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Hiring: Lead Data Engineer at Charlotte, NC

Amazon.com, Inc.
Charlotte, NC, United States
about 1 month ago
Apply on www.careerjet.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$107,900.0 - $195,050.0
Working hours
Regular working hours
Job source
www.careerjet.com

Tech stack

Agile Methodology Business Analytics Applications Big Data Cloud Database Data Governance DevOps Systems Development Life Cycle DataOps Software Engineering Google Cloud Data Ingestion

Requirements

  • 8+ years of Technology Delivery / Program Management / Technical Project Leadership experience
  • 5+ years delivering cloud-based Data & Analytics solutions
  • Hands-on Google Cloud Platform (GCP) experience
  • Proven experience leading end-to-end delivery of large-scale data platform initiatives
  • Strong experience managing multiple concurrent projects across data ingestion, transformation, storage, analytics, and reporting
  • Experience coordinating cross-functional teams including Engineering, Architecture, Security, Infrastructure, Data Governance, and Business stakeholders

Strong understanding of:

  • Agile methodologies
  • Software Development Lifecycle (SDLC)
  • DevOps practices
  • DataOps practices

About the company

Jones Lang LaSalle

  • Charlotte, NC JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology fo…

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

Apply on www.careerjet.com
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Good distractions

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

Moments

Explore playlists

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · World Congress 2022

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

4:36 min

Hiring passionate software engineers to tackle unprecedented scaling challenges

Dana Lawson Dana Lawson +1 · World Congress 2026 Europe

Videos

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LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

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World Congress 2024 • about 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform thumbnail
22:57
World Congress 2026 Europe • about 2 months ago

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

Dominik Krichbaum

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

DevOps Maturity Check – a way to balance autonomy and alignment thumbnail
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LIVE • almost 6 years ago

DevOps Maturity Check – a way to balance autonomy and alignment

Martin Thalmann

PySpark - Combining Machine Learning & Big Data thumbnail
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PySpark - Combining Machine Learning & Big Data

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