AI Data Engineering Manager
virtual vocationsDenver (CO)
About the role
The full-time salaried AI Data Engineering Manager will lead the data engineering team, developing and implementing AI-driven data architecture strategies while collaborating with business leads and overseeing staff performance in a remote work environment.
Key responsibilities:
Drive the development and implementation of data engineering architecture leveraging AI to align with company performance objectives
Partner with architecture and product teams to enhance data literacy and contribute to the data product strategy
Manage staff performance and professional development through coaching, assessment, and mentoring activities
Required qualifications:
Bachelor's degree or equivalent work experience
7+ years of data engineering/IT/project management experience, including at least 2 years in a management role
4+ years of experience with data integration/ETL tools and technologies such as Hadoop, Spark, and AWS
2+ years of experience with AI engineering concepts and tools
2+ years of hands-on experience in software development and database management
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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