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Senior Data Engineer; Sunnyvale, CA, On-Site

Remote / Online - Candidates ideally in
Markham, Ontario, I3P, Canada
Listing for: Brix
Full Time, Remote/Work from Home position
Listed on 2026-10-06
Job specializations:
  • IT/Tech
    Information Security & Data Protection, Data Analyst, Data Science Manager, Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 200000 CAD Yearly CAD 140000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Senior Data Engineer (Sunnyvale, CA, On-Site)

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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.

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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.
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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…
Position Requirements
10+ Years work experience
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