Hybrid Data Engineer Real-time Pipelines & Ml-ready Data
Cornerstone OnDemand
Charlotte, North Carolina, US
About the Role
A leading technology firm is seeking a Data Engineer to work in a hybrid capacity, responsible for designing and maintaining data pipelines, automating workflows, and collaborating with data scientists to deploy machine learning models. The ideal candidate has over 3 years of SQL experience, strong skills in Python and other object-oriented languages, and is familiar with cloud solutions like AWS and Azure. This role emphasizes teamwork, problem-solving, and a commitment to data quality. #J-18808-Ljbffr
Responsibilities
- Design and maintain data pipelines
- Collaborate with data scientists to deploy ML models
- Automate workflows
Qualifications
- 3+ years SQL
- Python and OO languages
- Cloud: AWS, Azure
Required Skills
SQL
Python
ETL
data quality
Cloud
Keywords
data engineer
real-time pipelines
ml-ready data
hybrid
cloud
Interested in this role?
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