Top Data Jobs in Ottawa

The Director of Data will lead the evolution of ZayZoon's data platform, managing a team while enhancing data governance and analytics to support business growth.

As a Senior Customer Operations Data Analyst, you will analyze customer support data to enhance decision-making, improve user experience, and drive insights across the Customer Support function.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

The Data Annotation Specialist will label, rank, audit, and correct machine learning data in French or Quebecois to enhance AI models' performance, ensuring data integrity.

The Senior Data Scientist will analyze customer data, define success metrics, lead technical teams, and develop data infrastructure to improve products at Webflow.

Design and architect scalable file and object storage solutions. Lead workshops and POCs, collaborate with product management, and provide competitive insights.

Lead data and AI transformation programs, partnering with executives to define strategies and deliver modern data platforms and solutions, while driving business growth and ensuring excellence.

Lead and enhance scalable data engineering efforts facilitating effective data usage across teams, ensuring quality and accessibility of critical data.

Lead data engineering efforts to build scalable ETL pipelines and maintain a data lake infrastructure to drive business intelligence and analytics across teams.

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

Lead the ETL testing process with a focus on data automation, manage customer relationships, and guide testing teams with excellent communication skills.

The role involves ensuring the reliability of Veeva AI Agents through evaluation strategies, LLM output integrity assessments, and automation of evaluation pipelines while debugging and reporting performance metrics.

Design and build platform services at Atlan, focusing on app lifecycle, distribution, and system architecture for reliability and scale.

As an AI Data Collector, you will capture high-quality images in various environments following project guidelines and deadlines. You will work independently, document your process, and help shape the future of AI technologies.

As a Business Development Intern, you will support acquisition activities by validating prospect data, conducting market research, and aiding analysis for software company acquisitions.

Design and build scalable ETL/ELT pipelines for clinical data, optimize data architectures in AWS, support AI workflows and ensure compliance and data governance.

Join Quora's data infrastructure team to build and maintain data lakes, pipelines, query engines, and dashboards. Work on scalability, cost and performance improvements, participate in planning and on-call rotations, and contribute to tooling and reliability. Mentorship and training provided for new graduates.

As a Senior Data Engineer at Afresh, you'll improve how customer data is integrated and processed, designing robust ETLs and enhancing platform tools to support scalability and accuracy in handling large datasets.

As a Data Analyst, you will optimize the reporting ecosystem, focusing on SSRS and Power BI, ensuring data accuracy and driving modern analytics adoption.

As a Senior Data Engineer at nesto, you will design, build, and optimize data pipelines in Azure and GCP, manage databases, enable BI reporting, and ensure data security and compliance.

The Data Intern will analyze content from pharma/biotech/MedTech sources, focusing on data quality and sourcing using machine learning methods. Tasks include spreadsheet manipulation and prompt engineering for LLMs, collaborating with data teams for industry insights.

The role involves leading a Product Management team during maternity leave, ensuring delivery excellence and hands-on contribution to client engagements, with a focus on coaching, risk management, and client relations.

The Principal Clinical Data Science Lead will oversee data science methodologies in clinical research, manage teams, and ensure data insights support clinical development.

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.