893 Data Engineer Databricks jobs in New York,NY

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Sr. TPM, GenAI, Catalog Systems

Amazon.com Services LLC

New York, NY 10261

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

7+ years of working directly with engineering teams experience
5+ years of technical product or program management experience
3+ years of software development experience
5+ years of technical program management working directly with software engineering teams experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules

SmartExplore AI is experimental.

New, Posted 15 hours 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

SmartExplore AI is experimental.

New, Posted 15 hours ago

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Senior Vice President– Front Office Equities Engineering (Full-stack)

BNY

New York, NY 10007

Urgently Hiring

New, Posted 1 day ago

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Engineering Manager

ROW NYC

New York, NY 10036

New, Posted 14 hours ago

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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.

SmartExplore AI is experimental.

New, Posted 10 hours ago

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Machine Learning Engineer

Capital One

New York, NY 10001

ResumeLibrary

Field Engineer/Construction Manager

The LiRo Group

Hoboken, NJ 07030

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

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

SmartExplore AI is experimental.

New, Posted 1 day ago

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