Hybrid BI Engineer: Build Data Apps & AI Tools

ssacareers

Washington

Hybrid

USD 120,000 - 160,000

Full time

12 days ago
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Benefits offered by this job

Hybrid work schedule
Equal Opportunity Employer

Job summary

ssacareers is seeking a Business Intelligence Engineer to join the Procurement Data & Tools team in Seattle. You will build internal dashboards, data pipelines, and tools that empower procurement decisions, blending software development with data engineering and product thinking.

You'll work with users to define problems, shape solutions, and deliver production-ready software with measurable business value, including AI-assisted workflows and data-driven decision support.

Qualifications

  • 2-6+ years building applications, internal tools, or data solutions.
  • Bachelor's degree in Computer Science or related field, or equivalent experience.
  • Strong product judgment and ability to turn ambiguous problems into practical solutions.
  • Proficiency in at least one language (e.g., Python, JavaScript/TypeScript, Java, or C#) and reading/debugging code.
  • Hands-on experience with coding agents and data tooling, plus basic CI/CD workflows.

Responsibilities

  • Build and maintain internal applications, reports, data pipelines, and data models.
  • Collaborate with procurement users to understand workflows and define clear requirements.
  • Shape AI-assisted development workflows and verify results for production readiness.
  • Deploy, support, and improve solutions based on real usage and feedback.
  • Communicate effectively with technical and nontechnical stakeholders.

Skills

App development
Product judgment
Learning quickly
Communication
Team collaboration

Education

Bachelor's degree in CS or related field

Tools

GitHub
CI/CD

Job description

ssacareers is seeking a Business Intelligence Engineer to join the Procurement Data & Tools team in Seattle. You will build internal dashboards, data pipelines, and tools that empower procurement decisions, blending software development with data engineering and product thinking.

You'll work with users to define problems, shape solutions, and deliver production-ready software with measurable business value, including AI-assisted workflows and data-driven decision support.

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