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About the Role
ReadyOn.AI is seeking a hands-on Senior Data Engineer to own the data platform and core data services that power their real-time labor operating system. This role is crucial for enabling AI agents to orchestrate frontline work across thousands of shifts, locations, and workers daily. The ideal candidate thrives in ambiguous, high-impact environments, cares deeply about system design and scalability, and enjoys solving real business problems with data and automation.
Responsibilities
- Design, build, and scale data pipelines and data services using Python, TypeScript, Apache Airflow, PySpark, AWS Glue, and Snowflake for real-time and batch workloads.
- Design, operationalize, and monitor ingest and transformation workflows, including DAGs, alerting, retries, SLAs, and data quality checks.
- Collaborate with AI, platform, and backend teams to automate ingestion, data validation, and real-time compute workflows, and drive the roadmap toward a production-grade feature store.
- Partner with the core engineering team to shape ReadyOn’s Integration Platform, ensuring clean integration with external systems (HCM, WFM, payroll, timekeeping).
- Model data structures and implement efficient, scalable transformations in Snowflake and PostgreSQL, including schema design, indexing, partitioning, and query optimization.
- Build reusable frameworks, connectors, and internal libraries for data publishing, discovery, and consumption.
- Implement and continuously improve observability across pipelines and services: structured logging, metrics, tracing, data quality monitoring, lineage, and incident response.
- Provide technical leadership on data and backend integration, including system design, code reviews, and mentoring other engineers.
Requirements
- 5+ years of production data engineering experience, including owning critical pipelines, datasets, and services.
- Deep, hands-on experience with Apache Airflow, AWS Glue, PySpark, and Python-based data pipelines.
- Solid SQL skills and experience working with PostgreSQL in production.
- Strong understanding of cloud-native data and service workflows (AWS preferred).
- Fluency in TypeScript and experience with a backend framework such as NestJS.
- Experience implementing observability for data and backend systems.
- Comfortable collaborating with AI/ML and data science teams.
Skills
- Python
- TypeScript
- Apache Airflow
- PySpark
- AWS Glue
- Snowflake
- PostgreSQL
- SQL
- NestJS
- GraphQL (plus)
- Observability
- Data Pipelines
- Data Services
- Data Modeling
- Schema Design
- Query Optimization
- Cloud-native workflows
- Backend Frameworks
- System Design
- Scalability
- Architecture
Location
- San Francisco
Work Type
- In office
- Full-time
Experience Level
- Senior
- Principal
About the Company
- ReadyOn.AI is an AI-native Labor Operating System redefining how large enterprises manage frontline labor.
- Born out of a Stanford AI Lab, the company applies advanced AI and market-design principles to match frontline workers to shifts in real time.
- The platform is proven at global scale, powering labor operations for Fortune 250 companies.
- Headquartered in San Francisco with 80 employees, ReadyOn experienced 8x year-over-year revenue growth in 2025.
- The founding team consists of experts in labor markets, enterprise software, and AI-enabled platforms.