Software Engineer II (Data Platform)

Location: WA - Landmark (Ride East), United States of America; Greater Seattle Area. U.S. citizenship or nationality, permanent residency, refugee status, or asylum status is required.

Base pay for Washington applicants: $134,961.00–$188,945.40 annually; other site ranges may differ.

Company

hirify.global develops reusable, safe, and low-cost space vehicles and systems, with Enterprise Technology providing digital infrastructure for its spaceflight mission.

What you will do

• Design, develop, test, deploy, and support production software components for Data Platform Automation services, data pipelines, and automation workflows.
• Build observable, maintainable services and integrations using code review, automated testing, version control, and documentation.
• Partner with data engineers, analytics teams, platform owners, and internal customers to define requirements, create technical designs, and deliver improvements.
• Monitor services, troubleshoot incidents, perform root-cause analysis, and implement durable corrective actions.
• Improve developer and user experience through automation, reusable tooling, clear interfaces, and simplified operational work.
• Participate in design reviews and technical discussions while communicating tradeoffs, risks, progress, and dependencies.

Requirements

• Bachelor’s degree in computer science, software engineering, a related technical field, or equivalent practical experience.
• 3+ years of professional software-development experience, including building, testing, and maintaining production software.
• Proficiency in at least one general-purpose programming language such as Python, Java, Scala, C#, Go, or TypeScript.
• Proficiency with Large Language Models for code generation, debugging, and development assistance.
• Experience with object-oriented or functional design, APIs, data structures, source control, automated testing, and debugging.
• Working knowledge of SQL and relational or distributed data systems.
• Ability to investigate ambiguous technical issues, decompose work into achievable steps, and communicate with technical and non-technical partners.
• Commitment to high-quality, secure, and dependable engineering practices.

Nice to have

• Experience with data-platform, analytics, workflow-orchestration, or cloud-based services.
• Experience with Databricks, Apache Airflow, Dagster, dbt, Tableau, or comparable platforms.
• Experience with cloud infrastructure, containerized applications, CI/CD pipelines, infrastructure as code, and production observability.
• Experience designing resilient integrations with APIs, event-driven systems, or enterprise data sources.
• Familiarity with data quality, metadata, governance, access control, or lineage practices.
• Experience in an Agile product or platform team and direct partnership with internal customers.
• Strong written technical communication, including design notes, operational runbooks, and user-facing documentation.

Culture & Benefits

• Collaborative and inclusive environment focused on safety, quality, and dependable engineering.
• Medical, dental, vision, life insurance, disability coverage, and paid parental leave.
• 401(k) with company matching of up to 5% and an Education Support Program.
• Stock options for regular employees working at least 20 hours per week.
• Up to four weeks of paid time off and up to 14 company-paid holidays.
• Standard background check required; additional checks may apply to certain roles.