Note: The job is a remote job and is open to candidates in USA. SonderMind is a mental health technology company combining digital tools and human connection to support personalized behavioral healthcare. The company is seeking a Senior Staff Data Engineer to lead the design and evolution of data systems supporting analytics, experimentation, machine learning, AI, and clinical outcomes. The role includes owning data architecture, establishing reliability and quality standards, ensuring compliance in a regulated healthcare environment, and mentoring data engineers.
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
- • 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
- • Experience in healthcare, mental health, or other regulated environments
- • Familiarity with streaming or event-driven data systems
- • Experience supporting machine learning or experimentation workflows
- • Exposure to data governance, privacy, or compliance frameworks
Benefits
- A generous PTO policy, with a minimum of three weeks off per year
- A holiday schedule that follows standard U.S. holidays
- Free therapy coverage benefits to ensure employees have access to the care they need (must be enrolled in a qualifying medical plan to participate)
- Competitive Medical, Dental, and Vision coverage, with plans to meet every need — including HSA (with $1,100 company contribution) and FSA options
- Employer-paid short-term disability, long-term disability, life & AD&D, plus coverage of the salary difference for up to seven weeks of short-term disability leave (after the required waiting period)
- Eight weeks of paid Parental Leave; if the parent also qualifies for STD, this benefit is in addition, allowing for 8–16 weeks of paid leave
- 401(k) retirement plan with 100% match on up to 4% of base salary, immediately vested
- Join teammates from across the country at our annual company gathering
- Company shutdown between Christmas and New Year’s
- Supplemental life insurance, pet insurance, commuter benefits, and more
Company Overview
Company H1B Sponsorship