Senior Data Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Design and develop robust data solutions that facilitate scalable analytics and enable data-driven decision-making throughout the organization.

• Oversee the maintenance of the tools and technologies that constitute the foundation of the company’s data capabilities.

• Lead the creation and implementation of data pipelines to ingest, aggregate, and index a variety of data sources into the data warehouse.

• Drive the development of a data warehousing platform that adheres to SOC2 security and compliance standards.

• Collaborate with data analytics teams to support the reporting and analysis of crucial business metrics.

• Work alongside data science and machine learning teams to develop scalable capabilities for generating insights and leveraging LLMs.

• Provide mentorship and guidance to engineers within the data team.

• Establish cross-functional partnerships with Engineering, Analytics, Finance, Backend Engineering, Business Intelligence, Security, and Machine Learning teams.

⛳️ Requirements

• A minimum of 4 years of experience in architecting and implementing large-scale enterprise data solutions.

• At least 2 years of hands-on experience with contemporary data platforms such as Databricks, Snowflake, and Redshift.

• A strong understanding of the architectural principles governing modern data platforms.

• Over 2 years of experience in designing and optimizing high-volume, real-time, and batch ETL pipelines.

• At least 1 year of experience in coaching and mentoring team members.

• Demonstrated ability to excel in startup environments.

• A proactive mindset and a passion for instigating meaningful change.

• Exceptional oral and written communication skills.

• Proven ability to work collaboratively with cross-functional teams and independently drive projects forward.

• An advanced degree in Statistics, Computer Science, Mathematics, or a related discipline, or equivalent industry experience.

• Must be eligible to work in the United States; Runpod is currently unable to sponsor employment visas.

🏝️ Benefits

• Significant equity in a rapidly growing company; all team members receive stock options.

• Flexible paid time off (PTO).

• A remote work-first policy.

• An inclusive and collaborative team that utilizes Slack as the primary means of internal communication.

• A dedicated team at the forefront of AI infrastructure, emphasizing culture, learning, and ownership as core values for scaling.

• A $1,200 stipend for home office and equipment setup.