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.
What You'll Bring:
experience.
ORC, Apache Iceberg, Apache Spark, and similar technologies.
Demonstrated experience in instrumenting, analyzing, and optimizing the performance of data processing engine components on benchmark and customer workloads.
Demonstrated experience in the design, development, and successful release of high-performance data processing engine features for large production deployments.
Good knowledge of the architecture of one or more of Apache Spark, Apache Flink, Presto/
Trino.
Exceptional programming skills in C, C++. Rust experience preferred.
Extensive development experience in Linux environments.
Strong analytical and problem-solving skills with a passion for performance optimization.
Location Considerations:
We value face-to-face collaboration, but recognize that talent can be found anywhere. Our engineering team works at our headquarters in Mountain View, CA, at our India office in Hyderabad, and at remote locations.
Why Join DataPelago?
Technology Leadership: Shape the architecture and development of how our core engine works with advanced data store platforms.
Cutting-Edge Innovation: Work on challenging problems at the forefront of accelerated computing and data processing.
Significant Impact: Your contributions will directly impact the performance and scalability of our mission-critical platform.
Growth: Expand your technical expertise and scope of responsibilities working with other talented engineers and with a growing product.
Competitive compensation, stock options, comprehensive benefits package, leadership de-
velopment opportunities.
DataPelago is building an innovative data processing engine that revolutionizes how traditional analytics and GenAI preprocessing systems operate on large-scale, diverse data. The company specializes in hardware-accelerated computing and is transforming how frameworks like Apache Spark, Apache Flink, and Ray function through advances in parallel processing, query optimization, distributed systems, and cloud-native computing. DataPelago's engine enhances data read and write capabilities across various data types and sources, incorporating support for open table formats like Apache Iceberg and data formats such as Apache Parquet and Apache Arrow.
