Fable Security
Software Engineer - Data Infrastructure
San Francisco, CA (Hybrid)
Sponsorship not specified$160k-$225kDetected 107 days ago
AWSGCPCloud PlatformsPlatform EngineeringKafkaMachine LearningSparkAirflowdbtData EngineeringData ScienceA/B Testing
About the role
- As a Data Infrastructure Engineer, you will own the architecture, scalability, and reliability of our data platform.
- You'll design and build the systems that power everything from real-time product features to internal analytics and machine learning workflows-from raw ingestion to production-ready datasets.
- You'll develop the architecture and establish best practices on which our data-driven products are built.
Responsibilities
- Design, build, and maintain scalable data pipelines and infrastructure
- Develop batch and streaming systems for ingesting and processing large-scale data
- Own core components of the data platform (warehouse, lake, orchestration, tooling)
- Implement data modeling, transformation, and versioning frameworks
- Optimize systems for performance, cost, and scalability
- Build tooling to support reproducible datasets and experimentation
- Partner with data scientists and engineers to productionize ML and analytics workflows
- You'll be responsible for building the systems that enable:
- Your work will directly impact how the company builds, ships, and scales.
- Build and scale the foundational data infrastructure powering a category-defining product
Requirements
- 3-7+ years of experience in data infrastructure, infrastructure, or platform engineering
- Strong understanding of real-time and batch data processing systems, including stream processing, messaging architectures, and large-scale data workflows (Spark, Kafka, etc.)
- Experience with modern data tooling (dbt, Airflow, etc.)
- Strong understanding of data modeling, ETL/ELT, reverse ETL, and orchestration
- Experience designing for scalability, reliability, and observability
- Hands-on experience with cloud platforms (AWS/GCP) and storage systems
- Ability to operate in a fast-moving startup environment with high ownership
Nice to have
- Familiarity with ML infrastructure or feature stores
- Experience with data versioning, lineage, or reproducibility systems
- Background in security, compliance, or high-sensitivity data domains
- Previous experience at an early-stage startup
- We value impact over process-you'll ship quickly and iterate
- Engineers have high ownership and autonomy
- We operate with tight feedback loops across product and engineering
- We prioritize technical rigor, simplicity, and long-term scalability
Skills
- Work closely with engineering, data science, and product teams to operationalize data at scale
- Join a small, high-caliber team where you'll have outsized ownership and impact
Compensation
- Competitive salary + equity
- The estimated salary range for this position is estimated to be $160K - $225K / year.
- Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives.
- Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors.
Benefits
- Competitive salary + equity
- Health, dental, vision coverage
Company info
- Reliable, production-grade data for customers and internal teams
Equal opportunity
- Fable Security is an equal opportunity employer.
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