Staff Data Engineer - AI (Remote)
Job Description
Path is seeking a Staff Data Engineer - AI to lead the development of data infrastructure powering AI-driven experiences in mental healthcare. This remote position focuses on building and maintaining scalable data pipelines that feed machine learning models, ensuring high-quality, reproducible datasets. The role combines technical expertise in data engineering with a mission-driven focus on improving mental health support accessibility.
The position requires extensive experience (8+ years) in data pipeline development and AI/ML workflows, with proficiency in tools like Spark, Python, SQL, and modern data stack technologies. The ideal candidate will have strong knowledge of cloud infrastructure (primarily AWS) and experience with data security in regulated environments (HIPAA, SOC2).
Key responsibilities include designing ETL/ELT pipelines, managing large-scale datasets, implementing data validation and quality checks, and ensuring compliance with healthcare regulations. The role offers competitive compensation ($184,100 – $216,600 with equity) and comprehensive benefits including full health coverage, 401(k), and generous PTO.
This is an excellent opportunity for a seasoned data engineer passionate about leveraging technology to improve mental healthcare outcomes. The position combines technical challenges of large-scale data infrastructure with the meaningful impact of making mental health support more accessible and effective. Working in a fast-paced startup environment, you'll collaborate with cross-functional teams to drive innovations in AI-powered healthcare solutions.
Responsibilities For Staff Data Engineer - AI (Remote)
- Design, build, and maintain scalable ETL/ELT pipelines for ML/AI training workflows
- Optimize and manage large-scale structured and unstructured datasets in Data Lakes and warehouses
- Implement data validation, quality checks, error-handling, and bias detection
- Develop and enforce data governance practices
- Collaborate with data scientists, ML engineers, and operational teams
- Optimize data pipelines and queries for performance
- Ensure data security and compliance
- Contribute to CI/CD pipelines and infrastructure-as-code practices
Requirements For Staff Data Engineer - AI (Remote)
- 8+ years of experience in data pipeline development, analytics, or data engineering with AI/ML focus
- Proficiency in Spark, Python, SQL, and modern data stack tools
- Experience designing, building, and maintaining scalable ETL/ELT pipelines
- Strong knowledge of cloud infrastructure, primarily AWS
- Hands-on experience with data validation, bias detection, and lineage tracking
- Understanding of data security and compliance standards
- Strong collaboration and communication skills
- Adaptable to fast-paced, mission-driven startup environments
Benefits For Staff Data Engineer - AI (Remote)
- Competitive salary range: $184,100 – $216,600 with equity options
- 100% remote work (U.S.-based)
- Comprehensive health coverage: medical, dental, vision, life, disability, and FSA/HSA
- 401(k) plan access
- Generous paid time-off policies, including 2 company-wide shutdown weeks
- Paid parental leave for all parents
- Employee Assistance Program (EAP) for mental and physical health support
- New hire home office stipend
- Quarterly department stipend for team-building or gatherings
- Wellness events, lunch & learns, and community/employee resource groups
Related Jobs
