What are the responsibilities and job description for the Cloud Data Platform Engineer position at Jobs via Dice?
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Technical Skills:
Hands on data engineering role with strong preference for Google Cloud Platform experience. Manager clarified this is not an AI first role. The priority is a true data engineer who is actively coding, building data pipelines, and working with cloud based data platforms.
Must have strong experience with Python, Spark, Airflow, Cloud Composer, and Google Cloud Platform. Node.js and React are also now considered required, not just a plus. Candidate does not need to be a senior front end developer, but must be able to build simple standalone web interfaces, forms, and workflows that connect to backend data, ML, or AI models.
AI experience is helpful, but do not over filter for LangChain, RAG, or Graph RAG. Those are nice to have, not core requirements.
Ideal candidate is a hands on data engineer first, with practical Node.js and React experience. Must be able to clearly explain work they personally built. Conversion is yes, and candidate must be open to converting to full time.
Top Skills:
Google Cloud Platform
Python
Spark
Airflow
Cloud Composer
Node.js
React
JavaScript
Data pipeline development
Hands on coding
Open to full time conversion
Nice To Have:
AI or ML exposure
LangChain
RAG
Graph RAG
Cybersecurity experience
Financial services experience
Technical Skills:
Hands on data engineering role with strong preference for Google Cloud Platform experience. Manager clarified this is not an AI first role. The priority is a true data engineer who is actively coding, building data pipelines, and working with cloud based data platforms.
Must have strong experience with Python, Spark, Airflow, Cloud Composer, and Google Cloud Platform. Node.js and React are also now considered required, not just a plus. Candidate does not need to be a senior front end developer, but must be able to build simple standalone web interfaces, forms, and workflows that connect to backend data, ML, or AI models.
AI experience is helpful, but do not over filter for LangChain, RAG, or Graph RAG. Those are nice to have, not core requirements.
Ideal candidate is a hands on data engineer first, with practical Node.js and React experience. Must be able to clearly explain work they personally built. Conversion is yes, and candidate must be open to converting to full time.
Top Skills:
Google Cloud Platform
Python
Spark
Airflow
Cloud Composer
Node.js
React
JavaScript
Data pipeline development
Hands on coding
Open to full time conversion
Nice To Have:
AI or ML exposure
LangChain
RAG
Graph RAG
Cybersecurity experience
Financial services experience