Data Processing Engineer - I/O

Mountain View, CA / Hyderabad, IN / Remote

About DataPelago:

DataPelago is at the forefront of revolutionizing data processing for traditional analytics and cutting-edge GenAI preprocessing. We are building an innovative data processing engine that is transforming how Apache Spark, Apache Flink, Ray and others operate on diverse, large-scale data. Our team of engineers drive and adopt advances in hardware-accelerated computing, parallel processing of large-scale data, query optimization, distributed systems, compilers, machine learning, and cloud-native computing. We are looking for specialists to join our engineering team and shape the future of accelerated data processing.

The Opportunity:

As a Data Processing Engineer - I/O, you will be a key individual contributor in advancing data
read and write capabilities of DataPelago’s data processing engine. You will enhance functional
breadth, performance, scale, and reliability of the DataPelago engine in reading and writing large scale data of various data types from diverse data sources and data sinks. This is a unique opportunity to make a significant impact on a category-defining product and work with a talented team of engineers.

What You'll Do:

• Architect: Influence the architecture of how our data processing engine interfaces with data
  sources and sinks, catalogs, data formats.
  • Design: Lead design of functional and performance enhancements to adapters/connectors,
  data representations, data filtering, caching and more in our data processing engine.
• Core Development: Individually design, implement, test, optimize, and maintain components of the data processing engine.
• Innovation and Differentiation: Analyze technology roadmap of existing and emerging data
  formats and libraries, open table formats, catalog services, and more (e.g., Apache Arrow,

Apache Parquet, Apache Iceberg) and identify opportunities for our engine to enhance technology and product leadership.

• Collaboration: Partner effectively with engineering and product management in defining and
  realizing the data I/O roadmap of our product..• Continuous Improvement: Foster best practices in design and code reviews, testing, CI/CD,and issue resolution to maintain highest product quality, security, efficiency, & productivity.