Senior Data Engineer

As a Senior Data Engineer, you’ll engage in the design, development, and maintenance of data platforms and solutions, applying data management principles to pipelines and delivering analytical and operational solutions to enable data-driven decision-making and data activation use cases.

Requirements

• Develop ETL and ELT processes to source and curate data from various enterprise systems, ensuring speed and quality of delivery
• Develop tabular and dimensional data models to support analytical and operational use cases
• Build and maintain data processing jobs to refresh data on a regular cadence
• Guide the identification, investigation, and resolution of data quality issues, ensuring data is secure and reliable
• Utilize advanced debugging techniques to troubleshoot complex data pipeline and processing issues
• Lead code review sessions with a focus on performance, scalability, and maintainability
• Work in a hybrid data environment spanning on-premises and cloud data platforms
• Develop relational and non-relational data models to meet user and business needs
• Proactively identify upstream and downstream dependencies that may impact pipeline performance or reliability
• Monitor and address performance and scalability issues across large-scale data platforms
• Participate in on-call rotations for incident management and production support
• Mentor team members and contribute to their technical development
• Partner with leadership to identify and address technical debt and improve team processes
• Stay current on industry trends and promote adoption of best practices across the team
• Contribute to engineering community initiatives to increase visibility into data engineering work

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan