Senior Data Engineer

Role Description

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.

• 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.

Qualifications

• 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.
• Excellent communication skills, both oral and written, with a demonstrated ability to effectively collaborate with cross-functional teams.
• Advanced degree in Statistics, Computer Science, Mathematics, or a related field or relevant industry experience.

Requirements

• 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.

Benefits

• 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 team 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.