Base: $90,000 - $150,000 py; bonus/equity: not spe...
On-site
Apache spark for data processing
Python for data automation
Distributed systems fundamentals
The Data Engineer will support the design and development of big data pipelines and distributed data processing systems for enterprise analytics and data products
Job Summary
The Data Engineer will support the design and development of big data pipelines and distributed data processing systems for enterprise analytics and data products.
Assist in building and maintaining large scale data pipelines using Apache Spark and distributed processing frameworks.
Use AI-assisted development tools (e.g., coding copilots, code review and debugging tools) to improve development efficiency and quality.
Matching Summary
The Data Engineer will support the design and development of big data pipelines and distributed data processing systems for enterprise analytics and data products.
Salary
Base: $90,000 - $150,000 per year; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Apache Spark for data processing
Python for data automation
Distributed systems fundamentals
Cloud-based data platforms
AI-assisted development tools
Nice-to-have
Strong problem-solving skills
Willingness to learn
Comfortable in Linux/UNIX environments
Key Requirements
Bachelor's degree in CS, Engineering, or related field