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ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology, and human ingenuity to deliver better outcomes for all. Here you’ll work side by side with a powerful collective of thinkers and experts shaping life‑changing solutions for patients, caregivers and consumers worldwide.

SENIOR ASSOCIATE ENGINEER - DATA

Overview

The Senior Associate Data Engineer is a critical member of the engineering team, responsible for designing, building, and maintaining robust data systems and infrastructure. This role focuses on enabling efficient data processing, collection, storage, and analysis at scale to support data‑driven decision‑making and operational optimization.

What you’ll do

- Build, orchestrate and optimize data pipelines to extract, transform, and load (ETL) data from various sources into the organization’s data warehouse or data lake.
- Integrate data from diverse sources such as databases, APIs, streaming platforms, and file systems into cohesive pipelines.
- Implement real‑time, batch, and incremental data processing solutions.
- Implement data quality checks and validation processes to ensure accuracy, completeness, and consistency.
- Develop and maintain high‑performance data pipelines that seamlessly integrate data into data warehouses, data lakes, and other storage solutions.
- Develop monitoring and alerting mechanisms to proactively address data quality issues.
- Optimize ETL processes for efficiency, reliability, and data quality.
- Implement and manage data storage solutions, including relational databases, NoSQL databases, and distributed file systems.
- Manage the infrastructure and resources required to support data engineering workflows, including compute clusters, storage systems, and data processing frameworks.
- Implement security controls, data governance measures, encryption, access controls, and auditing mechanisms to safeguard data privacy and integrity and ensure compliance with regulatory requirements such as GDPR, CCPA, HIPAA, and PCI‑DSS.





Data Engineering Best Practices

- Write production‑ready, testable code that adheres to engineering best practices and accounts for edge cases and error handling.
- Ensure high‑quality deliverables through code reviews, design reviews, and architectural guidelines.
- Develop comprehensive unit tests and integration tests to validate pipeline functionality and data integrity.
- Stay up to date with the latest data engineering tools, technologies, and methodologies, and evaluate their applicability to the team’s needs.

Technical Leadership and Collaboration

- Provide technical guidance and mentorship to junior engineers on the team.
- Collaborate with data scientists, business analysts, and other stakeholders to translate data requirements into robust engineering solutions.
- Work closely with other engineering teams to integrate data solutions seamlessly into the overall technology ecosystem.
- Participate actively in agile ceremonies, communicate progress, and manage dependencies effectively.

What you’ll bring

Education

A relevant bachelor’s or master’s degree in computer science, data engineering, or a related technical field.

Technical Skills

- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud-based data platforms (e.g., AWS, Azure, Snowflake).
- Expertise in data integration and ETL tools (e.g., Talend, Informatica, Apache NiFi).
- Strong understanding of data modeling, data warehousing, and data lake concepts and best practices.
- Familiarity with CI/CD pipelines and application monitoring practices.
- Certifications in data engineering (e.g., Azure Data Engineer, AWS Certified Data Engineer) are a plus.

Experience

- 3+ years of experience in a data engineering role focused on building scalable, reliable,



and high‑performance data systems with Snowflake.
- Proven track record of designing and implementing data pipelines, data storage solutions, and data processing workflows.
- Hands‑on experience with distributed computing frameworks and cloud‑based data services.
- Demonstrated ability to collaborate with cross‑functional teams and communicate technical solutions effectively.
- Ability to travel to other offices or client locations as needed.
- Strong communication skills; fluency in English.
- Client‑first mentality, intense work ethic, collaborative spirit, and problem‑solving approach.

Benefits & Perks

ZS offers a comprehensive total rewards package including health and well‑being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options, and internal mobility paths empower you to thrive as an individual and global team member.

Travel

Travel is a requirement for client‑facing ZSers; the business needs of your project and client are the priority. While some projects may be local, all client‑facing ZSers should be prepared to travel as needed.

Inclusion & Belonging

At ZS, we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We are committed to building a team that reflects a broad variety of backgrounds, perspectives and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

Equal Opportunity

ZS is an equal chance employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

Application Process

Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered.

Contact

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📌 Senior Associate Engineer - Data (Toronto)
🏢 ZS
📍 Toronto