Senior Data Engineer - AI Platforms

Quantiphi • Toronto, ON

8d • Remote

About The Position

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Their signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Quantiphi has seen 2.5x growth year-over-year since its inception in 2013, is headquartered in Boston, and employs over 4,000 professionals globally. They are an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others, and have been recognized with numerous industry awards, including 17x Google Cloud Partner of the Year awards, 3x AWS AI/ML award wins, 3x NVIDIA Partner of the Year titles, and 2x Snowflake Partner of the Year awards. Quantiphi has also garnered top analyst recognitions from Gartner, ISG, and Everest Group. They offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. The company has been certified as a Great Place to Work for the third year in a row (2021, 2022, 2023). As a Senior Data Engineer, you will design and build scalable, production-grade data platforms and pipelines that power AI and analytics use cases. This role is highly hands-on and sits at the intersection of data engineering, AI enablement, and cloud platforms. You will work closely with clients and internal stakeholders to build modern data ecosystems, with a strong focus on healthcare data and interoperability standards.

Requirements

• 7+ years of experience in Data Engineering or Data Platform development
• Strong hands-on experience with at least one of: Python, SQL, PySpark
• Experience working with at least one of the following data platforms: Snowflake, PostgreSQL, BigQuery, Amazon Redshift
• Experience building and maintaining data pipelines using one or more of: ETL / ELT frameworks, dbt, Dataflow, Dataproc, EMR, or AWS Glue, General data pipeline / data integration frameworks
• Strong SQL expertise (joins, window functions, performance tuning)
• Experience working with large-scale data processing systems
• Experience working within Healthcare domain, specifically: Healthcare providers or payer systems, Healthcare datasets (EHR/EMR)
• Familiarity with healthcare interoperability standards such as: HL7 (v2 preferred)
• Experience working with systems such as: Epic (preferred), Other clinical or healthcare data platforms

Nice To Haves

• Experience with cloud platforms (AWS, GCP, or Azure)
• Familiarity with real-time or streaming data architectures
• Exposure to modern data stack tools and best practices
• Experience with data governance, data quality, and observability tools
• Strong communication skills and experience working with cross-functional teams
• FHIR (nice to have)

Responsibilities

• Design and build scalable data pipelines (ETL/ELT) using modern data engineering frameworks
• Develop and optimize batch and real-time data processing systems
• Build and maintain data integration workflows across multiple systems and sources
• Ensure data quality, integrity, and reliability across the data lifecycle
• Work with large-scale structured and semi-structured datasets
• Optimize data pipelines for performance, scalability, and cost efficiency
• Collaborate with stakeholders to translate business needs into technical solutions
• Design and implement data models to support analytics and AI use cases
• Support healthcare data ingestion and transformation, including interoperability standards
• Maintain best practices for CI/CD, testing, and monitoring of data pipelines

Benefits

• Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
• Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
• Ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed