AI & Big Data Data Engineer - Cloud Professional Services

Google LLC

Boulder (CO)

On-site

USD 130,000 - 187,000

Full time

13 hours ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) with company match
Paid time off

Job summary

Google LLC is seeking a Data Engineer within the Google Cloud Consulting Professional Services team in the United States. You will guide customers on ingesting, storing, and processing data on Google Cloud, leading migrations and designing scalable pipelines.

You will collaborate with clients to architect data-driven solutions, provide best practices, and support analytics across diverse industries, with travel up to 30% for regional reviews and on-site delivery.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5+ years of experience with data processing software like Spark/Beam and algorithms.
  • Experience managing client-facing projects and collaborating with Engineering/Sales.
  • Experience with database administration or data engineering; Java/Python/ SQL skills.

Responsibilities

  • Act as a trusted technical advisor to customers for Big Data and AI challenges.
  • Deliver best practice recommendations, tutorials, and technical presentations.
  • Analyze on-premises and cloud environments for optimal Google Cloud deployment.
  • Travel up to 30% regionally for meetings, reviews, and onsite delivery.
  • Communicate effectively via video conferencing for collaborations.

Skills

Spark
Beam
Java
Python
SQL
Client-facing projects

Education

Bachelor's degree in Computer Science or related field

Tools

GCP

Job description

Google LLC is seeking a Data Engineer within the Google Cloud Consulting Professional Services team in the United States. You will guide customers on ingesting, storing, and processing data on Google Cloud, leading migrations and designing scalable pipelines.

You will collaborate with clients to architect data-driven solutions, provide best practices, and support analytics across diverse industries, with travel up to 30% for regional reviews and on-site delivery.

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