Robust Company Like Platinum Jobs in New York City, NY

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Senior Lead AI Engineer

Company: Capital One

Location: New York, NY

Posted Oct 04, 2025

We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary…

Associate Data Science Analyst

Company: NYU Langone Health

Location: New York, NY

Posted Oct 04, 2025

Demonstrated skills in design and implementation of complex AI models. Familiarity with data driven modeling (including gathering and cleaning data, exploratory…

Lead Machine Learning Engineer (Enterprise Platforms Technology)

Company: Capital One

Location: New York, NY

Posted Oct 04, 2025

Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. You’ll participate in the detailed technical design,…

Security Officer - Waldorf Astoria New York

Company: Hilton

Location: New York, NY

Posted Oct 04, 2025

With a fresh, modern expression of its rich, authentic legacy, Waldorf Astoria New York provides guests the exceptional environment and the personalized…

Frequently Asked Questions

What are the typical salary ranges by seniority?
Junior – $90k–$120k, Mid – $120k–$160k, Senior – $160k–$210k, Lead – $210k–$250k, Principal – $250k–$300k, all including equity and bonus.
What skills and certifications are required?
Proficiency in Go, Rust, or Python; hands‑on experience with Kubernetes, Terraform, Airflow, dbt, Snowflake, BigQuery; certifications such as AWS Certified Solutions Architect, GCP Professional Data Engineer, Azure Solutions Architect, and Certified Kubernetes Administrator (CKA) are highly valued.
Is remote work available for these positions?
Most roles are fully remote or hybrid; teams operate across US, EMEA, and APAC with flexible schedules. Remote‑first culture allows developers to work from any major hub while maintaining synchronous collaboration.
What career progression paths exist?
Typical pathways include Engineer → Staff Engineer → Principal Engineer; Data Engineer → Lead Data Engineer → Head of Data Engineering; and Platform Architect → Senior Platform Architect → Chief Architect, with opportunities to transition into product or technical leadership.
What industry trends should I be aware of?
Key trends include data lake modernization, serverless data pipelines, AI/ML ops, edge computing, low‑latency streaming with Kafka and Flink, and heightened security compliance (GDPR, CCPA) within cloud‑native environments.

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