Senior Staff Data Engineer

🕒 September 18

⛰️ Colorado – Remote

⛰️ Colorado – Remote

💵 $180k - $200k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 3%

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SonderMind

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

⚖️ Legal

🏥 Healthcare

💰 $150M Series C on 2021-07

Consulting • Legal • Healthcare

SonderMind is a comprehensive mental health care provider offering therapy and psychiatry services online or in-person across the United States. They connect clients with therapists and psychiatric providers suited to their needs, with availability in 45 states. SonderMind offers flexible payment options, including insurance coverage and affordable self-pay rates. The platform focuses on personalized, results-based care, helping clients see significant improvements in just a few sessions. With a mission to make mental health care accessible and effective, SonderMind supports various mental health needs, including anxiety, depression, and support for veterans.

📋 Description

• Design, build, and maintain core data pipelines and infrastructure for analytics, experimentation, machine learning, AI fine-tuning, and agentic use cases • Own data architecture decisions for ingestion, transformation, storage, and serving layers • Establish and enforce data quality, observability, reliability, SLA, monitoring, alerting, and incident response standards • Partner with analytics, data science, and product engineering teams to translate data needs into reusable models and pipelines • Lead technical initiatives and data engineering best practices, including code quality, testing, documentation, and data contracts • Ensure compliance with privacy, security, and regulatory requirements for sensitive mental health and healthcare data • Mentor and support data engineers through technical guidance and design feedback • Support evolving platform needs and ad-hoc projects • Take ownership of critical pipelines or platform components and improve reliability and clarity • Influence platform direction and raise engineering standards across the data organization

🎯 Requirements

• 8+ years of experience in data engineering, platform engineering, or backend engineering roles • Strong proficiency in SQL • At least one general-purpose programming language; Python strongly preferred • Hands-on experience building and maintaining production data pipelines at scale • Experience 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 • Familiarity with modern AI productivity tools such as Gemini, ChatGPT, Claude, or GitHub Copilot is expected and considered essential

🏖️ 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 for employees enrolled in a qualifying medical plan • Competitive Medical, Dental, and Vision coverage • HSA with $1,100 company contribution and FSA options • Employer-paid short-term disability, long-term disability, life & AD&D • Coverage of the salary difference for up to seven weeks of short-term disability leave • Eight weeks of paid Parental Leave; 8–16 weeks if also eligible for STD • 401(k) retirement plan with 100% match on up to 4% of base salary, immediately vested • Annual company gathering • Company shutdown between Christmas and New Year’s • Supplemental life insurance, pet insurance, commuter benefits, and more

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