Data Platform Engineer II – Build Reliable Data Pipelines

Blue Origin LLC; Seattle (WA); On-site; USD 135,000 - 189,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Stock options

Paid time off

Job summary

Blue Origin LLC is seeking a Software Engineer II for the Data Platform Automation (DPA) team. You will design, develop, test, deploy, and support scalable data-pipeline and automation services that power the company’s data ecosystem.

You will work with data engineers, platform partners, and internal customers to implement secure, reliable software, improve observability, and reduce data ingestion friction while adhering to coding standards and security practices.

Qualifications

• 3+ years of professional software-development experience.
• Proficiency with Python/Java/Scala/C#/Go/TypeScript.
• Experience with APIs, data structures, testing, and debugging.
• Working knowledge of SQL and data systems.

Responsibilities

• Design, develop, test, deploy, and support production software components for Data Platform Automation (DPA) platform services, data pipelines, and automation workflows.
• Implement well-structured, observable, and maintainable services with testing and version control.
• Collaborate with data engineers, analytics teams, and platform owners to clarify requirements and deliver improvements.
• Monitor services, troubleshoot incidents, perform root-cause analysis, and apply durable fixes.
• Improve developer and user experience through automation and tooling.

Skills

Python

Java

Scala

C#

Go

TypeScript

LLMs

Education

Bachelor's degree in computer science or related field

Tools

Databricks

Apache Airflow

Dagster

dbt

Tableau

Job description

Blue Origin LLC is seeking a Software Engineer II for the Data Platform Automation (DPA) team. You will design, develop, test, deploy, and support scalable data-pipeline and automation services that power the company’s data ecosystem.

You will work with data engineers, platform partners, and internal customers to implement secure, reliable software, improve observability, and reduce data ingestion friction while adhering to coding standards and security practices.