Senior Data Platform Engineer: Scale Analytics & ML

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

Benefits offered by this job

PTO and holidays

Therapy coverage

Medical, Dental, Vision

401(k) match

Parental leave

Annual company gathering

Disability coverage

Job summary

SonderMind is hiring a Senior Staff Data Engineer to lead data platform design, build, and evolution for analytics, ML, and clinical outcomes. You’ll own data architecture, ensure quality and security, and coach a growing team within a regulated healthcare environment.

You will collaborate with analytics, data science, and product engineering to deliver scalable data models, pipelines, and best practices that empower cross‑functional teams while maintaining privacy and security standards.

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

Data engineering

SQL

Python

Data pipelines

Cloud platforms

Cross-functional

Education

Bachelor's degree

Tools

Airflow

dbt

Cloud data warehouses

Job description

SonderMind is hiring a Senior Staff Data Engineer to lead data platform design, build, and evolution for analytics, ML, and clinical outcomes. You’ll own data architecture, ensure quality and security, and coach a growing team within a regulated healthcare environment.

You will collaborate with analytics, data science, and product engineering to deliver scalable data models, pipelines, and best practices that empower cross‑functional teams while maintaining privacy and security standards.