Senior Data Platform Engineer — AI/ML & Analytics Lead

SonderMind Inc.

Salt Lake City (UT)

On-site

USD 180,000 - 200,000

Full time

7 days ago
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Benefits offered by this job

Generous PTO
Holiday schedule
Free therapy coverage
Medical, Dental & Vision with HSA/FSA
Disability & life insurance
Parental leave
401(k) match
Company gathering
Commuter benefits

Job summary

SonderMind Inc. is hiring a Senior Staff Data Engineer to lead data platform initiatives that power analytics, ML, and clinical outcomes.

You will own data pipelines, governance, and scalable architecture in a regulated healthcare environment, collaborating with analytics, data science, and product teams. The role emphasizes ownership, mentorship, and building trusted data assets while ensuring privacy and security.

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.

Responsibilities

  • Design, build, and maintain core data pipelines and infrastructure powering analytics, experimentation, ML and AI initiatives across product, clinical, and operations teams.
  • Own data architecture decisions related to ingestion, transformation, storage, and serving layers with focus on scalability, reliability, cost efficiency, and maintainability.
  • Establish and enforce data quality, observability, and reliability standards, including SLAs, monitoring, alerting, and incident response for critical datasets.
  • Partner with analytics, data science, and product engineering teams to translate data needs 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 health data.
  • Mentor and support other data engineers, providing technical guidance and raising the engineering bar.
  • Support other responsibilities and ad‑hoc projects as needed.

Skills

SQL
Python
Production pipelines
Cloud data warehouses
Orchestration
Data modeling
System design
Cross-functional collaboration

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

dbt
Airflow
Spark

Job description

SonderMind Inc. is hiring a Senior Staff Data Engineer to lead data platform initiatives that power analytics, ML, and clinical outcomes.

You will own data pipelines, governance, and scalable architecture in a regulated healthcare environment, collaborating with analytics, data science, and product teams. The role emphasizes ownership, mentorship, and building trusted data assets while ensuring privacy and security.

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