- Страна
- США
- Зарплата
- 142 600 $ – 176 000 $
Откликайтесь
на вакансии с ИИ

Sr. Data Engineer
Отличная вакансия с прозрачной системой оплаты, удаленным форматом и социально значимой миссией. Высокий балл за детальное описание стека и фокус на современных технологиях (AI/ML).
Сложность вакансии
Высокая сложность обусловлена необходимостью глубоких знаний не только в Data Engineering (dbt, Airflow, Redshift), но и в ML-инфраструктуре, а также опытом работы в регулируемых отраслях (Healthcare).
Анализ зарплаты
Предлагаемая зарплата ($142k - $176k) полностью соответствует рыночным ожиданиям для Senior Data Engineer в США, особенно учитывая региональные коэффициенты (Geo 1-3).
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Engineer position at Octave. With over five years of experience in building scalable data platforms and a deep proficiency in Python, SQL, and modern orchestration tools like Airflow and dbt, I am excited by the opportunity to contribute to your mission of making high-quality behavioral healthcare more accessible. My background in designing end-to-end data pipelines and my familiarity with ML frameworks align perfectly with Octave's goals of evolving its AI/ML infrastructure.
In my previous roles, I have focused on creating reliable data systems that prioritize observability and automation, much like the foundational work described in your job posting. I am particularly drawn to Octave’s commitment to ethical AI and the challenge of integrating complex healthcare data into production-ready machine learning systems. I am a systems thinker who enjoys both high-level architecture and hands-on building, and I am eager to bring my expertise in CI/CD and cloud data platforms to your collaborative engineering team.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в octave уже сейчас
Присоединяйтесь к Octave, чтобы строить этичную AI-платформу и менять стандарты ментального здоровья в США!
Описание вакансии
About the Company:
Octave is a modern behavioral health practice creating a new standard for care delivery that’s both high-quality and accessible. With in-person and virtual clinics in multiple states, the company offers evidence-based individual, couples, and family therapy, while pioneering relationships with payers to make care more affordable through insurance. By raising the bar on how care is delivered and how providers are supported, we are building a sustainable system that values equity, affordability, and effectiveness.
About the Role:
We’re looking for a Sr. Data Engineer with strong data platform experience to help evolve our modern data stack and contribute to the foundation of our emerging AI and ML platform. This role sits at the intersection of data engineering, platform architecture and machine learning enablement and will bring high-quality, scalable, and ethical AI into real-world use. You will partner closely with data scientists, analysts, and product managers to ensure our platform supports reliable data pipelines, scalable analytics, and production ready machine learning systems in addition to defining new architecture, best practices, and patterns for fellow engineers to inherit. The ideal candidate is both a systems thinker and a hands-on builder who thrives in evolving environments and is passionate about creating reliable data infrastructure that enables peers and partner teams to move faster with data.
Responsibilities Include:
- Design, build, and maintain scalable systems for ingestion, transformation, and storage of data, with a focus on testing and observability.
- Implement frameworks, tooling, and automation to safely increase development velocity.
- Develop foundational end-to-end AI/ML workflows from (1) source ingestion and preparation, (2) training and tuning, (3) experimentation and productionization, and (4) downstream systems integration (EHR modules, micro-services, dashboards).
- Support iterative model development and production operations and observability (accuracy, drift, bias, fairness, reproducibility).
- Contribute to a culture of continuous improvement, knowledge-sharing and mentoring of peer engineers.
Preferred Qualifications:
- Bachelor’s degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field.
- 5+ years of experience in data engineering, platform engineering, or ML engineering.
- Experience working with major cloud data platforms and tools:
- Preferred experience:
+ Healthcare, behavioral health, EHR systems, and/or regulated industries.
+ Specific expertise with: AWS/GCP, dbt, AirflowAirbyte, Redshift/BigQuery.
- Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling.
- Proficiency with data ops best practices, monitoring, pipeline automation, and CI/CD.
- Knowledge of modern compute and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit-learn).
- Ability to build production APIs and services, inclusive of MCP servers that expose internal data/services to LLMs.
- A collaborative mindset, dependable execution, drive to reflect and improve, and humility to ask questions and learn.
Octave's Company Values:
The below values drive our day-to-day operations.
- We’re human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves.
- People deserve better than status quo. We’re willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen.
- No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better.
- Partnership paves the path ahead. We don’t operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger.
- Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow.
- Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them.
- There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.
Physical Requirements:
- Prolonged periods sitting at a desk and working on a computer.
- Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet.
- Must be able to observe and communicate information on company provided laptop.
- Move up to 10 pounds on occasion.
- Must be eligible to work in the United States without sponsorship now or in the future.
Compensation:
Octave is committed to pay equity. To maintain our commitment to pay equity, Octave will follow Pay Transparency regulations on allopen job postings. Current Pay Transparency laws require companies to include a position's salary or hourly wage range (not including bonuses or equity-based compensation) in any internal or external job posting. This requirement extends to job postings published by a third party at an employer's request.
Octave will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Octave’s legal duty to furnish information.
Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future.
The salary range for Geo 1 (all states, excluding those in Geo 2 or Geo 3, and D.C.) is $142,600 - $153,100.
The salary range for Geo 2 (CO, HI, MD, RI) is $156,900 - $168,400.
The salary range for Geo 3 (AK, CA, CT, MA, NJ, NY, WA) is $164,000 - $176,000.
All Geos are eligible for equity in the form of stock options.
Additionally, this position is eligible for the following benefits: company sponsored life insurance, disability and AD&D plans. Voluntary benefits such as 401k retirement, medical, dental, vision, FSA, HSA, dependent care and commuter/parking options are also available. Octave offers generous Paid Time Off as well as paid parental leave benefits.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
How We Use Technology in Hiring:
As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Application Instructions:
Please complete the following application. Please note that the U.S. Equal Opportunity Employment Information questions below are used for the purposes of EEOC reporting and are optional to complete. Octave is unable to change these questions and we acknowledge that many of the U.S. Equal Opportunity Employment Information questions are not inclusive or affirming of all aspects of cultural identity. Octave is committed to an inclusive workplace environment, and this information will not inform how we approach hiring or employment.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Python
- SQL
- AWS
- GCP
- dbt
- Airflow
- Airbyte
- Redshift
- BigQuery
- Spark
- TensorFlow
- PyTorch
- Scikit-learn
- CI/CD
- API
Возможные вопросы на собеседовании
Проверка опыта работы с основным стеком компании и понимания архитектуры хранилищ.
Опишите ваш опыт проектирования и оптимизации пайплайнов в Redshift или BigQuery с использованием dbt. С какими проблемами производительности вы сталкивались?
Роль предполагает создание фундамента для AI/ML. Важно понять, как кандидат видит жизненный цикл модели.
Как бы вы спроектировали систему мониторинга для обнаружения дрейфа данных (data drift) в реальном времени для ML-моделей в продакшене?
Работа с медицинскими данными требует особого внимания к безопасности и качеству.
Какой у вас опыт работы с чувствительными данными (например, HIPAA) и как вы обеспечиваете соблюдение стандартов безопасности в процессах ETL?
Вакансия требует навыков создания API для LLM.
Расскажите о вашем опыте разработки API или сервисов (например, MCP серверов) для интеграции внутренних данных с большими языковыми моделями.
Оценка навыков автоматизации и культуры разработки.
Как вы организуете процессы CI/CD для инфраструктуры данных, чтобы обеспечить безопасное и быстрое развертывание изменений?
Похожие вакансии
Data аналитик (Senior)
Data Analyst
Data/Product Analyst (Middle / Senior)
Старший инженер данных
Senior Data Analyst
Senior Data Engineer II
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- США
- Зарплата
- 142 600 $ – 176 000 $