The Role
As a Senior Data Engineer you will help build and evolve the systems that power internal data products and operational insights.
Key responsibilities include:
- Design and build scalable data pipelines and transformation frameworks for high volume data processing
- Own data ingestion and egress systems that integrate multiple operational data sources
- Develop secure, reliable data models that power internal data products and applications
- Partner with engineering, product, and operations teams to translate business needs into production grade systems
- Implement and advocate for best practices across data modeling, testing, CI/CD, and security
- Debug, monitor, and optimize complex transformation pipelines in production environments
- 5+ years of experience in data engineering or backend engineering
- Strong programming skills in Python or a comparable language
- Hands on experience with Spark, PySpark, SQL, and dbt
- Experience working with large scale data platforms in cloud environments such as AWS, Azure, or GCP
- Familiarity with containerization and modern deployment practices
- Ability to work autonomously in fast moving environments
- Strong ownership mindset and attention to data security and reliability
- Must be a U.S. Person due to export-controlled information requirements
This is a high-impact role focused on building durable data systems that directly support operational execution at scale.
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