Want to get hired at XO Health Inc.?

Director Data Engineering

XO Health Inc.

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Original Job Summary

Overview

XO Health Inc. is an innovative startup transforming healthcare. The Director Data Engineering leads the data strategy, builds advanced data solutions, and drives analytics to optimize operations and enhance patient care.

Key Responsibilities

  • Design and implement scalable data pipelines, warehouses, and lakes.
  • Develop and deploy advanced analytics models including machine learning.
  • Collaborate cross-functionally to translate data insights into business strategies.
  • Ensure privacy, security, and HIPAA compliance of data systems.
  • Manage Data Jira boards and oversee team operations.
  • Drive performance optimization and process improvements.
  • Champion innovation with emerging technologies.

Qualifications

  • Bachelor’s degree or higher in Computer Science, Engineering, or related field.
  • 7+ years leading engineering teams and 9+ years in big data systems on AWS.
  • Expertise in software architecture, statistical modeling, and predictive analytics.
  • Experience in managing regulated healthcare data (HIPAA, FHIR).
  • Excellent communication, problem-solving, and leadership skills.

Why Join XO Health Inc.?

Be part of a forward-thinking healthcare startup shaping the future of value-based care. Enjoy a collaborative work environment with competitive compensation and benefits.

Key skills/competency

Director Data Engineering, data pipelines, AWS, machine learning, predictive analytics, HIPAA, FHIR, big data, leadership, innovation

How to Get Hired at XO Health Inc.

🎯 Tips for Getting Hired

  • Research XO Health Inc.'s culture: Study their mission, values, and recent initiatives.
  • Customize your resume: Highlight AWS, big data, and analytics expertise.
  • Prepare for technical interviews: Review data architectures and machine learning methods.
  • Show leadership skills: Provide examples of managing engineering teams.

📝 Interview Preparation Advice

Technical Preparation

Review AWS big data modules.
Practice designing scalable data pipelines.
Study machine learning algorithm implementations.
Understand HIPAA and FHIR best practices.

Behavioral Questions

Describe a leadership challenge faced.
Explain a conflict resolution experience.
Share a time adapting in a startup.
Discuss collaboration with cross-functional teams.