Data Platform Engineer Market Risk Tech

New York,NY

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556 Data Platform Engineer Market Risk Tech jobs in New York,NY

New, Posted 1 day ago

DataBricks Data Engineer

INNOVA

New York, NY 10060

$70-$75/hr

OnsiteHealth InsurancePaid Time OffRetirement Benefit

At least 7 years of experience in data engineering, with a minimum of 3 years hands-on experience building and managing Databricks solutions.
Extensive experience with Databricks platform components: Delta Lake, Delta Live Tables, Unity Catalog and Databricks Workflows.
Strong proficiency in Python and/or Scala for data engineering; SQL expertise required.
Strong experience with core data engineering practices including data ingestion, transformation (ETL/ELT), data modeling, and pipeline orchestration.
Experience integrating Databricks with cloud platforms (Azure, AWS, or GCP) and data sources such as Azure Data Factory, Event Hubs, Kafka, or equivalent.
Must work well in a team environment while being a resourceful, independent self-starter able to work effectively with minimal direction.

SmartExplore AI is experimental.

Senior AWS Redshift Data Engineer (Contract | 1099)

BrainTrust

New York, NY 10001

New, Posted 1 day ago

Sr. Project Engineer

MasTec Industrial

Paterson, NJ 07544

$130,000-$160,000/yr

Urgently Hiring

New, Posted 1 day ago

Sr. Project Engineer

MasTec Industrial

New York, NY 10261

$130,000-$160,000/yr

Urgently Hiring

New, Posted 19 hours ago

Senior Vice President, Full-Stack Engineer

BNY

Jersey City, NJ 07306

New, Posted 1 day ago

Investment Accounting Data Analytics and Reporting Manager

MassMutual

New York, NY 10012

Software Engineer II - Ad Platform, Integrating Engineering

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

Software Engineer II - Ad Platform, CRM Analytics

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

New, Posted 4 hours ago

Vice President, Full-Stack Engineer

BNY

Jersey City, NJ 07306

Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

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.

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