Senior/Principal Data Engineer
About the role
We’re building a top-tier engineering team to reimagine how labor is managed at scale.
Ideal candidates:
- Are hands-on engineers who thrive in ambiguous, high-impact environments
- Care deeply about system design, scalability, and elegant architecture, and are not afraid to reinvent the future
- Want to work closely with product, design, and AI researchers to bring novel experiences to life
- Prioritize outcomes over output and love solving real business problems
Responsibilities
- Build, optimize, and scale data pipelines and infrastructure using Python, TypeScript, Apache Airflow, PySpark, AWS Glue, and Snowflake
- Design, operationalize, and monitor ingest and transformation workflows, including DAGs, alerting, retries, and SLAs
- Collaborate with platform and AI teams to automate ingestion, data validation, and real-time compute workflows; work toward building a feature store
- Collaborate and pair with the core engineering team to shape ReadyOn’s Integration Platform, including integrating pipeline monitoring with ReadyOn dashboards for full visibility and observability
- Model data structures and implement efficient, scalable transformations in Snowflake and PostgreSQL
- Build reusable frameworks and connectors to standardize internal data publishing and consumption
Your background
- 4+ years of production data engineering experience
- Deep, hands-on experience with Apache Airflow, AWS Glue, PySpark, and Python-based data pipelines
- Solid SQL skills and experience working with PostgreSQL in live environments
- Strong understanding of cloud-native data workflows (AWS preferred) and pipeline observability
- Hands-on experience with a backend TypeScript framework such as NestJS is a huge plus
To apply
If you’re excited about this opportunity and believe you’d be a great fit, we’d love to hear from you! Send a short note to careers@readyon.ai on why you’re interested in joining ReadyOn.
We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong.
Senior/Principal Data Engineer
About the role
We’re building a top-tier engineering team to reimagine how labor is managed at scale.
Ideal candidates:
- Are hands-on engineers who thrive in ambiguous, high-impact environments
- Care deeply about system design, scalability, and elegant architecture, and are not afraid to reinvent the future
- Want to work closely with product, design, and AI researchers to bring novel experiences to life
- Prioritize outcomes over output and love solving real business problems
Responsibilities
- Build, optimize, and scale data pipelines and infrastructure using Python, TypeScript, Apache Airflow, PySpark, AWS Glue, and Snowflake
- Design, operationalize, and monitor ingest and transformation workflows, including DAGs, alerting, retries, and SLAs
- Collaborate with platform and AI teams to automate ingestion, data validation, and real-time compute workflows; work toward building a feature store
- Collaborate and pair with the core engineering team to shape ReadyOn’s Integration Platform, including integrating pipeline monitoring with ReadyOn dashboards for full visibility and observability
- Model data structures and implement efficient, scalable transformations in Snowflake and PostgreSQL
- Build reusable frameworks and connectors to standardize internal data publishing and consumption
Your background
- 4+ years of production data engineering experience
- Deep, hands-on experience with Apache Airflow, AWS Glue, PySpark, and Python-based data pipelines
- Solid SQL skills and experience working with PostgreSQL in live environments
- Strong understanding of cloud-native data workflows (AWS preferred) and pipeline observability
- Hands-on experience with a backend TypeScript framework such as NestJS is a huge plus
To apply
If you’re excited about this opportunity and believe you’d be a great fit, we’d love to hear from you! Send a short note to careers@readyon.ai on why you’re interested in joining ReadyOn.
We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong.
Senior/Principal Data Engineer
About the role
We’re building a top-tier engineering team to reimagine how labor is managed at scale.
Ideal candidates:
- Are hands-on engineers who thrive in ambiguous, high-impact environments
- Care deeply about system design, scalability, and elegant architecture, and are not afraid to reinvent the future
- Want to work closely with product, design, and AI researchers to bring novel experiences to life
- Prioritize outcomes over output and love solving real business problems
Responsibilities
- Build, optimize, and scale data pipelines and infrastructure using Python, TypeScript, Apache Airflow, PySpark, AWS Glue, and Snowflake
- Design, operationalize, and monitor ingest and transformation workflows, including DAGs, alerting, retries, and SLAs
- Collaborate with platform and AI teams to automate ingestion, data validation, and real-time compute workflows; work toward building a feature store
- Collaborate and pair with the core engineering team to shape ReadyOn’s Integration Platform, including integrating pipeline monitoring with ReadyOn dashboards for full visibility and observability
- Model data structures and implement efficient, scalable transformations in Snowflake and PostgreSQL
- Build reusable frameworks and connectors to standardize internal data publishing and consumption
Your background
- 4+ years of production data engineering experience
- Deep, hands-on experience with Apache Airflow, AWS Glue, PySpark, and Python-based data pipelines
- Solid SQL skills and experience working with PostgreSQL in live environments
- Strong understanding of cloud-native data workflows (AWS preferred) and pipeline observability
- Hands-on experience with a backend TypeScript framework such as NestJS is a huge plus
To apply
If you’re excited about this opportunity and believe you’d be a great fit, we’d love to hear from you! Send a short note to careers@readyon.ai on why you’re interested in joining ReadyOn.
We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong.