MeridianLink
Data Engineer
About this role
We are looking for a skilled Data Engineer to create and manage scalable data pipelines that provide high-quality data across the organization. The role requires collaboration with various stakeholders to implement effective data solutions and enhance our data platform's performance and reliability.
What you'll do
- Develop and maintain scalable data pipelines
- Optimize data ingestion and transformation processes
- Integrate internal and external data sources
- Collaborate on data solutions and analytics support
- Design data models for reporting and analytics
- Ensure data quality and performance monitoring
What they're looking for
- Python
- SQL
- Apache Spark
- Azure Databricks
- ETL/ELT methodologies
- CI/CD practices
- Data warehousing principles
- Strong communication
Benefits
- Opportunity to enhance modern data platform
- Remote work flexibility
- Collaboration across cross-functional teams
- Use of AI-assisted development tools
- Focus on continuous improvement
- [unknown]
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MeridianLink
MeridianLink builds a multi-product SaaS platform with foundational services for identity, authentication, and data integration. The company is hiring Software Engineers, AI Software Engineers, and Data Engineers to develop cloud-based solutions, scalable data pipelines, and platform infrastructure.
View all jobs at MeridianLinkLikely interview questions
- Walk us through your experience designing and building scalable data pipelines. What tools and frameworks have you used, and how did you approach performance optimization?
- Describe your hands-on experience with Apache Spark, Delta Lake, and Azure Databricks. Have you worked with Databricks workflows or Unity Catalog, and what challenges did you encounter?