Note: The job is a remote job and is open to candidates in USA. fal is a generative media ecosystem powering the next generation of AI products. As a Senior Data Engineer, you will build the data infrastructure that provides insights into cost, margin, and performance, working closely with the infrastructure team to enhance core systems and analytics capabilities.

Responsibilities

• Instrument fal's core infrastructure to capture CPU, GPU, and request-level signals, working alongside our infra team to land changes safely in critical paths
• Build ingestion pipelines from partner APIs, compute vendors, and internal services into BigQuery and a new low-latency analytical store (e.g., ClickHouse)
• Design and operate the ETL backbone that powers cost, margin, and usage analytics with durable, observable pipelines
• Stand up a lightweight, low-latency write path that the data team and product engineers can target directly for analytics-grade telemetry
• Partner with infra, data and product engineering to define data contracts and instrumentation standards, and act as the connective tissue between operational systems and the analytics layer

Skills

• 5+ years of experience as a software or data engineer, with a software-engineering-heavy track record (Python, Go, or similar)
• Demonstrated ability to ship code into critical production infrastructure safely, including familiarity with database performance, query patterns, and incident risk
• Hands-on experience building ingestion pipelines into a warehouse (BigQuery, Snowflake, Redshift) and at least one low-latency analytical store (ClickHouse, Druid, Pinot, or similar)
• Strong SQL and working proficiency in dbt and orchestration tooling (Dagster, Airflow, Prefect)
• Track record of partnering across teams (infra, product engineering, data) and translating business questions into durable systems
• Bias for action and comfort working in fast-moving, ambiguous environments
• Experience instrumenting GPU/accelerator workloads or other infrastructure-cost-heavy systems
• Exposure to FinOps or infrastructure cost modeling at a cloud-native company
• Experience with developer-facing API products or platforms
• Early-stage or fast-scaling startup experience

Benefits

• Equity
• Benefits
• We offer relocation assistance to San Francisco.
• Health, dental, and vision insurance (US)
• Regular team events and offsites

Company Overview