Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.
We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.
As a Senior Data Engineer, you will be tasked with designing and implementing robust data solutions that support scalable analytics and data-driven decision-making across the company. You will be instrumental in maintaining the tools and technologies that form the backbone of our data capabilities. This role requires a proactive person motivated to build an efficient, scalable, and secure data ecosystem. You will collaborate with and have solid cross-functional partnerships with all teams, from Engineering to Analytics to Finance. We use tools like Dagster and dbt to orchestrate data pipelines and define workflows between Planetscale, Tinybird, and Snowflake.
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.
Mentor and coach engineers on the data team, fostering a culture of data excellence and innovation throughout the organization.
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, with a strong understanding of their architectural principles.
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 to foster professional growth and development, focusing on cultivating a growth mindset through constructive feedback and support.
Proven track record of thriving in startup environments, with a proactive attitude and a passion for driving impactful change. See yourself as a partner with the business with the shared goal of moving the business forward
Excellent communication skills, both oral and written, with a demonstrated ability to effectively collaborate with cross-functional teams.
You collaborate seamlessly with functional partners to connect the dots across business needs and independently drive projects forward. Your dedicated partnerships are with Backend Engineers, Analytics, Business Intelligence, Security, and Machine Learning practitioners.
Advanced degree in Statistics, Computer Science, Mathematics, or a related field or relevant industry industry experience
What You’ll Receive:
The competitive base pay for this position ranges from 175,000- 220,000 usd. This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location
Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside.
Flexible PTO- take the time you need to recharge
Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication
Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale.
$1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace
Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas
Requires 4+ years designing enterprise data solutions, 2+ years with modern data platforms and ETL pipelines, 1+ year mentoring, excellent communication, and advanced education or relevant industry experience.
Key Responsibilities
- designing pipelines
- developing platforms
- mentoring engineers
Skills & Tools
Dagster, dbt, PlanetScale, Tinybird, Snowflake, Databricks, Redshift, Slack
Job Details
- Category: Data and Analytics
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — United States or San Francisco
- Salary: USD 175,000 – 220,000 / year
- Languages: English
Benefits
- Generous paid time off
About Runpod
An AI developer cloud platform for experimenting, training, deploying, and scaling artificial intelligence applications. — Industry: Information Technology