, signaling protocols, PBX, and routing protocols: BGP, ISIS, OSPF, RIP and emerging technologies
  • Understanding of business drivers, industry trends and regulatory shifts in targeted vertical markets
  • Proficiency with MS Visio, Word, Excel, PowerPoint and MS Project
  • Valid driver's license, satisfactory driving record and auto insurance coverage
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New, Posted 12 hours ago
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Director, Full-Stack Engineer

BNY

New York, NY 10007

$136,500-$225,000/yr
Urgently Hiring
New, Posted 1 day ago
Recommended
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AVP, Senior Data Engineer

Synchrony Financial

New York, NY 10012

Onsite

  • Bachelor's degree and a minimum of 4 years of experience in Technology in the consumer banking industry OR High School Diploma\ GED and a minimum of 6 years or experience in Technology OR successful completion of Synchrony's Business Leadership Program
  • Experience with large scale relational database and public cloud (AWS preferred) environments.
  • Strong experience and deep understanding of ETL, data warehousing, Cloud technologies (AWS) and analytics concepts.
  • Strong engineering skills in on‑prem RDBMS/data warehouse platforms, Ab Initio (GDE/Co>Operating System), advanced SQL, and AWS, including Amazon Redshift.
  • Strong cloud engineering skills with AWS, including hands-on experience with Amazon Redshift and related data services.
  • Experience with batch and real-time data pipelines in a DevOps environment.
  • Willing to work in a fast-paced environment with globally located Agile teams working in different shifts.
  • Ability to develop and maintain strong collaborative working relationships with Technology and Business Stakeholders.
  • Excellent written and oral communication skills. Adept and presenting complex topics executing with timely / actionable follow-through.
  • Ability and flexibility to travel for business as required
  • Legal authorization to work in the U.S. is required.
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New, Posted 1 day ago
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Business Development Executive, Intellium

FM

New York, NY 10017

Requires TravelUrgently HiringFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelors Degree; CPCU, and/or ACII experience
  • 3+ years in the insurance industry experience successfully quoting, engineering and/or underwriting
  • Knowledge of property forms, HPR engineering, competitors and brokers
  • Proficiency with computers and associated software such as Excel, PowerPoint and Word
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iHire
Sr Director, AI Engineering

Capital One

New York, NY 10001

New, Posted 12 hours ago
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Senior Vice President, Forward Deployed Engineer

BNY

New York, NY 10007

$104,000-$230,000/yr
New, Posted 1 day ago
DiversityJobs
Cyber Security Engineer

Chobani

New York, NY 10012

DiversityJobs
Silicon Photonics Design Engineer

CIENA

New Providence, NJ 07974

Flexible Schedule
iHire
Machine Learning Engineer

Capital One

New York, NY 10001

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

  • Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
  • Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
  • Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
  • Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
  • Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
  • Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
  • Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
  • Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
  • Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
  • Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
  • Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
  • Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
  • Engineering leadership and team-building experience, including managing senior technical staff — 7 years
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