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Senior Data & Insights Engineer, New Venture
Высокая оценка обусловлена сильной миссией компании, конкурентной зарплатой, отличным пакетом льгот и возможностью напрямую влиять на продукт в быстрорастущем 'единороге'. Роль предлагает широкую автономию и работу с современным стеком технологий.
Сложность вакансии
Роль требует высокого уровня автономности и владения полным циклом работы с данными: от ETL-процессов до построения дашбордов. Необходим опыт работы с современным стеком (Snowflake, Python, dbt) и умение работать в быстро меняющейся среде стартапа.
Анализ зарплаты
Предлагаемый диапазон ($159k - $196k) полностью соответствует рыночным стандартам для Senior Data Engineer в Нью-Йорке, где медиана составляет около $175k. Верхняя граница диапазона даже несколько превышает средние показатели для компаний аналогичного уровня.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data & Insights Engineer position at Spring Health. With over five years of experience in data engineering and a proven track record of building end-to-end data layers, I am excited by the opportunity to join a mission-driven company that is revolutionizing mental healthcare through Precision Mental Healthcare. My background in optimizing Snowflake environments and building robust ETL pipelines from Postgres aligns perfectly with your need for a high-autonomy engineer to own the New Venture data stack.
In my previous roles, I have specialized in bridging the gap between raw backend data and actionable product insights. I have extensive experience using tools like dbt and Airflow to ensure data integrity, as well as leveraging product analytics platforms like Mixpanel to drive decision-making. I am particularly drawn to this role's hybrid nature in NYC and the chance to transition 'scrappy' workflows into scalable, enterprise-grade systems that support Spring Health’s rapid growth and $3.3 billion valuation.
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Откликнитесь в springhealth66 уже сейчас
Присоединяйтесь к Spring Health, чтобы строить будущее ментального здоровья с использованием передовых данных в Нью-Йорке!
Описание вакансии
Our mission: to eliminate every barrier to mental health.
At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology,Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs.
We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers.
We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.
Reporting to the Head of Engineering, New Venture, and partnering closely with engineering, product, and clinical teams, the Senior Data & Insights Engineer will own the end-to-end data layer, from pipelines and data models to analytics and dashboards, ensuring data is reliable, accessible, and drives decision-making across the business.
This is not a narrow pipeline-focused role, but a high-impact, high-autonomy position where you will be the go-to partner for answering critical business and product questions, ensuring data integrity, and continuously improving how data flows across systems. You will work across backend systems (Postgres), our data warehouse (Snowflake), and analytics tools (e.g., Mixpanel) to unify fragmented data into a reliable and actionable source of truth. In this early-stage environment, you will have the opportunity to define both the data architecture and how data is used day-to-day, with full ownership of the data layer and direct impact on product, clinical, and business decisions.
Please note that this is a hybrid role based in New York City, with an expectation to be in the office 2–3 days per week at our 60 Madison Avenue location. Candidates must be based in the NYC metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites.
What you’ll be doing:
- Build and maintain data pipelines that move data from application databases (e.g., Postgres) into Snowflake.
- Design, extend, and optimize data models across backend systems and the data warehouse.
- Ensure data reliability, integrity, and timeliness across all systems and reporting layers.
- Translate ambiguous business and product questions into clear analyses, dashboards, and SQL queries.
- Develop dashboards and self-serve analytics tools for product, clinical, and operations teams.
- Identify and resolve data discrepancies across systems (e.g., backend, warehouse, analytics tools).
- Integrate and reconcile multiple data sources into a consistent and trusted source of truth.
- Partner cross-functionally to define metrics, improve data accessibility, and drive data-informed decisions.
- Evaluate and implement tools for data orchestration, transformation, and scaling the data platform.
- Continuously improve data architecture to support a transition from scrappy workflows to scalable systems.
What success looks like in this role:
- The team trusts data and uses it daily for decision-making
- Key metrics are clearly defined, consistent, and easy to access
- Data discrepancies are proactively identified and resolved
- New data questions can be answered quickly without reinventing pipelines
- Dashboards and reporting tools are widely adopted and reduce reliance on ad hoc requests.
What we expect from you:
- 5+ years of experience in data engineering, analytics engineering, or similar roles
- Strong SQL skills (Snowflake or similar data warehouse experience required)
- Experience working with backend systems (Python, Postgres or similar)
- Proven ability to build and maintain data pipelines (ELT/ETL)
- Experience working with product analytics tools (e.g., Mixpanel, Amplitude)
- Strong intuition for data quality and debugging inconsistencies across systems
- Ability to turn ambiguous questions into structured analysis and insights
- Comfortable operating in a high-autonomy, fast-moving environment
Nice to Have
- Experience with tools like dbt, Airflow, Dagster, or similar
- Experience designing event tracking systems
- Exposure to healthcare or regulated data environments
- Experience building a data stack from early stage to scale
The target base salary range for this position is $159,100 - $196,480, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Databaseat minimum to ensure competitive and fair pay.
Benefits provided by Spring Health:
Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.
- Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medicalaccounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
- Employer sponsored 401(k) match of up to 2% for retirement planning
- A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
- We offer competitive paid time off policies including vacation, sick leave and company holidays.
- At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
- Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals.
- Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
- Access toWellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
- Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
- Up to $1,000 Professional Development Reimbursement a year.
- $200 per year donation matching to support your favorite causes.
Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.
Ready to do the most impactful work of your life? Learn more about our values, what it’s like to work here, and how hypergrowth meets impact at Spring Health:Our Values
*Our privacy policy:*https://springhealth.com/privacy-policy/
Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.
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Навыки
- SQL
- Snowflake
- Python
- PostgreSQL
- ETL
- ELT
- Mixpanel
- Amplitude
- dbt
- Airflow
- Dagster
- Data Modeling
- Data Architecture
Возможные вопросы на собеседовании
Проверка опыта работы с основным хранилищем данных, указанным в вакансии.
Расскажите о вашем опыте оптимизации производительности и стоимости запросов в Snowflake.
Вакансия предполагает переход от 'быстрых' решений к масштабируемым системам.
Как бы вы спроектировали архитектуру данных для нового продукта, чтобы она оставалась гибкой, но при этом надежной при росте нагрузки?
Роль требует тесного взаимодействия с продуктовыми и клиническими командами.
Опишите случай, когда вам пришлось переводить неоднозначный бизнес-запрос в конкретную техническую реализацию или метрику.
Упоминание Mixpanel и Amplitude в требованиях указывает на важность продуктовых данных.
Как вы обеспечиваете согласованность данных между операционной базой данных (Postgres) и инструментами продуктовой аналитики?
Работа в сфере здравоохранения накладывает ограничения на безопасность данных.
Есть ли у вас опыт работы с регулируемыми данными (например, HIPAA) и как это влияло на ваши инженерные решения?
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- Страна
- США
- Зарплата
- 159 100 $ – 196 480 $