Senior Data Engineer - Real-Time Cost Analytics & Infra

The Consensus; San Francisco (CA); Hybrid; USD 180,000 - 225,000; Full time

Benefits offered by this job

Relocation assistance

Health, dental and vision insurance (U

Team events and offsites

Downtown San Francisco office

Job summary

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 our internal systems and external vendor relationships into a clear picture of cost, margin, and performance.

Your work spans production infrastructure and partner compute costs, landing data signals into analytics stores. You will design low-latency pipelines, implement ingestion to BigQuery and ClickHouse, and partner with infra,

Qualifications

• 5+ years of experience as a software or data engineer.
• Experience shipping code into production infrastructure safely.
• Hands-on experience building ingestion pipelines into a warehouse and low-latency stores.
• Strong SQL and working proficiency in dbt and orchestration tooling.
• Track record of partnering across teams to translate business questions into durable systems.
• Bias for action and ability to operate in fast-moving, ambiguous environments.

Responsibilities

• Instrument data infrastructure to capture cost, margin, and usage signals.
• Build ingestion pipelines from partner APIs, compute vendors, and internal services into BigQuery and a low-latency analytical store.
• Design and operate the ETL backbone powering analytics with durable, observable pipelines.
• Stand up a lightweight write path for analytics-grade telemetry used by data and product teams.
• Collaborate with infra, data and product engineering to define data contracts and instrumentation standards.

Skills

Python

Go

SQL

Data engineering

Cross-functional collaboration

Tools

BigQuery

Snowflake

Redshift

ClickHouse

Druid

Pinot

Job description

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 our internal systems and external vendor relationships into a clear picture of cost, margin, and performance.

Your work spans production infrastructure and partner compute costs, landing data signals into analytics stores. You will design low-latency pipelines, implement ingestion to BigQuery and ClickHouse, and partner with infra,