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Data Engineer

Mitchell Martin
New York, NY, United States
4 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$106,080.0 - $126,880.0
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Artificial Intelligence DevOps Reliability Engineering Software Engineering

Job description

The role is a contract position based in New York, NY, requiring onsite presence. As a Data Engineer, you will lead engineering teams, drive technology transformation initiatives, and offer hands-on technical guidance. The position focuses on AI enablement, operational excellence, and engineering productivity using modern engineering practices., * Lead engineering teams and oversee delivery and code implementation.

  • Drive the adoption of AI and modern engineering practices.
  • Transform site reliability engineering and enhance operational excellence.
  • Modernize software development lifecycle and improve engineering productivity.
  • Conduct architecture reviews and ensure technical governance.

Requirements

  • Experience in engineering technology leadership.
  • Proven ability to lead engineering teams and drive delivery.
  • Strong technical credibility with development teams.
  • Executive and stakeholder communication skills.
  • Hands-on understanding of modern engineering practices.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:22 min

Analyzing differences between mobile and traditional backend DevOps

Mete Baydar Mete Baydar · World Congress 2025

1:22 min

Understanding software engineering as more than just coding

Lilia Gargouri Lilia Gargouri · World Congress 2026 Europe

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

1:50 min

Introduction to the speaker and data science background

Bas Geerdink · LIVE

3:27 min

Defining DevOps through its historical origins and foundational texts

Sonal Patil · LIVE

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World Congress 2024 • about 2 years ago

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Europe 2026 Virtual • 3 months ago

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31:30
LIVE • over 2 years ago

Edit Your Future: Queerverse Radical AI

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World Congress 2026 Europe • 3 months ago

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World Congress 2026 Europe • 3 months ago

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform

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