Top Data Jobs in Ottawa

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

The Data Analyst will oversee data research projects, implement data reporting best practices, analyze marketing campaign effectiveness, and provide insights to drive growth for Canadian digital identity.

The Sales Executive will drive new business development, manage client relationships, and execute the full sales cycle for CoStar Debt Solutions, focusing on commercial real estate lenders.

Lead the Orchestration Services team, overseeing data management and engineering projects while fostering team development and collaboration. Drive technical decisions and multi-year roadmaps for new products.

The role involves defining and executing the marketing strategy for Stripe's Tax and Data products, leading a team, communicating cross-functionally, and using data insights to drive growth.

This role involves deploying solutions for clients, managing data compliance, and providing feedback for product improvement. Requires collaboration with teams and clients.

The Business Data Analyst at Motorola Solutions conducts data analysis to identify issues, collaborate with teams, and implement improvements in business processes, enhancing operational efficiency and decision-making through data-driven insights.

As a Product Manager at Reflow, you will lead product strategy, execution, and delivery while ensuring customer engagement and managing engineering dependencies in an early-stage startup environment.

In this role, you will define and execute the go-to-market strategy, drive growth, and lead customer success efforts at Reflow, a workplace intelligence platform.

Lead and optimize data collection, validation, storage and reporting activities. Ensure data quality and governance, implement process improvements, support new systems rollout, mentor junior staff, and maintain documentation and compliance with security and regulatory requirements.

The Container Optimization Marketing Manager will strategize and execute marketing initiatives to drive growth and pipeline for DoiT's Kubernetes solutions, ensuring competitive market positioning and measurable revenue impact.

Design, build, and operate large-scale distributed batch and streaming data systems on AWS. Develop production-grade services, data pipelines (Spark/Hadoop/Airflow), microservices, IaC/CI-CD, and tooling; mentor peers and troubleshoot complex production issues to ensure reliability, scalability, and observability of Cloud Analytics platform.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

The Cloud Data Engineer will design and implement cloud-based data platforms, develop data pipelines, and ensure data accessibility for analytics across multiple sources.

As a Workday Financials Data Lead Consultant, you will implement and configure Workday solutions, lead data workstreams, and support customer relationships while driving data consulting growth within Kainos.

The role involves designing, building, and deploying machine learning models, collaborating with teams to address business problems, and mentoring other data scientists.

Support recruitment by entering and organizing candidate information, maintaining spreadsheets, and performing basic administrative tasks.

The Data Analyst/Researcher will design data collection strategies, develop algorithms, analyze data, and provide insights to support business decisions in a remote startup environment.

The Data Analyst/Researcher will drive data strategy, perform data analysis using Python and SQL, and support product decisions with actionable insights.

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

As a Senior Data Engineer, you will build scalable data pipelines, manage cloud infrastructure, and support analytics and data science teams, leveraging various technologies to deliver impactful solutions for clients.

Lead the data engineering efforts by building and optimizing ETL pipelines and data lakes, ensuring data integrity and supporting cross-functional teams with actionable insights.

Lead data engineering efforts to build and optimize scalable ETL processes, ensuring reliable data for business intelligence and analytics teams.

The Senior Data Analytics Engineer will develop reporting solutions, perform data analysis, improve data quality, and collaborate with stakeholders to enhance business metrics understanding. They should have strong SQL skills and at least 7 years of experience in analytics roles.

The Google Cloud Data Engineer will design, build, and improve partner-facing web portals, contribute to the full software development lifecycle, and collaborate with cross-functional teams for high-quality software delivery.