Senior Data Engineer

IQVIA; Remote; CAD 85,000 - 100,000; Full time

Job summary

A leading healthcare data analytics company in Montreal is seeking a Senior Data Engineer. This role involves designing and optimizing data pipelines for analytics while mentoring junior staff. Candidates should have a Bachelor's degree in Computer Science or related field, along with over 5 years of experience in data engineering. Strong proficiency in Python and SQL, along with hands-on experience in cloud platforms, is required. The position offers remote flexibility and career growth opportunities.

Benefits

Flexible remote work

Growth opportunities

Qualifications

• 5+ years of experience in data engineering including at least 2–3 years in a senior-level role.
• Hands-on experience with cloud platforms; Google Cloud and AWS preferred.
• Ability to communicate complex technical concepts clearly.

Responsibilities

• Design, develop, and optimize data pipelines for large-scale analytics.
• Collaborate with global engineering pods to maintain coding standards.
• Mentor and guide junior engineers and contractors.

Skills

Proficiency in Python

SQL

Cloud platforms (Google Cloud, AWS)

Data warehousing concepts

Communication of technical concepts

Education

Bachelor’s degree in Computer Science or related field

Tools

BigQuery

Snowflake

Job description

Imagine shaping the future of healthcare through data. At IQVIA, we harness the power of advanced analytics and cutting‑edge technology to improve patient outcomes worldwide. As a Senior Data Engineer, you’ll lead the design of scalable data solutions, mentor talented engineers, and work on projects that truly make an impact. Join a global team that values innovation, collaboration, and your growth—while giving you the flexibility to work remotely and the tools to thrive.

Job Overview

As a Senior Data Engineer, you will play a key role in building and optimizing data pipelines that power IQVIA’s forecasting and analytics platforms. You’ll work across a global engineering organization, collaborating with product managers, front‑end and back‑end developers, and fellow data engineers. This role combines hands‑on coding with leadership responsibilities, ensuring adherence to architectural standards and coaching junior team members.

Essential Functions

• Design, develop, and optimize data pipelines and workflows for large‑scale analytics and audience forecasting.
• Work across the application stack, focusing primarily on backend data engineering.
• Ensure code quality through reviews, testing, and adherence to best practices.
• Collaborate with global engineering pods to maintain consistent coding standards.
• Mentor and guide junior engineers and contractors, fostering technical growth.
• Partner with product managers and peers to translate business requirements into scalable solutions.

Qualifications

Required

• Bachelor’s degree in Computer Science or related field.
• 5+ years of experience in data engineering, including at least 2–3 years in a senior‑level role.
• Proficiency in Python and SQL.
• Hands‑on experience with cloud platforms: Google Cloud and AWS preferred; Azure acceptable.
• Strong understanding of data warehousing concepts; experience with BigQuery or similar technologies.
• Ability to communicate complex technical concepts clearly to peers and stakeholders.

Preferred

• Experience with JavaScript (legacy code support).
• Familiarity with Snowflake or other modern data platforms.
• Exposure to AI/ML concepts and interest in applying them to data engineering.
• Healthcare industry experience is a plus.

Equal Opportunity Employment

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, marital status, or any other status protected by applicable law. Accommodations for applicants with disabilities are available in all aspects of the recruitment process upon request. If you have a disability that requires an accommodation, we encourage you to contact our Talent Acquisition Team at [e-mail], so that IQVIA can support your participation in the recruitment process.

Please note that we may use artificial intelligence (AI) in the processing of your application. However, we only use AI to assist our recruitment team with the screening or assessment of candidacies, and not as a substitute for human decision‑making.