About the role
TL;DR
Design and implement robust data solutions for scalable analytics and data-driven decision-making.
- •Runpod is seeking a Senior Data Engineer to design and implement robust data solutions that support scalable analytics and data-driven decision-making.
- •You will be instrumental in maintaining the tools and technologies that form the backbone of our data capabilities.
- •Key Responsibilities Lead the design and development of robust data pipelines to ingest, aggregate, and index diverse data sources into our organization's data warehouse.
- •Spearhead the development of a cutting-edge data warehousing platform, ensuring it meets SOC2 security and compliance requirements.
- •Collaborate closely with data analytics to ensure the data platform effectively supports reporting and analyzing key business metrics.
- •Partner with the data science and machine learning team to build scalable capabilities for insight generation and leveraging LLMs.
- •Requirements 4+ years of experience architecting and implementing large-scale enterprise data solutions. 2+ years of proficient experience in modern data platforms such as Databricks, Snowflake, and Redshift. 2+ years of demonstrated expertise in designing and optimizing high-volume, real-time, and batch ETL pipelines. 1+ years of experience in coaching and mentoring team members.
Required skills
SQLSnowflakeDatabricksdbtDagsterPythonSOC 2
Nice-to-have skills
Redshift
Domain expertise
developer-toolsai
Benefits & perks
Equity, Flexible PTO, Remote work, Home Office & Equipment Stipend
Tech stack
PythonSQLDagsterdbtSnowflakeDatabricksRedshift