[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. Runpod is an AI Developer Cloud that provides infrastructure for developers to experiment with, train, deploy, and scale AI applications. The Senior Data Engineer will own end-to-end data ingestion pipelines, data products, quality and observability systems, warehouse optimization, infrastructure as code, and production data incident response while working with AI agents.

Responsibilities

• Own the design, implementation, and operation of data pipelines end to end: batch and near-real-time streaming ingestion into Snowflake, bronze-to-silver transforms in dbt, and the orchestration and infrastructure that support them
• Build well-documented, high-quality data products that are modeled, tested, and easy to understand, and that analytics, finance, and engineering teams rely on for critical decisions
• Treat data quality and observability as part of every deliverable: dbt tests, freshness and anomaly monitoring, lineage, and alerting that stays trustworthy. A noisy alert is a defect
• Diagnose and optimize warehouse cost and performance across query profiles, clustering, and warehouse sizing, and verify claims with measurement before shipping changes
• Debug production data incidents independently: root-cause across the pipeline, assess blast radius, fix, and verify downstream impact
• Manage infrastructure as code (Terraform for AWS and Snowflake) with the discipline that entails. In our world, merge is deploy
• Work daily with AI agents: delegate well-scoped work, verify and own the correctness of AI-assisted output, and contribute skills and documentation that make the agents (and the humans) more effective
• Partner cross-functionally to turn business questions into data requirements, and data requirements into shipped, maintained systems

Skills

• 5+ years of professional software engineering experience, with at least 3 years focused on data engineering in modern cloud environments
• Strong Python and advanced SQL, applied with an engineer's discipline: code that is tested, reviewed, and built to be maintained
• Hands-on depth in a modern MPP/OLAP warehouse or query engine, including the internals: query profiling, clustering and partitioning, cost attribution, and performance tuning
• Experience with Trino, ClickHouse, Spark, BigQuery, or similar also counts
• Experience building and operating orchestrated pipelines (Dagster, Airflow, or similar) and analytics engineering with dbt or equivalent
• A track record of owning systems in production: monitoring, incident response, and the follow-through to leave things better than you found them
• Demonstrated ability to use AI tools to improve the speed and quality of your work, with critical evaluation and verification of AI-assisted output
• Excellent written communication. On a small distributed team working with agents, clear documentation is how decisions propagate
• Infrastructure-as-code experience (Terraform preferred) and comfort operating in AWS
• Experience with streaming or near-real-time ingestion (Kinesis, Kafka, Snowpipe Streaming, or similar)
• Experience building with LLMs or agent frameworks (tool use, orchestration, evaluation)
• Startup experience: comfort with ambiguity, breadth, and shipping the MVP
• We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas
• Snowflake preferred
• Fluency in other languages is a plus (e.g. Go, Rust, Scala)
• Infrastructure-as-code experience (Terraform preferred) and comfort operating in AWS

Benefits

• 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
• $1,200 Home Office & Equipment Stipend-We set you up for success from day one with gear and support to create your ideal workspace
• Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale.

Company Overview