About the Role
The role involves building and improving core data systems that support company-wide data needs. You will work on data pipelines, storage solutions, and platform tools to ensure performance, reliability, and scalability.
Responsibilities
- Design and implement data storage and processing systems
- Develop and maintain ETL pipelines for large-scale data ingestion
- Ensure data accuracy, consistency, and availability
- Collaborate with data scientists and analysts to understand requirements
- Optimize data workflows for speed and efficiency
- Support real-time and batch data processing frameworks
- Monitor system performance and troubleshoot issues
- Improve data platform observability and monitoring
- Enforce data governance and security standards
- Document architecture and system changes
- Evaluate and integrate new data technologies
- Mentor engineers on best practices in data engineering
- Work closely with infrastructure teams on deployment
- Contribute to roadmap planning for data platforms
- Drive automation in data operations
- Ensure compliance with data privacy regulations
- Scale systems to handle growing data volume
- Participate in code and design reviews
- Improve data lineage and metadata tracking
- Support disaster recovery and backup strategies
Nice to Have
- Master's degree in computer science or related field
- Experience with large-scale data platforms in production
- Hands-on work with Apache Kafka or similar messaging systems
- Contributions to open-source data projects
- Knowledge of machine learning data pipelines
- Experience with data mesh or domain-driven data architecture
- Familiarity with data cataloging tools
- Leadership in cross-team technical projects
Compensation
Competitive salary and equity package based on experience and location
Work Arrangement
Hybrid work model with flexibility to work remotely and in-office
Team
Part of the Data Platforms team focused on building foundational systems for enterprise data use
About the Team
The Data Platforms team owns the core infrastructure that powers data storage, processing, and access across the company. We build tools that enable data teams to work efficiently and reliably at scale.
What We Value
We prioritize technical excellence, collaboration, and long-term system maintainability. Engineers are expected to think critically about scalability, data quality, and operational impact.
Available for qualified candidates requiring work authorization
