Software Engineer – Data Infrastructure

🕒 April 7

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Fable

WebsiteLinkedInAll Job Openings

11 - 50 employees

📚 Education

🏢 Enterprise

☁️ SaaS

Education • Enterprise • SaaS

Fable is a technology company focused on digital accessibility. Powered by inclusive research and testing with people with disabilities, Fable offers a platform for accessibility leaders, UX designers, product managers, and engineers to create inclusive products. Their services include accessibility testing, custom training, and tools like the Accessible Usability Scale. Fable’s client base spans multiple industries including retail, e-commerce, financial services, and media, and is trusted for its enterprise-level security. It was highlighted by its recent $25M Series B funding round, emphasizing its commitment to building a more accessible digital world.

📋 Description

• 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 • Ensure data quality, observability, and reliability across pipelines • 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 • Contribute to secure and compliant data infrastructure in cloud environments

🎯 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 • Familiarity with ML infrastructure or feature stores is a nice-to-have • Experience with data versioning, lineage, or reproducibility systems is a nice-to-have • Background in security, compliance, or high-sensitivity data domains is a nice-to-have • Previous experience at an early-stage startup is a nice-to-have

🏖️ Benefits

• Competitive salary + equity • Health, dental, vision coverage • Flexible PTO • Opportunity to join at an early stage and shape the company’s foundation