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Sr. Staff Data Engineer

Work from home

Remote role where the employee must remain based in a particular country.

United States only

From the listing details: Residency required in United States

Employer listed it 12 days ago · Added 10 days ago

First listed 12 days ago and still open.

Salary

$180,000 to $200,000

Location

United States only

Timezone

Not stated

Contract

Full-time

Experience

Lead

Category

Data

Stated by the employer in the job description

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
Not mentioned in the advert
Where you can work from
Location eligibility not confirmed
Contract
Not mentioned in the advert
Experience asked for
8+ years of experience in data engineering, platform engineering, or backend engineering roles.
Pay
The anticipated salary range for this role is $180,000 - $200,000 .

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "Denver, CO, Dallas, Salt Lake City, Georgia, Raleigh, Columbus, Seattle, Trenton, Boston, Portland, Philadelphia, Austin, New York City, Tampa, Remote"

What Nomaders makes of it

  • Residency required in United States
  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a requirement

  • “Familiarity with job-relevant AI platforms such as Gemini, ChatGPT, Claude, GitHub Copilot or other industry-standard AI productivity tools is expected and considered essential for success at this company.”
  • “A generous PTO policy, with a minimum of three weeks off per year”

Written as a nice-to-have

  • “Strong proficiency in SQL and at least one general-purpose programming language (Python strongly preferred).”

Questions worth asking: Nomaders interpretation

  • The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

About SonderMind

At SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises. Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android. To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on  Instagram , Linkedin , and Twitter .

Additionally, we expect all team members to effectively leverage modern AI technologies as part of their everyday workflow, and to continuously adapt as new tools emerge. Familiarity with job-relevant AI platforms such as Gemini, ChatGPT, Claude, GitHub Copilot or other industry-standard AI productivity tools is expected and considered essential for success at this company.

About the Role

We are hiring a Senior Staff Data Engineer to play a senior technical leadership role on SonderMind’s Data Platform team. This role focuses on designing, building, and evolving the data systems that support analytics, experimentation, machine learning, and clinical outcomes across the business.

As a Senior Staff Data Engineer you will operate with a high degree of ownership and autonomy. You will be responsible not only for delivering reliable data infrastructure, but also for shaping technical direction, establishing best practices, and enabling other teams to move faster with high-quality, trusted data; while operating within the constraints of a regulated healthcare environment.

What you’ll do

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.

What does success look like?

First 3–6 Months:

Develop a strong understanding of SonderMind’s data landscape, key business use cases, and regulatory constraints.

Take ownership of critical pipelines or platform components and begin making meaningful improvements to reliability and clarity.

Build trust with analytics, data science, and engineering partners through consistent delivery and thoughtful technical decisions.

Continued Success in the Role

Data pipelines are reliable, observable, and well understood, with fewer surprises and faster issue resolution.

Teams across the company are able to move faster because data is accessible, well modeled, and trusted.

Technical decisions scale well over time and reduce long-term maintenance and operational burden.

Requirements

  • ·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.

Benefits

  • ·The anticipated salary range for this role is $180,000 - $200,000 . Final compensation will be determined based on a variety of factors, including relevant experience, skills, education, and past performance.
  • ·Our benefits include:
  • ·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)

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at SonderMind, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 11d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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