Great Place To Work Jobs in New York City, NY

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Looking for Great Place To Work jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Great Place To Work position in the New York City, NY area.

Mgr Software Engineering

Company: Disney Entertainment and ESPN Product & Technology

Location: New York, NY

Posted Aug 04, 2025

8+ years of professional software engineering experience, with at least 2 years in a formal engineering management or technical leadership role.

Backend Engineer - Data

Company: Rain

Location: New York, NY

Posted Aug 04, 2025

Experience with NodeJs and other backend technologies. Work cross-functionally with our finance, operations, and support teams.

Frequently Asked Questions

What are the typical salary ranges for Great Place To Work tech roles by seniority?
Entry‑level positions usually pay $80k–$110k, mid‑level roles range from $110k–$150k, and senior or lead positions command $150k–$200k, depending on location and expertise.
What skills and certifications are most valued for Great Place To Work positions?
Proficiency in cloud services (AWS, Azure, GCP), Kubernetes, CI/CD pipelines, and JavaScript/TypeScript frameworks is highly sought. Certifications such as AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, and Certified ScrumMaster add significant weight.
Can I work remotely in Great Place To Work roles?
Yes—most certified companies offer hybrid or fully remote arrangements. Remote policies typically include a flexible schedule, quarterly in‑office meetups, and robust virtual collaboration tools like Slack, Zoom, and Jira.
What career progression can I expect from entry level to senior at Great Place To Work companies?
Career paths often follow a structured ladder: Associate → Engineer/Analyst → Senior/Lead → Principal/Staff → Director/VP. Promotions are tied to impact, leadership, and contribution to company values.
What industry trends are shaping Great Place To Work tech hiring?
Demand is rising for cloud‑native architecture, AI/ML integration, and micro‑service security. Companies are prioritizing data‑driven product decisions, remote‑first collaboration, and continuous learning programs.

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