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.

Director, Data Science Platform | Data Science Platform

Company: Rockefeller University

Location: New York, NY

Posted May 16, 2025

Ph.D. or equivalent degree in data science, machine learning, artificial intelligence, computer science, electrical engineering, statistics or a related field.

Project Manager II

Company: 1199SEIU Family of Funds

Location: New York, NY

Posted May 15, 2025

Develop and maintain detailed project plans, coordinate project resources, track milestones and deliverables, provide scope management and change control,…

Customer Service Representative - Bilingual Spanish

Company: Continuum Global Solutions

Location: Brooklyn, NY

Posted May 15, 2025

We are hiring *Spanish Bilingual Customer Service Representatives* for our office in Brooklyn, New York who will support incoming calls from New York City…

Senior Tax Advisor

Company: Bell and Company CPAs PC

Location: New York, NY

Posted May 16, 2025

Conduct research of federal, state and international tax issues. CPA certification is a plus (not required). Respond to Federal, State and local tax notices and…

Clinical Specialty Pharmacist Hybrid Work Schedule

Company: LeMed Specialty Pharmacy

Location: Bronx, NY

Posted May 15, 2025

Active Pharmacist license in good standing issued by the New York State Board. You will participate in the clinical and operational pharmacy workflow, managing…

Lead Software Engineer, DevOps

Company: Capital One

Location: New York, NY

Posted May 15, 2025

Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible…

Senior Accountant (Bilingual in Mandarin)

Company: MenuSifu Inc.

Location: New York, NY

Posted May 16, 2025

▪* Bachelor’s degree in accounting or finance, or an equivalent field experience required. ▪ *Prepare and analyze financial statements (income statements,…

Large Tonnage Chiller Technician - 3 years centrifugal chiller experience required

Company: Dalkia US Chiller Services NY

Location: New York, NY

Posted May 16, 2025

The ideal candidate will have mechanical knowledge and experience in field service, particularly with large Tonnage, water-cooled centrifugal chillers,…

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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