Principal Engineer - RF Deployment, Engineering, and Optimization

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

Location: Toronto Metropolitan AreaBase Salary: $200,000 – $225,000 (CAD)Company OverviewAt Teragonia, we are revolutionizing the private equity landscape with our cutting-edge AI Operating System. Our mission is to empower sponsors and their portfolio companies to transform fragmented operational data into actionable insights that enhance EBITDA. Operating in a high-stakes environment where results must be delivered within a 3 to 5-year horizon, we leverage our proprietary AI platform, Astradis™, to unify both structured and unstructured data, providing near real-time prescriptive insights that seamlessly integrate into existing workflows.We collaborate with private equity firms managing over US$400 billion in assets, driving measurable improvements and maintaining continuous readiness for exits. Our approach replaces traditional consulting with an AI-driven platform that amplifies expertise across various sectors and ownership cycles. Teragonia is designed for high-agency builders who seek early responsibility, direct interaction with top-tier private equity firms and their executives, and the opportunity to shape the operational framework for value creation in the AI era.We pride ourselves on offering a comprehensive career development platform, fostering cross-learning in a diverse, inclusive, and collaborative environment. Our competitive compensation package is aligned with industry leaders, featuring 401k matching, comprehensive health insurance, and additional benefits. Read more about our mission, vision, and values.

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.

Role Overview Tiger Analytics is hiring a Manager of Talent Acquisition - Analytics. This remote position is based in Toronto, Ontario, Canada. The role centers on shaping and executing the company’s recruitment strategy for analytics professionals. What You Will Do Lead recruitment initiatives aimed at attracting skilled analytics talent. Work closely with stakeholders to refine and improve hiring processes. Support efforts to build and maintain a diverse, high-performing team. Apply expertise in analytics and talent acquisition to identify, engage, and secure top candidates. Location Remote role based in Toronto, Ontario, Canada.

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.

Role overview Cozey is hiring a Staff Analytics Engineer to help shape the future of analytics engineering within the company. This position is based in Canada and reports directly to Frank Joly, Director of Data Engineering. The role centers on building and maintaining the data models, pipelines, and frameworks that inform business decisions. Setting technical standards for data structure, documentation, and trust is a key part of helping teams work efficiently and confidently. What you will do Design, build, and maintain scalable dbt data models that serve as the single source of truth for important business metrics. Collaborate with teams across Cozey to make sure data remains accurate and accessible. Lead initiatives to improve data quality, reliability, and the efficiency of analysis. Reporting line This position reports to Frank Joly, Director of Data Engineering. Location This role is open to candidates based in Canada.

Role Overview Arc'teryx Equipment Inc. is hiring an Analytics Engineer focused on Retail Analytics for the North Vancouver, BC corporate office. This hybrid role sits within the Retail Capabilities Department and reports to the Senior Manager, Retail Analytics. The Analytics Engineer will play a central role in shaping business intelligence efforts for our retail operations. The position involves designing, implementing, and enhancing advanced reporting and analytics solutions that support decision-making across the organization. What You Will Do Collaborate with the Senior Manager of Retail Analytics and cross-functional partners in FP&A, Operations Solutions, and Technology to deliver impactful analytics projects. Develop and refine reporting frameworks that turn raw data into actionable business insights. Integrate data analysis with business strategy to support improvements in vertical retail operations. Work within an agile environment to create and execute comprehensive analytics solutions. Who You Are Experienced in retail analytics, finance, or workforce planning. Comfortable working in a collaborative, agile setting. Skilled at translating complex data into clear, meaningful insights for business stakeholders. Eligible to work in Canada. This position is based in North Vancouver and follows a hybrid work schedule. About the Team The Retail Capabilities team develops and executes scalable strategies that align with Arc'teryx's business goals. Serving as a bridge between retail locations and cross-functional partners, the team ensures that projects and initiatives remain coordinated to guide the ongoing evolution of our retail fleet.

Join Our Team at Clutch!Clutch is Canada’s premier online used car retailer, dedicated to providing an effortless and enjoyable car-buying experience for drivers across the nation. With hundreds of cars available for browsing from the comfort of home, our customers can have their perfect vehicle delivered right to their doorstep, all backed by our 10-Day Money-Back Guarantee.Recognized as one of Canada’s Top Growing Companies for two consecutive years and included in LinkedIn’s Top Canadian Startups list, we are eager to welcome motivated, inquisitive, and hardworking individuals to our expanding team.Founded in 2017 and headquartered in Toronto, Clutch is supported by top-tier investors such as Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more about our innovative approach to car retailing, visit clutch.ca.

As a Principal Experience Engineer at Precisely International Jobs, the focus is on shaping standout user experiences for customers across Canada. This position leads efforts to improve design and technology approaches, working closely with teams from different disciplines to boost satisfaction and engagement. Role overview This role calls for deep expertise in user experience design and engineering. The Principal Experience Engineer helps set product direction, making sure interfaces are intuitive and seamless. Collaboration is key, as is the ability to guide decisions that impact the overall customer journey. What you will do Work with cross-functional teams to define and implement strategies that improve user experiences Apply advanced knowledge of UX design and engineering to influence product development Mentor junior engineers and support their growth Help establish and refine best practices within the organization Requirements Extensive experience in user experience design and engineering Strong collaboration skills for working with diverse teams Ability to mentor and guide junior engineers Track record of contributing to best practices in a technology-driven environment

Tiger Analytics is a premier advanced analytics consulting firm, recognized as a trusted partner to numerous Fortune 100 companies. We empower businesses to derive significant value from their data through our deep expertise in Data Science, Machine Learning, and Artificial Intelligence. Our leadership and contributions in the field have been acknowledged by industry leaders such as Forrester and Gartner.We are seeking an individual who possesses a strong combination of business consulting acumen and a solid background in data analytics.Key Responsibilities:Leverage cutting-edge data science applications to address complex business challenges.Engage directly with client stakeholders to translate business needs into comprehensive analytics solutions.Effectively present analytical strategies to diverse business audiences, emphasizing the value and reliability of the proposed solutions.Design and implement end-to-end analytics solutions based on a thorough understanding of business problems to ensure efficient and sustainable delivery.Lead analytics projects while fostering collaboration with client stakeholders and global Tiger Analytics teams.Collaborate with team members to identify and implement relevant analytical techniques that yield actionable business insights.Deliver presentations to senior management, relay results to business teams, and develop strategies to integrate analytics into operational processes.

Join Tiger Analytics as a Manager/Sr. Manager in Customer and Digital Marketing Analytics. In this pivotal role, you will spearhead analytical initiatives that drive marketing strategies for our retail and consumer packaged goods (CPG) clients. You will leverage data to extract actionable insights, enabling our clients to enhance customer engagement, optimize marketing spends, and achieve remarkable growth.As a leader in our analytics team, you’ll collaborate closely with cross-functional teams, guiding project execution from inception to completion while ensuring alignment with business objectives. You will also mentor junior analysts and contribute to the overall development of analytic capabilities within the organization.

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.

Join us as a Principal Software Engineer, where you'll play a pivotal role in designing and developing innovative software solutions that empower organizations to optimize their hiring processes. As a key member of our engineering team, you'll collaborate with top-tier talent, utilizing cutting-edge technologies to create software that redefines the future of recruitment.Lever, founded a decade ago, is on a mission to revolutionize the way companies attract and hire exceptional talent. Our platform is trusted by industry leaders like Netflix, Shopify, and Spotify, and we've established ourselves as innovators in the talent acquisition space. Recognized as the #1 workplace in San Francisco and a top employer in the United States, we take pride in our people-first culture and are committed to nurturing our talented workforce.

About DialpadDialpad is the premier AI-driven platform for customer communications, revolutionizing the way businesses interact with their clients. Over 50,000 organizations worldwide, including industry giants like Netflix, RE/MAX, Uber, Randstad, and Tractor Supply, trust Dialpad to enhance customer engagement through real-time AI-powered insights. Explore more at dialpad.com.Join the Dialpad TeamAt Dialpad, you will collaborate with a dynamic team committed to our mission of ensuring the success of our customers and their teams. We value every conversation and are enhancing each interaction with a platform that delivers real-time insights and automation.We embrace a culture of continuous growth, where every employee harnesses cutting-edge AI to refine our platform and their own capabilities. We seek ambitious individuals who not only meet our high standards but exceed them. Our aspirations are high, and achieving them necessitates a team that operates at peak performance. We look for candidates who embody key traits vital to our success: Scrappy, Curious, Optimistic, Persistent, and Empathetic.Your RoleAs an Analytics Engineer, you will play a critical role in our data analysis and QA team, providing essential data support for our innovative Agentic AI projects, particularly within the ASR and NLP teams. Your primary focus will involve utilizing data analysis to identify and optimize conversational flows and the foundational data infrastructure for agentic voice and chat solutions. You will actively pursue opportunities to enhance the team's productivity and workflows through automation and process optimization, including the implementation of automated QA for our agentic systems.This position reports to the manager of the Data Analysis and QA team and is based in our Vancouver, Canada office.

Be Part of the Financial Revolution.At Robinhood, we are on a mission to make finance accessible to everyone. With an anticipated transfer of $124 trillion in assets passing to younger generations over the next two decades, we are positioned at the forefront of a transformative shift. If you are eager to play a pivotal role in this historical moment, we want to hear from you.Role OverviewAs a vital member of Robinhood’s Analytics Engineering team within our Data Science division, you will help shape our decision-making framework. Your contributions will include the design and implementation of data products that are essential for product innovation, regulatory compliance, and operational effectiveness. Our goal is straightforward yet ambitious: to empower each team at Robinhood with reliable, scalable, and self-service analytics, enabling swift and informed decision-making.Working at the crossroads of data engineering, data science, and product strategy, you will collaborate with product managers, engineers, and data scientists to turn raw data into actionable insights. In your role as an Analytics Engineer, you will be instrumental in architecting Robinhood’s data infrastructure, overseeing the creation of high-performance ETL pipelines, data models, and analytical tools that drive critical business decisions.Your impact will extend beyond just building systems; you will help establish metrics, shape datasets, and set the benchmarks for analytics excellence across the organization, influencing our growth trajectory.This position is based in our Toronto office, with in-person collaboration expected at least three days per week.

Join our dynamic team at Kaseya as a Principal Software Engineer, where you will lead the design and implementation of innovative software solutions. You will collaborate with cross-functional teams, mentor junior engineers, and drive best practices in software development.

Wavelo is a pioneering SaaS company dedicated to simplifying the telecommunications experience. Our innovative software solutions empower communication service providers (CSPs) to modernize their operations, enhancing customer value and accelerating growth. As a proud member of Tucows (NASDAQ: TCX, TSX: TC)—one of the world's leading Internet services companies—Wavelo benefits from exceptional resources and talent. We adopt a people-centric approach emphasizing respect, trust, and flexibility. Our remote-first culture allows you to work from anywhere with an internet connection! The impact of our work is significant and transformative. If you find this opportunity enticing, we encourage you to apply! About the Role We are on the lookout for a driven Principal Engineer specializing in Platform Engineering who is passionate about learning, knowledge sharing, and leveraging new technologies to tackle complex challenges. In this role, you will define technical strategies and deliver robust platform capabilities that enhance Wavelo's speed to market, operational efficiency, and scalability, with an emphasis on environment automation, CI/CD maturity, reliability and observability, and developer experience. This position is ideal for someone who excels in navigating ambiguous challenges, aligns technical initiatives with business goals, and consistently uplifts engineering standards across teams. You will collaborate closely with Infrastructure/DevOps teams and cross-functional stakeholders to minimize dependencies and drive significant improvements through delivery and reliability metrics such as DORA metrics, incident reduction, and toil minimization. This is a remote opportunity for candidates located in Canada.

Our Mission at DotmaticsAt Dotmatics, we are convinced that the integration of science, data, and informed decision-making is essential for driving innovation forward.Our comprehensive portfolio encompasses cutting-edge solutions including Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, MStar, SoftGenetics, and Virscidian.Join Us in Shaping the Future of ScienceWe envision a revolutionary Lab of the Future that will redefine the landscape of scientific research.We have developed the most extensive digital science platform globally, featuring best-in-class software applications utilized by over 2 million scientists. These applications coexist within a unified ecosystem, powered by a flexible and robust enterprise data platform. This is not mere static data; it represents dynamic, multi-dimensional decision-making.To achieve tomorrow's breakthroughs, scientific enterprises require enhanced effectiveness. Time is of the essence—illness and ecological challenges do not wait. We are relentless in our vision because the moment for innovation is now.Collaborative Team EnvironmentOur global team of over 800 professionals is dedicated to assisting customers in more than 180 countries. Together with our community of scientific users, we are accelerating scientific innovation to create a healthier, cleaner, and safer world.As a member of our collaborative global team, your contributions will have a meaningful impact, driving scientific progress and discovery. We provide a dynamic, remote-friendly environment that emphasizes integrity and collaboration, enabling you to thrive. Dotmatics is a company founded by scientists, for scientists. Together, we are the largest cloud-based scientific research R&D platform globally, and we need your expertise to continue our growth and pioneering efforts. Our Core Values: Science Driven. Customer Centric. Better Together.

About FaireFaire is a dynamic online wholesale marketplace driven by the conviction that the future is local. Independent retailers across the globe are generating more revenue than Walmart and Amazon combined. However, individually, they appear small next to these retail giants. At Faire, we harness the power of technology, data, and machine learning to bridge the gap for this vibrant community of entrepreneurs worldwide. Imagine your beloved local boutique — we assist them in discovering the finest products from around the globe to stock in their stores. With the right tools and insights, we empower small businesses to compete with large-scale retailers and e-commerce platforms.By fostering the growth of independent businesses, Faire is making a positive economic impact in communities everywhere. We are in search of intelligent, resourceful, and passionate individuals to join us in driving the shop-local movement. If you value community, we invite you to become part of ours.About this Role:Our Engineering organization is responsible for the software that powers our marketplace. The Platform group supports various teams at Faire, including Product Engineering, Data Science, Product Management, Strategy, Analytics, and Finance, enabling them to excel without the worry of underlying infrastructure. We empower product engineering teams to develop and operate software with unmatched speed and quality, emphasizing good engineering practices, superior developer experience, security, testability, maintainability, and scalability to support millions of users. We are committed to best practices that ensure exceptional availability and performance.The Analytics Platform team is tasked with building capabilities that enhance data-driven analytics, boosting productivity and accuracy at Faire. Our goal is to minimize the time from data collection to actionable insights.The team concentrates on the following areas and capabilities:Optimization of data warehousing, including performance, efficiency, and costEstablishment of data quality, metadata enrichment, lineage, and privacy capabilitiesDevelopment of tools and capabilities to enhance the productivity of analytics experts and automate analytics functionsCreation of development patterns and practices for foundational assetsIncorporation of data security, privacy, and governance elementsAdditionally, the team manages relationships with select infrastructure vendors.