What are the responsibilities and job description for the Data Engineer (Databricks + Python) Full Stack position at Jobs via Dice?
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Key Responsibilities
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Databricks and Python.
- Build and support data platforms that power AI applications, including pricing engines and analytics systems.
- Develop and manage ETL/ELT workflows for large-scale data processing.
- Work across the full data stack including ingestion, transformation, storage, and consumption layers.
- Collaborate with data scientists, analysts, and engineering teams to deliver data-driven solutions.
- Optimize data processing performance and ensure high availability of data platforms.
- Implement data validation, quality checks, and monitoring frameworks.
- Support integration of data pipelines with AI/ML models and downstream applications.
- Strong experience in Databricks (mandatory).
- Strong proficiency in Python for data engineering.
- Experience building scalable data pipelines and ETL workflows.
- Solid understanding of data engineering fundamentals and data platform architecture.
- Experience working with structured and large-scale datasets.
- Familiarity with cloud-based data platforms (AWS, Azure, or Google Cloud Platform).
- Strong problem-solving and debugging skills.