Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $175k - $220k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Runpod

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

💰 $20M Seed on 2024-06

Artificial Intelligence • SaaS • B2B

Runpod is a cloud platform that provides on-demand GPU compute and managed infrastructure tailored for AI development and deployment. It offers GPU "Pods" across 31 global regions, serverless GPU endpoints for low-latency inference, multi-node GPU clusters for distributed training, and a hub for deploying open-source models and templates. Runpod emphasizes fast startup (sub-200ms cold starts), autoscaling from zero to thousands of workers, support for 30+ GPU SKUs, and tooling for the full AI lifecycle from experiment to production, targeting developers and enterprise AI teams.

📋 Description

• Design and implement robust data solutions supporting scalable analytics and data-driven decision-making across the company • Maintain the tools and technologies forming the backbone of the company’s data capabilities • Lead the design and development of data pipelines to ingest, aggregate, and index diverse data sources into the data warehouse • Spearhead development of a data warehousing platform meeting SOC2 security and compliance requirements • Collaborate with data analytics to support reporting and analysis of key business metrics • Partner with data science and machine learning teams to build scalable capabilities for insight generation and leveraging LLMs • Mentor and coach engineers on the data team • Build cross-functional partnerships with Engineering, Analytics, Finance, Backend Engineering, Business Intelligence, Security, and Machine Learning teams

🎯 Requirements

• 4+ years of experience architecting and implementing large-scale enterprise data solutions • 2+ years of proficient experience with modern data platforms such as Databricks, Snowflake, and Redshift • Strong understanding of modern data platform architectural principles • 2+ years of experience designing and optimizing high-volume, real-time, and batch ETL pipelines • 1+ years of experience coaching and mentoring team members • Proven ability to thrive in startup environments • Proactive attitude and passion for driving impactful change • Excellent oral and written communication skills • Ability to collaborate with cross-functional teams and independently drive projects forward • Advanced degree in Statistics, Computer Science, Mathematics, or a related field, or relevant industry experience • Must be eligible to work in the United States; Runpod is currently unable to sponsor employment visas

🏖️ Benefits

• Meaningful equity in a fast-growing company; everyone on the team receives stock options • Flexible PTO • Remote work-first arrangement • Inclusive, collaborative team using Slack as the main form of internal communication • Passionate team on the cutting edge of AI infrastructure, with culture, learning, and ownership at the heart of scaling • $1,200 Home Office & Equipment Stipend