- Страна
- США
- Зарплата
- 110 000 $ – 150 000 $
Откликайтесь
на вакансии с ИИ

Senior Data Engineer
Интересная позиция в социально значимой MedTech компании с современным стеком технологий. Четко прописанные обязанности и конкурентная вилка зарплаты делают вакансию привлекательной для опытных инженеров.
Сложность вакансии
Роль требует глубоких знаний современного стека данных (Dagster, Cube, Iceberg) и специфического опыта в финансовой отчетности (Revenue Cycle). Высокий уровень ответственности за архитектуру и наставничество повышает планку требований.
Анализ зарплаты
Предлагаемая зарплата ($110k - $150k) находится в пределах рыночной нормы для Senior Data Engineer в Калифорнии, хотя верхняя граница может быть ниже, чем в крупнейших технологических гигантах Кремниевой долины. Тем не менее, наличие бонусов дополняет компенсационный пакет.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Engineer position at Heartflow. With over five years of experience in building robust data architectures and a deep expertise in the AWS ecosystem, I am particularly drawn to your mission of revolutionizing precision heartcare through AI-driven diagnostics. My background in developing complex financial and Revenue Cycle pipelines aligns perfectly with your requirements for scaling HRIS and RCM data products.
In my previous roles, I have successfully implemented modern data stacks using Dagster for orchestration and Redshift for high-performance storage. I am highly proficient in Python and SQL, and I have extensive experience with semantic modeling in Cube to ensure data consistency across organizations. I am excited about the opportunity to act as a technical lead at Heartflow, mentoring junior engineers and driving engineering excellence while contributing to a product that saves lives worldwide.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в heartflowinc уже сейчас
Присоединяйтесь к Heartflow и создавайте инновационные решения для борьбы с сердечно-сосудистыми заболеваниями!
Описание вакансии
Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCTAnalysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCTAnalysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.
Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.
We are seeking a proactive, self-starting Senior Data Engineer to architect and scale our data infrastructure, with a specific focus on HRIS, Market Research and Revenue Cycle pipelines, reporting and governance. In this role, you will move beyond simple ETL to building robust, observable data products using Dagster and Cube while ensuring data governance practices and catalog management are consistently maintained. You will act as a technical lead, balancing high-level AWS infrastructure management (ECS, Redshift, Athena) with the mentorship of junior team members to foster a culture of engineering excellence
Job Responsibilities:
- Orchestration & Automation: Build and manage complex data pipelines utilizing the Dagster framework, leveraging AWS ECS for containerized task execution.
- Revenue Cycle Expertise: Design and maintain specialized pipelines and reports for Revenue Cycle Management, ensuring high accuracy for financial data processing.
- Semantic Layer & BI: Support the development of a unified semantic model in Cube (Cube.js) to provide consistent metrics across the organization.
- Modern Data Stack Management: Manage and optimize high-performance data storage and query layers using Iceberg, Amazon Redshift and Athena.
- Mentorship & Governance: Lead data governance initiatives and provide technical mentorship to junior engineers, ensuring adherence to Python and SQL best practices.
Skills Needed:
- Languages & Libraries: Expert proficiency in Python (specifically pyiceberg, boto3, polars, and pandas), SQL, DBT, and YAML.
- AWS Ecosystem: Deep hands-on experience with ECS (Fargate/EC2), Redshift (clustering and optimization), and Athena (serverless querying).
- Pipeline Concepts: Mastery of Dagster data pipeline concepts, including Software-Defined Assets and declarative orchestration.
- Modeling: Strong experience in Cube Dev semantic modeling and building reporting layers for complex financial workflows.
- Domain Knowledge: Proven track record in developing Revenue Cycle pipelines and financial reporting systems.
- Reporting Solution: Experience building and supporting Tableau datasets and reports.
Educational Requirements & Work Experience:
- Education: B.S. or M.S. in Computer Science, Data Engineering, or a related field.
- Experience: 5+ years of Data Engineering experience, with significant time spent in AWS environments and a strong background in RCM/Financial data.
- Leadership: Demonstrated ability as a self-starter with experience mentoring peers and leading technical projects.
A reasonable estimate of the base salary compensation range is $110,000 to $150,000 per year, and bonus. #LI-IB1
Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.
Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.
Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with “@heartflow.com” and B) the position described is found on our careers site at www.heartflow.com/about/careers/.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Python
- SQL
- AWS
- Dagster
- Cube
- dbt
- Amazon Redshift
- Amazon Athena
- Apache Iceberg
- Tableau
- Pandas
- Polars
- YAML
- Amazon ECS
Возможные вопросы на собеседовании
Проверка опыта работы с основным инструментом оркестрации, указанным в вакансии.
Расскажите о вашем опыте использования Dagster. Как вы реализовывали Software-Defined Assets для обеспечения наблюдаемости данных?
Вакансия требует навыков построения семантических слоев.
Как бы вы спроектировали семантическую модель в Cube для объединения данных из HRIS и финансовых систем?
Работа с медицинскими и финансовыми данными требует высокой точности.
Какие стратегии обеспечения качества и управления данными (Data Governance) вы считаете наиболее эффективными для Revenue Cycle Management?
Проверка навыков оптимизации в облачной среде AWS.
Опишите ваш подход к оптимизации производительности Amazon Redshift при работе с большими объемами данных Iceberg.
Оценка лидерских качеств и способности развивать команду.
Как вы подходите к менторству младших инженеров и внедрению стандартов написания кода (Python/SQL) в команде?
Похожие вакансии
Data аналитик Senior
Data аналитик (Senior)
Data Analyst
Data/Product Analyst (Middle / Senior)
Middle/Senior Data/Product Analyst
Power BI Developer (Senior)
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
- 110 000 $ – 150 000 $