Data Engineer

SonderMind is focused on improving our society's overall mental wellness by supporting independent behavioral health providers with solutions that allow them to focus on their clients. We provide a flexible offering for high-quality counseling rooms, back-office business services and a full-service software platform. This page is designed to connect professionals in the wellness industries together to network and create a larger community!

Senior technical leadership role on the Data Platform team responsible for designing, building, and evolving data systems that support analytics, experimentation, machine learning, and clinical outcomes; deliver reliable data infrastructure, set technical direction and best practices, ensure data quality/observability, meet privacy and compliance requirements for sensitive healthcare data, and mentor other engineers.

Senior Staff Data Engineer leading design and delivery of scalable, reliable data pipelines and platform capabilities to support analytics, ML, and clinical use cases in a regulated healthcare environment.

Sr. Staff Data Engineer

United States

Senior technical leadership role on the Data Platform team responsible for designing, building, and evolving data systems that support analytics, experimentation, machine learning, and clinical outcomes; deliver reliable data infrastructure, set technical direction and best practices, ensure data quality/observability, meet privacy and compliance requirements for sensitive healthcare data, and mentor other engineers.Requirements:<ul><li> 8+ years of experience in data engineering, platform engineering, or backend engineering roles.</li><li> Strong proficiency in SQL.</li><li> Proficiency in at least one general-purpose programming language (Python strongly preferred).</li><li> Hands-on experience building and maintaining production data pipelines at scale.</li><li> Experience working with modern data platforms, including cloud data warehouses, orchestration tools, and transformation frameworks.</li><li> Strong understanding of data modeling, pipeline reliability, and system design trade-offs.</li><li> Proven ability to work cross-functionally and translate business needs into effective technical solutions.</li><li> Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li><li> Familiarity with job-relevant AI platforms (e.g., Gemini, ChatGPT, Claude, GitHub Copilot) and expectation to leverage modern AI technologies.</li><li> Ability to ensure data systems meet privacy, security, and compliance requirements for sensitive mental health and healthcare data.</li></ul>Benefits:<ul><li> Anticipated salary range of $180,000 - $200,000</li><li> Generous PTO policy, with a minimum of three weeks off per year</li><li> Holiday schedule that follows standard U.S. holidays</li><li> Free therapy coverage benefits (must be enrolled in a qualifying medical plan to participate)</li><li> Competitive Medical coverage (including HSA with $1,100 company contribution) and FSA options</li><li> Dental coverage</li><li> Vision coverage</li><li> Employer-paid short-term disability</li><li> Employer-paid long-term disability</li><li> Life & AD&D insurance</li><li> Coverage of the salary difference for up to seven weeks of short-term disability leave (after required waiting period)</li><li> Eight weeks of paid Parental Leave (in addition to STD if applicable, allowing 8–16 weeks total)</li><li> 401(k) retirement plan with 100% match on up to 4% of base salary, immediately vested</li><li> Annual company gathering (join teammates from across the country)</li><li> Company shutdown between Christmas and New Year’s</li><li> Supplemental life insurance</li><li> Pet insurance</li><li> Commuter benefits</li></ul>

SonderMind

Sr. Staff Data Engineer Senior Staff Data Engineer leading design and delivery of scalable, reliable data pipelines and platform capabilities to support analytics, ML, and clinical use cases in a regulated healthcare environment. Senior technical leadership role on the Data Platform team responsible for designing, building, and evolving data systems that support analytics, experimentation, machine learning, and clinical outcomes; deliver reliable data infrastructure, set technical direction and best practices, ensure data quality/observability, meet privacy and compliance requirements for sensitive healthcare data, and mentor other engineers. Data Engineer Engineer SonderMind health-wellness-and-fitness aba-therapy acupuncture autism behavioral-health behavioral-therapy business-support counseling counselling fitness health health-care health-care-information-technology hospital information-technology marketplaces mental-health mental-health-care nutritional-services personal-wellness psychology psychotherapy services software therapy wellness SQL Python cloud data warehouses orchestration tools data transformation frameworks streaming/event-driven systems machine learning/experimentation workflows data governance/privacy/compliance tools AI platforms (Gemini, ChatGPT, Claude, GitHub Copilot) Denver Colorado

Lead technical efforts to design, build, and maintain core data pipelines and infrastructure supporting analytics, experimentation, and ML across the company. Ensure data quality, observability, compliance, and mentor other engineers while enabling teams to move faster with trusted data.

Machine Learning Engineer

Founded in 1896, Adelphi University was Long Island's first private coeducational institution of higher learning. Since 2007, Adelphi has been cited as a Best Buy by the Fiske Guide to Colleges, one of only a handful of private universities to make the list annually. As Adelphi has grown, our academic programs have evolved to reflect the needs and interests of our nearly 8,000 students-who hail from 40 states and 45 countries-to include an acclaimed Honors College; and programs in the arts, sciences, social work, nursing, public health, business, psychology and education. Adelphi's 75-acre main campus in historic Garden is conveniently located 23 miles away from Manhattan-the financial and cultural center of the Long Island and just a few miles from Long Island's sandy beaches.

About Adelphi: Adelphi's Vision is to build the biggest AI Deployment company for National Security, which requires talent that is extremely good at problem solving, gets excited about National Security challenges, and thrives in software factories. We're executing a Mission that (1) Identifies the core bottlenecks in Warfighting, Intelligence and the Enterprise, (2) Assigns top talent with backgrounds in systems and machine learning engineering, and (3) Finds repeatability in solution development to target similar offices across the DoW/IC. The business has 10x'd in under two years and has built trust with the senior most leaders at the Department of War and Intelligence Community. About the Role: The Machine Forward Deployed Learning Engineer position requires a mix of software development, LLM Ops, and SecDevOps practices, resulting in an exciting, fast-paced engineering role. This role requires the ability to contribute to solutions across the full LLM stack, from the OS, storage, and network up to the API and transport layer. Experience in the defense or intelligence fields is required. You will contribute to end-to-end delivery of agentic, full-stack systems built on top of frontier models, from first prototype to stable production, embedded alongside our defense and intelligence customers. Location: This role is based in the DC/Metro area; remote candidates will be considered with 25% travel expected. Clearance Requirement: An active U.S. Government clearance is strongly preferred, but we are open to clearance eligible candidates. Is this you? We are an AI-native engineering team. We expect every engineer to leverage LLMs and AI tooling as a core part of how they design, build, ship, and operate agentic systems that turn frontier-model capability into mission outcomes.

The Machine Learning Engineer role involves contributing to end-to-end delivery of agentic, full-stack systems built on top of frontier models for national security applications.

About Adelphi: Adelphi's Vision is to build the biggest AI Deployment company for National Security, which requires talent that is extremely good at problem solving, gets excited about National Security challenges, and thrives in software factories. We're executing a Mission that (1) Identifies the core bottlenecks in Warfighting, Intelligence and the Enterprise, (2) Assigns top talent with backgrounds in systems and machine learning engineering, and (3) Finds repeatability in solution development to target similar offices across the DoW/IC. The business has 10x'd in under two years and has built trust with the senior most leaders at the Department of War and Intelligence Community. About the Role: The Machine Forward Deployed Learning Engineer position requires a mix of software development, LLM Ops, and SecDevOps practices, resulting in an exciting, fast-paced engineering role. This role requires the ability to contribute to solutions across the full LLM stack, from the OS, storage, and network up to the API and transport layer. Experience in the defense or intelligence fields is required. You will contribute to end-to-end delivery of agentic, full-stack systems built on top of frontier models, from first prototype to stable production, embedded alongside our defense and intelligence customers. Location: This role is based in the DC/Metro area; remote candidates will be considered with 25% travel expected. Clearance Requirement: An active U.S. Government clearance is strongly preferred, but we are open to clearance eligible candidates. Is this you? We are an AI-native engineering team. We expect every engineer to leverage LLMs and AI tooling as a core part of how they design, build, ship, and operate agentic systems that turn frontier-model capability into mission outcomes.Requirements:<ul><li> Experience in the defense or intelligence fields is required.</li><li> You use AI coding tools (Claude Code, Cursor, Copilot) daily and instinctively.</li><li> You leverage LLMs across the development lifecycle, and stay current with emerging models and tooling.</li><li> You have working knowledge of modern agent frameworks and SDKs (LangGraph, OpenAI Agents SDK, Claude Agent SDK, AutoGen, or similar).</li><li> Familiarity with MCP or similar LLM integration frameworks.</li><li> You have a clear-eyed view of AI limitations. You know when to trust AI-generated output and when to verify.</li><li> Contribute to end-to-end delivery of agentic, full-stack systems from prototype to production, embedded alongside defense and intelligence customers.</li><li> Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration into production environments, including classified and air-gapped ones.</li><li> Work directly with customers to understand problems, support delivery sequencing, and ship AI applications under real-world constraints.</li><li> Help codify repeatable patterns into reusable tools and building blocks that help the team ship faster.</li></ul>Benefits:<ul><li> Healthcare coverage: 100% employee premium and 50% dependents premium coverage of a platinum-level plan.</li><li> 401K with 2% company match.</li><li> Equity in a seed-stage business.</li><li> Access to 6713 Club — a members-only club in McLean, VA.</li><li> $500 monthly Physical and Mental Health reimbursement program.</li><li> Unlimited time-off policy.</li><li> Competitive salary and equity compensation.</li><li> Opportunity to work on impactful projects in the national security sector.</li><li> Career growth and leadership opportunities in a dynamic, innovative environment.</li></ul>

Adelphi University

Machine Learning Engineer The Machine Learning Engineer role involves contributing to end-to-end delivery of agentic, full-stack systems built on top of frontier models for national security applications. About Adelphi: Adelphi's Vision is to build the biggest AI Deployment company for National Security, which requires talent that is extremely good at problem solving, gets excited about National Security challenges, and thrives in software factories. We're executing a Mission that (1) Identifies the core bottlenecks in Warfighting, Intelligence and the Enterprise, (2) Assigns top talent with backgrounds in systems and machine learning engineering, and (3) Finds repeatability in solution development to target similar offices across the DoW/IC. The business has 10x'd in under two years and has built trust with the senior most leaders at the Department of War and Intelligence Community. About the Role: The Machine Forward Deployed Learning Engineer position requires a mix of software development, LLM Ops, and SecDevOps practices, resulting in an exciting, fast-paced engineering role. This role requires the ability to contribute to solutions across the full LLM stack, from the OS, storage, and network up to the API and transport layer. Experience in the defense or intelligence fields is required. You will contribute to end-to-end delivery of agentic, full-stack systems built on top of frontier models, from first prototype to stable production, embedded alongside our defense and intelligence customers. Location: This role is based in the DC/Metro area; remote candidates will be considered with 25% travel expected. Clearance Requirement: An active U.S. Government clearance is strongly preferred, but we are open to clearance eligible candidates. Is this you? We are an AI-native engineering team. We expect every engineer to leverage LLMs and AI tooling as a core part of how they design, build, ship, and operate agentic systems that turn frontier-model capability into mission outcomes. Machine Learning Engineer Engineer Adelphi University higher-education professional-training-and-coaching research-services professional-organizations business fitness health health-care healthcare honors hospital humanities liberal-arts liberal-arts-sciences nursing psychology sciences social-work teacher-education wellness Washington D.C. Washington D.C.

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