Senior Software Engineer, Data

fal is the generative media ecosystem powering the next generation of AI products. As a Senior Data Engineer at fal, you will build the data infrastructure that turns internal systems and external vendor relationships into a clear picture of cost, margin, and performance.

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

Requirements:

• 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