Challenging Opportunities For You To Learn And Grow Professionally Jobs in New York City, NY

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Looking for Challenging Opportunities For You To Learn And Grow Professionally jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Challenging Opportunities For You To Learn And Grow Professionally position in the New York City, NY area.

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Cardiology - Electrophysiology

Company: Trinity Health

Location: Albany, New York

Posted Jun 02, 2025

View Details Apply on healthecareers.com
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OBGYN Laborist Opportunity - Syracuse, NY

Company: Trinity Health

Location: Syracuse, New York

Posted Jun 02, 2025

View Details Apply on healthecareers.com
401(k) health insurance vision insurance

Substance Abuse Counselor - NMCD

Company: Wexford Health Sources

Location: Santa Fe, New Mexico

Posted Jun 02, 2025

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hospital skilled nursing facility nursing home

Phlebotomist

Company: United Health Services

Location: Norwich, New York

Posted Jun 02, 2025

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OB/GYN Generalist Long Island, NY (Nassau/Suffolk Counties)

Company: Northwell Health Physician Partners

Location: Long Island, NY

Posted Jun 02, 2025

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hospital part time full time

Ob/Gyn (Generalist) – NewYork-Presbyterian/Queens

Company: NewYork-Presbyterian

Location: Fresh Meadows, Queens New York

Posted Jun 02, 2025

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Registered Nurse - PRN

Company: The CORE Institute

Location: Sun City, AZ

Posted Jun 02, 2025

Responds to /refers incoming patient treatment-related phone calls. Ensures pre-op phone calls are made to patients and that these patients fully meet protocol…

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RN

Company: Sunrise Senior Living

Location: Westwood, New Jersey

Posted Jun 02, 2025

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Chief of Oncologic Quality

Company: RWJBarnabas Health

Location: Livingston, New Jersey

Posted Jun 02, 2025

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SENIOR GRAPHIC DESIGNER

Company: Bon Appetit

Location: Redwood City, CA

Posted Jun 02, 2025

Brainstorm, develop, and execute creative ideas for the design of sales materials including sales proposals and presentations.

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sign-on bonus relocation assistance loan repayment program

Teleradiologist-Emergency

Company: WellSpan Health

Location: York, Pennsylvania

Posted Jun 02, 2025

View Details Apply on healthecareers.com

Marketing Associate | Marketing and Communications

Company: Macquarie Group Limited

Location: New York, NY

Posted Jun 02, 2025

In this position, you’ll enhance our business market presence by driving the development of high-quality activations across a range of channels including social…

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Frequently Asked Questions

What are typical salary ranges by seniority in these challenging roles?
Junior AI/ML Engineers earn $90k–$110k, mid‑level $120k–$150k, senior $160k–$200k. Cloud Architects start at $110k–$140k, rise to $170k–$210k for senior architects, and can exceed $250k for principal roles. DevOps and Cybersecurity positions follow similar tiered ranges, with senior analysts earning $140k–$180k and experts over $200k.
Which skills and certifications are most demanded?
Core skills include Python, SQL, and version control. AI roles require TensorFlow, PyTorch, and Jupyter. Cloud positions demand AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, plus Terraform and Kubernetes. Cybersecurity roles favor CISSP, CISM, or CompTIA Security+ and hands‑on experience with SIEM tools like Splunk.
Is remote work available in these positions?
Approximately 70% of the listed roles support full‑remote or hybrid arrangements. Cloud and DevOps offers often allow work-from‑anywhere, while on‑site requirements are rare for AI/ML and data engineering, especially in companies emphasizing agility.
What career progression paths exist?
Typical ladders start at junior engineer → mid‑level → senior → tech lead → principal engineer → engineering manager or VP of Engineering. For cybersecurity, the path is analyst → senior analyst → lead analyst → security manager. Continuous learning and certifications accelerate movement up these tracks.
What industry trends shape these challenging opportunities?
Key trends include AI democratization through AutoML platforms, edge computing for low‑latency inference, cloud‑native security models, and data privacy regulations (GDPR, CCPA). Companies invest heavily in building resilient, scalable infrastructures that integrate AI, data, and security, driving demand for multi‑disciplinary talent.

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