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.

Senior HVAC Technician

Company: The Metro Group, Inc.

Location: Long Island City, NY

Posted Aug 13, 2025

This role leads crews in repairs, modifications, and installations of various components of HVAC systems as well as independently completing troubleshooting and…

Overnight CDL B Delivery Driver

Company: The Chefs Warehouse

Location: Bronx, NY

Posted Aug 13, 2025

Maintains truck log according to state and federal regulations. Maintains telephone or radio contact with supervisor to receive delivery instructions.

AWS Cloud Engineer – AWS Lambda

Company: Resourceful Talent Group

Location: New York, NY

Posted Aug 13, 2025

Lead serverless-focused infrastructure design and development. Scale solutions to enterprise-grade. Proven expertise with AWS Lambda and related AWS services (…

Pharmacist Needed Part time

Company: Confidential

Location: New York, NY

Posted Aug 13, 2025

*Job Overview* We are looking for Part time PHARMACIST. ONLY 1 week day and Sunday. Prime Rx system experience required. Pay: $75.00 per hour Weekdays :…

Welder

Company: Ultimate Boiler Treatments

Location: New York, NY

Posted Aug 13, 2025

Utilize hand tools, power tools, and welding equipment to fabricate metal components. Proven experience in welding with a strong understanding of fabrication…

Global Practice Architect, Data IV, Google Cloud

Company: Google

Location: New York, NY

Posted Aug 13, 2025

You will orchestrate across numerous contributing teams including Solutions, Services, Partners, Product Engineering, Marketing, and GTM stakeholder…

Oracle Technical Architect

Company: Pyramid Consulting, Inc

Location: Jersey City, NJ

Posted Aug 13, 2025

By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and…

Deputy Content Manager

Company: Eurasia Group

Location: New York, NY

Posted Aug 13, 2025

Variously curating, editing, and creating content, which may be published on our website, for our daily newsletters, on social channels, and as short-form…

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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