Robust Company Like Platinum Jobs in New York City, NY

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Looking for Robust Company Like Platinum jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Robust Company Like Platinum position in the New York City, NY area.

Senior Business Intelligence Analyst (Human Capital)

Company: IDR Inc.

Location: New York, NY

Posted Aug 18, 2025

Collaborate with technical teams to design and implement AI-driven data visualization tools. Experience with BI development and data visualization tools like…

Junior Developer

Company: Capgemini

Location: New York, NY

Posted Aug 18, 2025

Bachelor’s degree (preferably in Engineering, Computer Science, Information Systems, Data Science, or a related field). Must be open to relocation.

Software Development Engineer, Amazon Music

Company: Amazon.com Services LLC

Location: Culver City, CA

Posted Aug 18, 2025

2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.

Data Analyst

Company: VNS Health

Location: New York, NY

Posted Aug 18, 2025

Bachelor's Degree in Business Administration, Healthcare Administration, statistics, epidemiology, mathematics, computer science or social sciences, or related…

AI Deployment Engineer

Company: StackAI

Location: New York, NY

Posted Aug 18, 2025

Chatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.

Staff Nurse RN - Per Diem - Occupational Health - Columbia Hospital

Company: NewYork-Presbyterian Hospital

Location: New York, NY

Posted Aug 18, 2025

BCLS certification from American Heart Association. Participate in medical surveillance protocols, including blood drawing, giving vaccines, obtaining urine…

Data Scientist

Company: SHINEHIRE

Location: New York, NY

Posted Aug 18, 2025

The Data Scientist will develop and productionize underwriting models, risk dashboards, and portfolio analytics to scale credit offerings while maintaining…

Data Scientist, Forecasting and Labs - CIV Team

Company: Amazon.com Services LLC

Location: New York, NY

Posted Aug 18, 2025

Working with technical and non-technical customers to design model improvements and communicate results. 3+ years of machine learning/statistical modeling data…

Director - Program Management; Strategic Workforce Planning

Company: Amex

Location: New York, NY

Posted Aug 18, 2025

To ensure we attract, grow, and develop our talent intentionally, the Director will lead a team that partners with members of the executive Technology…

Professional Security Guard

Company: Heightened Security, Inc

Location: New York, NY

Posted Aug 18, 2025

Proven experience as security officer or guard. A security officer must be well-trained in surveillance and dealing with perpetrators.

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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