Data Scientist - Analytics and Infrastructure Specialist

Tiger Analytics is a rapidly expanding advanced analytics consulting firm renowned for its expertise in Data Science, Machine Learning, and Artificial Intelligence. We pride ourselves on being the analytics partner of choice for multiple Fortune 100 companies, helping them derive significant business value from their data. Our leadership and business impact have been acknowledged by prominent market research entities, including Forrester and Gartner. We are on the lookout for exceptional talent to enhance our global analytics consulting team.We are currently seeking a highly skilled Data Engineer with extensive experience in Dataiku to join our dynamic data team. In this pivotal role, you will be responsible for designing, constructing, and sustaining robust data pipelines, integration processes, and infrastructure. Your collaboration with data scientists, analysts, and other key stakeholders will be essential to ensure a seamless flow of data and to facilitate data-driven decision-making throughout the organization.

Join Dropbox as a Data Engineer in our Analytics Data Engineering team, where you will play a pivotal role in building data pipelines and analytical solutions that drive our strategic decisions. You will collaborate with cross-functional teams to gather requirements, design scalable architectures, and implement robust data solutions that empower our analytics capabilities.

Join our dynamic team at Tiger Analytics as a Data Engineer specializing in Snowflake. In this fully remote role, you will leverage your expertise in data engineering to build and optimize data pipelines, ensuring high performance and reliability in data processing. You'll collaborate with cross-functional teams to deliver data solutions that drive business insights and support data-driven decision-making.

About FaireFaire is a pioneering online wholesale marketplace that champions the belief in localized commerce. Our mission is to empower independent retailers globally, who collectively generate more revenue than giants like Walmart and Amazon, by providing them with the technology, data insights, and machine learning tools they need to thrive. Imagine your favorite local boutique — we connect them with exceptional products from around the world, leveling the playing field against large retail and e-commerce giants. We believe that with the right tools, small businesses can compete effectively in today's market.By nurturing the growth of independent businesses, Faire is driving positive economic impact in local communities worldwide. We invite innovative, resourceful, and passionate individuals to join our mission as we lead the shop local movement. If you share our belief in the power of community, we would love to welcome you to ours.About this RoleOur Engineering organization is responsible for the software that powers our marketplace. The Platform group supports various teams across Faire, including Product Engineering, Data Science, Product Management, Strategy, Analytics, and Finance, ensuring they can perform at their best without worrying about the underlying infrastructure. We empower product engineering teams to develop and operate software with unparalleled speed and quality, emphasizing strong engineering practices, an excellent developer experience, security, testability, ease of maintenance, and scalability to serve millions of users. We are committed to best practices to ensure optimal availability and performance.This role is ideal for a seasoned technical leader in the data domain, with influence across multiple Platform and Product groups.Within the Platform group:The Data Infrastructure team is tasked with building and managing a secure, reliable, and cost-effective platform for data ingestion, storage, compute, orchestration, and governance.The Analytics Platform team focuses on creating effective data warehousing capabilities, essential data assets, and tools designed to expedite data-driven analytics, with a goal of minimizing the time from data acquisition to insights.Additionally, this role involves influencing and collaborating with all data and analytics functions at Faire. The Product Analytics Engineering (PAE) function enables domain...

About Tailscale Tailscale is revolutionizing the Internet by providing innovative software that seamlessly connects individuals and their devices securely, regardless of their location. From individual enthusiasts to large corporations, teams of all sizes rely on Tailscale daily to safeguard their networks and facilitate access to internal tools. We're committed to creating a simplified, sensible, and secure future for the Internet, reminiscent of its earlier days. Established in 2019 and operating fully remotely, we are supported by notable investors such as Accel, CRV, Insight, Heavybit, and Uncork Capital.Job DescriptionWe are seeking a proactive Analytics Engineer who excels in dynamic, complex environments and possesses a knack for clarifying ambiguity. You will become a vital member of our expanding data team, tackling various high-impact challenges across billing, finance, product, go-to-market (GTM), and business operations.If you are someone who poses insightful questions, delves deep to comprehend operational mechanics, and enjoys converting vaguely defined user issues into efficient, scalable data solutions, we want to hear from you. You will not shy away from questioning norms, re-evaluating processes, or navigating intricate systems. Your work will enhance team performance through pristine models, automated workflows, and dependable data.This position is ideal for an individual with substantial experience in delivering production-grade analytics engineering work, eager to expand their responsibilities and influence as our team grows.

Role overview Kubra is looking for a Data Engineer based in Mississauga, ON. This position centers on transforming raw data into actionable insights that help guide business decisions. The Data Engineer will be responsible for the full lifecycle of data pipelines, with a focus on maintaining data quality at every stage. What you will do Design, create, and manage data pipelines to ensure consistent and reliable data flow Monitor and uphold data quality standards throughout all processes Collaborate with teams across the company to support projects that rely on data-driven solutions

About Us:At ZayZoon, we are dedicated to empowering 10 million hardworking individuals to save a staggering $10 billion. Our innovative financial platform is designed to enhance employee financial wellness across organizations of all sizes.We provide a range of financial wellness services, including earned wage access, allowing employees to access their wages before payday. With 74% of our clients reporting decreased financial stress, we know our services contribute to increased employee satisfaction and productivity. ZayZoon has received recognition for our rapid growth, including accolades from the 2025 Deloitte Technology Fast 50, 2025 Deloitte Technology Fast 500, and as one of the top-10 growth companies in Canada according to CIX awards. Our recent Series B funding round has brought in nearly $50 million USD Join us in revolutionizing the future of employee financial wellness and developing services that meet the needs of today’s workforce.Although we have listed a few cities, there is no requirement to be located in any of them! We operate fully remotely and hire across Canada and the U.S.

Join Tiger Analytics, a dynamic and rapidly expanding advanced analytics consulting firm recognized for its expertise in Data Science, Machine Learning, and Artificial Intelligence. We partner with leading Fortune 100 companies to unlock the potential of their data, driving substantial business value. Acknowledged by Forrester and Gartner for our leadership in the analytics space, we are on the lookout for exceptional talent to help build the world’s premier analytics consulting team.We are currently seeking a skilled Data Engineer proficient in Dataiku to join our innovative data team. In this role, you will design, construct, and maintain data pipelines, integration processes, and infrastructure. Working closely with data scientists, analysts, and other key stakeholders, you will facilitate efficient data flow and empower data-driven decision-making throughout the organization.

About the RoleVantage Analytics is seeking a talented Senior Data Engineer to enhance our Measurement team. This team is dedicated to improving the Insights Explorer feature on our platform, allowing our partners to effortlessly convert retail media data into actionable insights.In your role as a Senior Data Engineer, you will be instrumental in architecting the data infrastructure necessary for collecting, processing, and analyzing our extensive datasets. You will leverage a suite of advanced technologies to innovate what is achievable with real-time data and large-scale batch processing.This is a newly created position, reflecting our commitment to expanding our capabilities.

About Us:At Emburse, we don't just envision the future – we create it. As a premier provider of travel and expense solutions, our mission is to harness technology to generate business value and drive remarkable outcomes. Our innovative AI-driven platform empowers organizations to enhance financial operations, gain deeper insights, and manage expenditures effectively across the enterprise.As a Software Development Engineer in Test (SDET) at Emburse, you will play a crucial role in shaping an engaging and cohesive suite of system solutions. Your expertise will allow you to elevate customer experiences, tackle intriguing challenges, and devise innovative solutions. Renowned for our pioneering technologies and commitment to engineering excellence, Emburse offers you the opportunity to collaborate with some of the brightest professionals in the industry, fostering your growth and career advancement.

As the Manager of Data Infrastructure at mqreferrals, you will be pivotal in shaping our data engineering landscape, directly reporting to the Director of Data Engineering. In this dynamic leadership role, you will oversee a dedicated team of 5-6 engineers tasked with managing critical data platforms that underpin our AI and analytics initiatives. This hands-on position blends technical expertise with effective people management, where you will mentor your team, facilitate agile delivery processes, and integrate product-oriented thinking into our infrastructure approach. Your leadership will be crucial in executing our data strategy and ensuring the operational excellence of platforms that handle billions of transactions each month.We embrace a Flexible First work culture, allowing this role to be performed remotely from anywhere in Ontario and British Columbia, Canada, with quarterly travel to the United States required. Join us on this exciting journey!

Role Overview Cozey is looking for a Staff Analytics Engineer based in Canada. This position reports directly to Frank Joly, Director of Data Engineering. The role focuses on strengthening and expanding analytics engineering across the company. The person in this seat will shape how data models, pipelines, and frameworks are built and maintained to support business decisions. Setting technical standards for data structure, documentation, and trust will help teams work more confidently and efficiently. What You Will Do Design, build, and maintain scalable dbt data models that act as the single source of truth for key business metrics. Work closely with teams across the company to ensure data is accurate and accessible. Lead efforts to improve data quality, reliability, and the efficiency of analysis. Reporting Line This role reports to Frank Joly, Director of Data Engineering. Location This position is open to candidates located in Canada.

Role overview Jobgether is recruiting on behalf of a partner company for an Engineer, Index Business Intelligence (Data Programming & Analytics) position located in Canada. This role combines data engineering, business intelligence, and market analytics to inform strategic and commercial choices through data-driven insights. What you will do Transform large and diverse datasets into structured, automated, and reusable reporting solutions. Build and maintain scalable data pipelines to meet business intelligence requirements. Create reliable data models that clarify complex or unclear business questions. Deliver actionable insights to support decision-making across the organization. Collaborate with teams in Sales, Product, Finance, Research, and Legal. Improve the efficiency and consistency of reporting processes. Support the quality of index-related intelligence for global markets. Requirements Strong programming skills with a focus on data. Ability to translate business problems into structured data solutions. Comfort working with ambiguous requirements and large datasets. Experience working with cross-functional teams. Location This position is based in Canada.

Role overview Elastic NV is seeking a Principal Analytics Engineer based in Canada. This position centers on developing analytics solutions that inform strategic choices throughout the company. Collaboration with teams from various departments is a key part of the job, ensuring that data remains accurate, accessible, and ready for analysis. What you will do Design and build analytics systems that align with business objectives Collaborate with colleagues across different functions to deliver insights based on data Uphold strong standards for data integrity and accessibility Turn complex analytical findings into clear, actionable recommendations for stakeholders Requirements Extensive experience with data modeling and ETL processes Expert-level knowledge of advanced analytics techniques Skilled at explaining technical results to both technical and non-technical audiences

Role overview eqbank is looking for a Data Engineer based in Toronto. The main focus is on building and maintaining data pipelines that transform raw data into useful insights. These efforts help teams across the company use information to reach business objectives. What you will do Design and build data pipelines for efficient collection, processing, and storage Create analytics solutions that help drive business decisions Work with colleagues from different departments to understand data requirements and deliver results Contribute to improving how data is managed and used throughout eqbank Collaboration and impact This role involves close collaboration with teams from various parts of the business. The aim is to ensure data remains accurate, easy to access, and valuable for both daily operations and long-term planning.

Join cima2 as a Data Engineer and become a pivotal part of our dynamic team in Montreal! We are looking for innovative individuals who are passionate about transforming data into actionable insights. As a Data Engineer, you will design and implement robust data pipelines, ensuring data integrity and accessibility for our analytics and business intelligence teams.

Join cima2 as a Data Engineer, where you will play a crucial role in designing, building, and managing data infrastructure. Your expertise will help in optimizing our data pipelines and ensuring seamless data flow for our cutting-edge projects.We are looking for innovative individuals who are passionate about data and eager to contribute to transformative solutions. You will collaborate with cross-functional teams to develop and implement data solutions that drive business success.

Role Overview Fullscript is hiring a Senior Analytics Engineer for the Analytics Enablement team in Ottawa, ON. This role centers on building and refining data pipelines that help teams across the company make informed decisions. The position calls for strong experience in both data engineering and analytical frameworks. What You Will Do Work with cross-functional teams to design, build, and optimize data pipelines. Enable stakeholders to access and use actionable insights for strategic planning. Support the company’s decision-making with reliable, well-structured data solutions.

About Thinkific Thinkific is a learning commerce platform that helps businesses turn knowledge into practical experiences. Our platform brings together community, courses, and content with tools for growth, supporting millions of learners worldwide. With a team of over 300, we focus on building products that make a real difference for online learning businesses. Every role at Thinkific supports our mission to improve online education and deliver measurable results. Team members work closely with colleagues who care deeply about their work and its impact. We value fairness, inclusion, and a hiring process that keeps candidates informed at every step. Role Overview: Intermediate Data Engineer Thinkific is hiring an Intermediate Data Engineer to join our Data team. This role suits data engineers who enjoy coding, as well as full-stack developers with a strong interest in data. The position is open to candidates based anywhere in Canada. As part of a small, agile group, the Intermediate Data Engineer works alongside engineers, designers, and stakeholders to solve data challenges across the stack. The work ranges from building pipelines and infrastructure to developing customer-facing data products. Reporting to a Principal Data Engineer, this role has a direct impact on internal decisions and customer outcomes. What You Will Do Tackle complex, undefined problems: dig into details, define project scope, and deliver solutions, whether that means building a pipeline, dashboard, tracking tool, or something new. Develop production-ready analytics dashboards and customer-facing data features that go beyond basic SQL and charts. Work with engineering teams to implement tracking services throughout our product suite. Partner with teams across the organization to translate broad data needs into clear, actionable deliverables. Improve technical quality within the data team through architectural choices, reducing technical debt, reviewing code, and following software development best practices. Collaborate with your team to explore new technologies and propose fresh ideas, including ways to integrate AI into our data processes.