Senior Data Platform Engineer — Analytics & ML

SonderMind Inc.; Seattle (WA); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

PTO 3 weeks

Holiday schedule US holidays

Free therapy coverage

Medical, Dental, Vision with HSA

401(k) match

Parental Leave 8–16 weeks

Company gathering

Job summary

SonderMind is seeking a Senior Staff Data Engineer to lead the design, building, and evolution of data systems powering analytics, experimentation, and AI initiatives. You will own data pipelines, architecture decisions, and data quality within a regulated healthcare environment.

The role emphasizes collaboration with analytics, data science, product engineering, and clinical teams, while mentoring peers and driving best practices across the data platform.

Qualifications

• 8+ years of experience in data engineering, platform engineering, or backend engineering roles.
• Strong proficiency in SQL and at least one general‑purpose programming language (Python strongly preferred).
• Hands‑on experience building and maintaining production data pipelines at scale.
• Experience working with modern data platforms, including cloud data warehouses, orchestration tools, and transformation frameworks.
• Strong understanding of data modeling, pipeline reliability, and system design trade‑offs.
• Proven ability to work cross‑functionally and translate business needs into effective technical solutions.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Responsibilities

• Design, build, and maintain core data pipelines and infrastructure that power analytics, experimentation, machine learning and AI fine tuning and agentic use cases across product, clinical, and operations teams.
• Own data architecture decisions related to ingestion, transformation, storage, and serving layers, with a focus on scalability, reliability, cost efficiency, and maintainability.
• Establish and enforce data quality, observability, and reliability standards, including SLAs, monitoring, alerting, and incident response practices for critical datasets.
• Partner closely with analytics, data science, and product engineering teams to understand data needs and translate them into well‑designed, reusable data models and pipelines.
• Lead technical initiatives and drive best practices across the data engineering team, including code quality, testing, documentation, and data contracts.
• Ensure data systems meet privacy, security, and compliance requirements, with a strong understanding of handling sensitive mental health and healthcare data.
• Mentor and support other data engineers, providing technical guidance, design feedback, and helping raise the overall engineering bar.
• Support other responsibilities and ad‑hoc projects as needed based on evolving business and platform needs.

Skills

SQL

Python

Data pipelines

Data modeling

Cross-functional collaboration

Backend engineering

Data platforms

Education

Bachelor’s degree in CS/Engineering or equivalent

Tools

Cloud data warehouses

Orchestration tools

Transformation frameworks

Job description

SonderMind is seeking a Senior Staff Data Engineer to lead the design, building, and evolution of data systems powering analytics, experimentation, and AI initiatives. You will own data pipelines, architecture decisions, and data quality within a regulated healthcare environment.

The role emphasizes collaboration with analytics, data science, product engineering, and clinical teams, while mentoring peers and driving best practices across the data platform.