Principal Software Engineer, Data Processing OSS

Job Summary

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.

DataPelago Nucleus is a universal data processing engine that is designed to accelerate the processing of diverse data structured through unstructured with any parallel processing framework e.g. Apache Spark on any infrastructure including vectorized CPU and GPU. DataPelago Accelerator for Spark (DPA-S) our product based on DataPelago Nucleus is running large-scale production applications of many globally renowned customers.

The Opportunity:

As a Senior/Principal Data Processing Engineer - OSS you will be a key individual contributor in adopting and advancing capabilities of open-source software (OSS) platforms such as Apache Gluten Velox Apache Spark and Apache Flink in the context of DataPelagos data processing engine. You will enhance functional breadth performance scale and reliability of the DataPelago engine through downstream and upstream contributions. You will have the opportunity to engage with community working on these platforms. This is a unique opportunity to make a significant impact on a category-defining product and work with a talented team of engineers.

What Youll Do:

• Architect: Influence the architecture of how our data processing engine interfaces with open-source platforms and engines.
• Design: Lead design of functional and performance enhancements to open-source platforms such as Apache Gluten and Velox and their integration with 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 Apache Gluten Velox and equivalent platforms and identify opportunities for our engine to enhance technology and product leadership.
• Collaboration: Partner effectively with engineering product management open-source community and customer success teams.
• 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 Youll Bring

• 15 years of relevant experience Bachelors degree in Computer Science or a related field OR a Masters degree in Computer Science or a related field.
• 3 years of deep technical experience in developing core components of Apache Spark Apache Flink Apache Doris Apache Gluten Velox Apache DataFusion Apache DataFusion Comet or equivalent platforms designed for large-scale data processing.
• 3 years of deep technical experience in instrumenting analyzing and optimizing the performance of data processing engine components on benchmark and customer workloads.
• Sound knowledge of the architecture and internal operation of one or more of Apache Spark Apache Flink Presto/Trino.
• Demonstrated experience in the design development and successful release of high-performance data processing engines for large production deployments.
• Exceptional programming skills in C C and Java.
• Extensive development experience in Linux environments.
• Strong analytical and problem-solving skills with a passion for performance optimization.

Compensation:
The target salary range for this position is 227800 - 338800 USD. The salary offered will be determined by the candidates location qualifications experience and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards reflecting a variety of factors and include a comprehensive benefits package. This may cover Health Insurance Life Insurance Retirement or Pension Plans Paid Time Off various Leave options Performance-Based Incentives employee stock purchase plan and/or restricted stocks (RSUs) with all offerings subject to regional variations and governed by local laws regulations and company policies. Benefits may vary by country and region and further details will be provided as part of the recruitment process.

Required Experience:

Staff IC