Engineering Manager - Data Platform

Brix; Central Ontario; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading technology firm is seeking an Engineering Manager to oversee large-scale data projects and lead a team of data engineers. The ideal candidate will have at least 6 years of experience in data engineering and a proven track record in managing successful data initiatives. Responsibilities include mentoring team members, optimizing data processes, and promoting innovation in data technologies. A Bachelor's or Master's degree in Computer Science or Engineering is required. This position is based in Central Ontario, Canada.

Qualifications

• Minimum of 6 years of experience in data engineering.
• At least 1 year in a leadership role.
• Experience in delivering large-scale data projects.

Responsibilities

• Oversee the delivery of large-scale data projects, ensuring completion within scope and budget.
• Manage a team of data engineers, providing mentorship and support to drive professional growth.
• Spearhead the adoption of modern data technologies, achieving a 99% project success rate.
• Ensure data processes are optimized, aiming for a data throughput increase of 20% year-over-year.
• Maintain strict adherence to HIPAA and other regulations, with zero compliance breaches.
• Encourage a culture of innovation, resulting in at least 2 new patented data solutions annually.
• Utilize cloud computing services to enhance data capabilities, reducing operational costs by 15%.

Skills

Leadership

Communication

Project Management

Data Engineering

Big Data Technologies

ETL

Python

SQL

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Tools

Apache Spark

Delta Lake/Iceberg

Snowflake

AWS

Azure

GCP

Job description

Engineering Manager - Data Platform (Sunnyvale, CA, On-Site)

Location: On-site in Sunnyvale, Santa Clara, CA, US.

Overview

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.

Responsibilities

• Data Project Management: Oversee the delivery of large-scale data projects, ensuring completion within scope and budget.
• Team Leadership: Manage a team of data engineers, providing mentorship and support to drive professional growth.
• Technology Implementation: Spearhead the adoption of modern data technologies, achieving a 99% project success rate.
• Performance Optimization: Ensure data processes are optimized, aiming for a data throughput increase of 20% year-over-year.
• Compliance Adherence: Maintain strict adherence to HIPAA and other regulations, with zero compliance breaches.
• Innovation Promotion: Encourage a culture of innovation, resulting in at least 2 new patented data solutions annually.
• Cloud Services Management: Utilize cloud computing services to enhance data capabilities, reducing operational costs by 15%.

Qualifications

• Education background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: Minimum of 6 years of experience in data engineering.,At least 1 year in a leadership role.,Experience in delivering large-scale data projects.
• Technical skills: Expertise in Big Data, data storage, ETL, data warehousing, data lakes.,Proficiency in Apache Spark, Delta Lake/Iceberg, Snowflake, etc.,Proficiency in Python, SQL.,Experience with AWS, Azure, GCP.
• Soft skills: Excellent leadership and communication skills.,Strong project management abilities.