Staff Engineer – Data & Inference

Fluency Digital, Inc.; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Fluency Digital, Inc. is seeking a data engineer to join their team in San Francisco, California. This role focuses on building the data and inference infrastructure for B2B marketing, ensuring hyper-precise targeting through data. Candidates should have 6 to 12 years of engineering experience and strong expertise in distributed systems.

The ideal candidate will be fluent in Python and NodeJS, with hands-on experience with Spark and Kafka. A familiarity with React and Kubernetes is also essential. Join us in redefining how B2B marketing operates!

Qualifications

• 6 to 12 years of engineering experience in data infrastructure.
• Proven experience with distributed systems.
• Hands-on experience with Spark and Kafka.

Responsibilities

• Architect pipelines to synthesize enterprise datasets.
• Build data and inference infrastructure for precise targeting.
• Maintain CI/CD pipelines for high-throughput data services.

Skills

Data infrastructure expertise

Fluency in Python

Fluency in NodeJS

Experience with Spark

Experience with Kafka

Orchestrating workflows with Airflow

CI/CD pipeline development

React familiarity

Tools

Kubernetes

K8s

Job description

B2B marketing platform delivering hyper-precise targeting through data

B2B marketing runs on bloated lists and spray-and-pray outreach, burning budget on leads that never convert. This role builds the data and inference infrastructure to replace that guesswork with actual precision. You will architect the pipelines that synthesize massive enterprise datasets, pushing them through inference engines to pinpoint the right accounts at the exact right moment.

What we’re looking for:

• 6 to 12 years of engineering experience, with deep expertise in data infrastructure and distributed systems
• Fluency in Python and NodeJS, with hands-on production experience running Spark and Kafka
• Proven ability to orchestrate complex workflows using Airflow within Kubernetes environments
• Comfortable building and maintaining CI/CD pipelines for high-throughput data services
• Experience operating across the stack, with enough React familiarity to bridge data systems with frontend delivery
• Must be based in the United States.

Tech stack: Python, NodeJS, React, Spark, Kafka, Airflow, Kubernetes, K8s