Principal Engineer creating engineering solutions within Design & Engineering teams at Arcadis, focusing on renewable energy and sustainable practices.
About the role
- Staff Software Engineer designing and developing scalable search infrastructure for Slack. Collaborating on product features and optimizing data processing pipelines for performance and reliability.
Responsibilities
- Design and develop scalable, resilient offline indexing pipelines for Slack's search infrastructure
- Work with product engineering on new features for a growing user base
- Optimize data processing pipelines for performance, cost-efficiency, and reliability
- Collaborate with team members to ensure high availability and data freshness across distributed systems
- Actively own indexing pipeline features and improve surrounding data infrastructure
- Monitor and optimize pipeline performance while addressing data quality issues
- Mentor other engineers and review code
- Improve engineering standards, tooling, and processes
Requirements
- 7+ years of experience in building web applications and operating large-scale distributed systems
- Experienced with distributed data processing frameworks such as Spark, Hadoop, Map/Reduce, or EMR
- Deep experience with workflow orchestration tools like Airflow
- Proficient in languages commonly used for data engineering (e.g., Python, Java, Scala)
- Track record of developing high-availability, performant data pipelines across multiple clusters and regions
- Strong communication skills for explaining complex technical concepts to diverse teams
- Computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval
- Bachelor's degree in Computer Science, Engineering or related field, or equivalent
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
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