Competitive Salary Range Jobs in New York City, NY

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Looking for Competitive Salary Range jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Competitive Salary Range position in the New York City, NY area.

District Manager - Corrections

Company: Aramark

Location: Valhalla, NY

Posted Feb 07, 2025

Retail Sales Associate

Company: Staples

Location: New York, NY

Posted Feb 07, 2025

PHARMACY/PHARMACIST FLOATER (AD)

Company: Kroger

Location: Missouri City, TX

Posted Feb 07, 2025

Service Manager

Company: Rentokil Terminix

Location: Newburgh, NY

Posted Feb 07, 2025

Data Quality Lead

Company: Merrill

Location: New York, NY

Posted Feb 07, 2025

Frequently Asked Questions

What are typical salary ranges for Competitive Salary Range roles by seniority?
Entry‑level (0–2 yrs): $85k–$105k. Mid‑level (3–5 yrs): $110k–$140k. Senior (6–10 yrs): $145k–$190k. Lead/Architect (10+ yrs): $200k–$250k, often including equity or bonuses.
Which skills and certifications are most valuable for these positions?
Core technical skills: Python, SQL, AWS or Azure or GCP, Kubernetes, Terraform, CI/CD pipelines, and security controls. Certifications: AWS Certified Solutions Architect, Certified Kubernetes Administrator (CKA), Certified Information Systems Security Professional (CISSP), GCP Professional Data Engineer, or Microsoft Certified: Azure AI Engineer Associate.
Is remote work common for Competitive Salary Range roles?
Yes, 70–80% of listings allow fully remote or hybrid arrangements. Major employers like Databricks, Stripe, and Palo Alto Networks offer remote positions with a stipend for home office equipment.
What career progression paths exist within this category?
Typical trajectory: Junior Engineer → Mid‑level Engineer → Senior Engineer → Lead Engineer/Architect → Technical Director → VP of Engineering or Chief Architect. Each step adds leadership, budgeting, and strategic responsibilities.
What industry trends are reshaping Competitive Salary Range roles?
Key trends: AI/ML model explainability, edge‑AI deployments, zero‑trust security architecture, multi‑cloud cost optimization, and data privacy regulations (GDPR, CCPA). Companies are prioritizing talent that can navigate these shifting demands.

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