Senior Data Engineer (Sunnyvale, CA, On-Site)
Summary
Build and maintain scalable data pipelines and warehouses for a digital-health company, integrating medical-device telemetry and patient-monitoring data with cloud tools like Spark, Kafka, and Airflow.
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iHealth Labs
Senior Data Engineer (Sunnyvale, CA, On-Site)
(UTC-08:00) Pacific Time (US & Canada)
Full-time Employment
140k - 200k USD/year
over 1 year ago
iHealth Labs
Senior Data Engineer (Sunnyvale, CA, On-Site)
(UTC-08:00) Pacific Time (US & Canada)
Full-time Employment
140k - 200k USD/year
over 1 year ago
Overview
About the job
Founded in 2010, iHealth Labs is dedicated to empowering people to live healthier lives. The company is a leading provider of cloud-connected medical devices, personal health care devices, and home-based tests and is at the forefront of the digital health revolution.
In 2018, iHealth launched its Unified Care program to address the issue of managing chronic diseases. Unified Care specialists support patients at home between doctor’s appointments with remote patient monitoring (RPM) and chronic care management (CCM) to achieve better health outcomes.
In November 2021, iHealth's COVID-19 Antigen Rapid Test received Emergency Use Authorization from the U.S. Food and Drug Administration for over-the-counter sales. Since then, iHealth has become a key supplier of at-home COVID tests to the federal government, state governments, nonprofits, and individual consumers.
iHealth Labs is a leader in digital health solutions, with a mission to revolutionize the healthcare industry by making quality health management accessible and affordable for all.
Work Location: On-site in Sunnyvale, Santa Clara, CA, US.
LinkAltTitle
About The Company
iHealth Labs
US
51-200employees
Series B
Healthcare
Founded in 2010, iHealth Labs is dedicated to empowering people to live healthier lives. The company is a leading provider of cloud-connected medical devices, personal health care devices, and home-based tests and is at the forefront of the digital health revolution. In 2018, iHealth launched its Unified Care program to address the issue of managing chronic diseases. Unified Care specialists support patients at home between doctor’s appointments with remote patient monitoring (RPM) and chronic care management (CCM) to achieve better health outcomes. In November 2021, iHealth's COVID-19 Antigen Rapid Test received Emergency Use Authorization from the U.S. Food and Drug Administration for over-the-counter sales. Since then, iHealth has become a key supplier of at-home COVID tests to the federal government, state governments, nonprofits, and individual consumers. iHealth Labs is a leader in digital health solutions, with a mission to revolutionize the healthcare industry by making qual
Description
- Collaborate with cross-functional teams, including healthcare professionals, designers, and backend developers, to conceptualize and implement cost effective and highly performant data processing solutions
- Design, build, and maintain scalable data processing infrastructures such as data warehouses and data lakes.
- Develop and optimize ETL/ELT processes for data integration from multiple sources.
- Ensure data quality and implement data governance practices.
- Collaborate with cross-functional teams to understand data needs and deliver solutions
- Stay updated with the latest industry trends and advancements in big data technologies, particularly in healthcare applications, and proactively suggest improvements to enhance data processing processes and tools.
- Contribute to the overall architecture and design of healthcare monitoring applications, providing valuable input on data processing and data governance.
Requirements
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- 5+ years of experience in data engineering or building data platform technologies.
- Expertise in Data Warehouse, Data Lake technologies, ETL/ELT tools and processes.
- Experienced with open source big data processing technologies such as Airflow, Hive, Flink, Spark, Kafka, Storm, etc
- Knowledgeable with Data Science tools and frameworks.
- Proficiency in SQL and experience with programming languages like Python or Java.
- Experience with integrating applications and platforms with cloud technologies (i.e AWS and GCP)
- Ability to write clean, modular, and maintainable code, while following coding standards and best practices.
- Strong problem-solving skills and the ability to debug complex issues efficiently.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Experience with agile development methodologies, such as Scrum, is a plus.
- Prior experience in healthcare-related projects, particularly in monitoring solutions or electronic medical records (EMR), is highly desirable.
Benefits
- Medical, Dental, Vision, Life Insurance, and 401K
- Paid Time Off, Federal Holidays, and Leaves
- Annual Performance-Based Bonus
Interview process
AI interview
Code assessment
Technical assessment
On-site interview
Offer negotiation
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Information TechnologyIndustries
Software Development
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