Job description

In this role you will be a hands-on engineer who owns the backend and data infrastructure behind SAIL's analytics products. You'll design and build large-scale data pipelines and the services and APIs that make their output accessible across the organization - from reliable, scalable ingestion and transformation to the interfaces stakeholders actually use. We're looking for engineers with strong fundamentals who enjoy working with data at scale - people who design well-architected systems and care about correctness, reliability, and maintainability. You'll partner closely with teams across Core OS to make sure what you build delivers real impact. 3+ years building production software systems - including backend services and APIs - with strong proficiency in Python Strong software engineering fundamentals, with demonstrated ability in system design and architecture Hands-on experience building and operating data pipelines, with strong SQL and experience across modern data platforms (data warehouses, data lakes, or similar) Experience with CI/CD and production deployment practices Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience Experience working with cloud data platforms (Snowflake, S3, or similar) Experience with containerization technologies such as Docker and Kubernetes Experience with data pipeline orchestration tools (Airflow, Spark, or similar) and transformation frameworks (e.g. dbt) Familiarity with TypeScript/JavaScript or modern frontend frameworks Background in developer productivity, CI/CD systems, or software development workflow domains Experience with BI/visualization platforms such as Tableau

Requirements

Must-haves

3+ years building production software systems - including backend services and APIs - with strong proficiency in Python
Strong software engineering fundamentals, with demonstrated ability in system design and architecture
Hands-on experience building and operating data pipelines, with strong SQL and experience across modern data platforms (data warehouses, data lakes, or similar)
Experience with CI/CD and production deployment practices
Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
Experience working with cloud data platforms (Snowflake, S3, or similar)
Experience with containerization technologies such as Docker and Kubernetes
Experience with data pipeline orchestration tools (Airflow, Spark, or similar) and transformation frameworks (e.g. dbt)
Familiarity with TypeScript/JavaScript or modern frontend frameworks
Background in developer productivity, CI/CD systems, or software development workflow domains
Experience with BI/visualization platforms such as Tableau

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsqlci/cddockerkubernetestypescriptjavascript

Platform: apple
Effort: medium