Data Engineering Intern/Co-op - Summer 2026

Role overview Asana is seeking a Senior Data Engineer based in Vancouver, BC. This position centers on developing and enhancing the company’s data architecture. The Senior Data Engineer partners with teams throughout the organization to build and maintain scalable data pipelines that support business growth. What you will do Design, implement, and maintain d…

Rivian and Volkswagen Group Technologies brings together two leaders in automotive innovation to shape the future of mobility. This collaboration focuses on developing advanced operating systems, zonal controllers, and cloud connectivity for software-defined vehicles. The team is dedicated to solving challenges in electric vehicle technology, aiming to set new standards in the industry. By combining expertise in connectivity, artificial intelligence, and security, the partnership works toward a more connected and sustainable future. Role overview The Senior Data Engineer, Ingestion Framework, joins the Data & AI Platform team in Vancouver. This role centers on supporting the big data platform, which operates at a petabyte scale. The main focus is on architecting and maintaining a custom vehicle data processing framework built with Go, and ensuring it integrates smoothly with the Databricks platform. What you will do Design and maintain a custom-built data ingestion framework using Go. Support seamless integration between the ingestion framework and Databricks. Help ensure reliable, large-scale operation of the vehicle data platform. Location This position is based in Vancouver, British Columbia.

Join Flagler Health, a dynamic healthtech innovator, as we revolutionize the delivery of healthcare services through cutting-edge AI-driven workflow automation, remote patient engagement, and comprehensive chronic care programs. Our platform has positively impacted over 1.5 million patients and is a trusted partner for healthcare providers and payers aiming to improve operational efficiency and patient outcomes while reducing costs. With a unique freemium model and limited competition, we are set to capture a significant portion of the $4.5 trillion U.S. healthcare market.Key ResponsibilitiesDatabricks Platform Expertise• Design, manage, and enhance data pipelines utilizing the Databricks platform.• Troubleshoot and debug Spark applications to ensure optimal performance and reliability.• Apply best practices in Spark computing and workload optimization.• Python Development• Write clean, efficient, and reusable Python code adhering to object-oriented principles.• Develop APIs to facilitate data integration and application functionality.• Create scripts and tools that automate data processing and workflows.MongoDB Management• Manage, query, and integrate data within MongoDB.• Ensure efficient data storage and retrieval tailored to application needs.• Optimize MongoDB's performance for handling large datasets.• Collaboration and Problem Solving• Collaborate closely with data scientists, analysts, and stakeholders to address data requirements and deliver effective solutions.• Identify and resolve technical challenges related to data processing and system architecture.

At ZoomInfo, we accelerate careers by fostering a fast-paced environment where bold thinking is encouraged. Join us to do the best work of your life alongside a supportive team that values collaboration, challenges the status quo, and celebrates achievements. We provide you with tools that enhance your impact and a culture that empowers your ambitions, allowing you to not just contribute but to truly make things happen.About the RoleWe are on the lookout for a Senior Data Engineering Analyst to become the go-to expert on our data pipeline, which is responsible for ingesting, processing, and profiling millions of company records that drive our clients' go-to-market strategies.In this pivotal role, you will develop a comprehensive understanding of our data flow—from acquisition to profiling and output. You'll analyze code to grasp data transformations and system dependencies, provide valuable insights during design discussions with Engineering and Product teams, and help guide the evolution of our next-generation data infrastructure. As you gain expertise, you will lead strategic data improvement initiatives that require both systems thinking and innovative problem-solving.This role transcends typical dashboard creation or SQL reporting; it focuses on understanding data systems architecturally, tackling ambiguous data challenges, and evolving our pipeline infrastructure to meet customer demands and maintain a competitive edge.Your collaboration with fellow data analysts will be crucial during our active infrastructure transition. As our systems stabilize and your expertise grows, you will progressively take ownership of the pipeline architecture and lead strategic initiatives. This position offers significant growth potential for those looking to be the technical authority on company data systems.

At Databricks, we are dedicated to empowering data teams in tackling some of the world's most challenging issues — from speeding up medical innovations to crafting the next wave of intelligent products. We achieve this by developing the premier Data Intelligence Platform, enabling our clients to transform vast amounts of data into profound, actionable insights. Founded by engineers and fueled by innovation, we are passionate about creating intuitive, high-performance user experiences that simplify complex data exploration. As a Senior Frontend Engineer specializing in Data Visualization, you will create interactive and scalable visual experiences that allow users to explore, analyze, and share insights from vast datasets. You will collaborate closely with designers, product managers, and backend engineers to develop the next generation of visualization frameworks, dashboards, and analytical interfaces within Databricks.

Why Join Us?At Brex, we are pioneering an AI-driven spend management platform that empowers organizations to spend wisely through integrated corporate cards, banking services, and global payment solutions. Our innovative software simplifies travel and expense management, making it easy for businesses of all sizes—from startups to large enterprises such as DoorDash, Flexport, and Compass—to take charge of their expenditures, minimize costs, and enhance operational efficiency on a global scale.Joining Brex means challenging yourself, redefining the norms, and collaborating with some of the industry’s brightest talents. We are dedicated to cultivating a diverse and inclusive workforce, and we believe your ambitions should only be limited by your imagination. Our commitment is to equip you with the necessary tools, resources, and support for your professional development.Engineering at BrexOur engineering teams at Brex are focused on creating systems that scale effectively and purposefully. We encompass Software, Data, Security, and IT, fostering an atmosphere of high autonomy and collaborative synergy. We tackle complex technical challenges, own our results, and strive for excellence from architecture to deployment. Here, engineering is regarded as a craft, and builders have the opportunity to emerge as leaders.Where You’ll WorkThis position is based in our Vancouver office. We embrace a hybrid work model that combines the vibrancy and connectivity of office life with the benefits of remote work. Currently, we require team members to be in the office at least three coordinated days each week—specifically Monday, Wednesday, and Thursday.Additionally, we offer up to four weeks of fully remote work each year!Your RoleAs a member of our Product Data Platform (PDP) team, you will help build and manage the high-performance data infrastructure that underpins critical product experiences at Brex. The mission of PDP is to render Brex customizable, scalable, and reliable for finance teams, necessitating deeply optimized backend systems ready for production.In your role as a Senior Software Engineer, you will engage with data-intensive, distributed systems at scale. You will spearhead architectural and performance enhancements across the platform, striving to improve latency, accuracy, and scalability across various product surfaces. The PDP team also develops AI-driven data products, including an interactive reporting tool that enables customers to engage dynamically with their financial data. Your contributions will ensure these systems are fast, reliable, and built for scalability.

At ZoomInfo, we drive career growth by fostering an environment that is fast-paced, innovative, and empowering. You will work alongside passionate teammates who challenge one another and celebrate collective achievements. Our tools and supportive culture are designed to help you make a significant impact and achieve your ambitions swiftly.About the RoleWe are looking for a Senior Analytics Engineer who will become the authority on our data pipeline—the backbone that ingests, processes, and profiles millions of company records to enhance our clients' go-to-market strategies.In this position, you will develop a profound understanding of how our data flows from acquisition through profiling and output. You will analyze code to grasp data transformations and system dependencies, contribute informed perspectives to design discussions with Engineering and Product, and help guide the evolution of our next-gen data infrastructure. As you master our systems, you will play a critical role in leading strategic data improvement initiatives that require both systemic thinking and innovative problem-solving.This role is not focused on merely building dashboards or SQL reports; it centers on comprehending data systems at an architectural level, addressing complex data challenges, and ensuring our pipeline infrastructure evolves consistently to fulfill client needs and sustain our competitive edge.You will collaborate closely with fellow data analysts during an active infrastructure transition phase. As systems stabilize and your expertise deepens, you will gradually take ownership of more pipeline architecture and strategic projects. This role offers substantial growth potential for those eager to become the go-to technical expert in our data systems.

Remarcable Inc. supports trade contractors in managing procurement, tools, and warehouse operations by providing greater visibility and control. As the company expands throughout North America, data remains at the heart of its strategy. Role overview The Data Engineer will help shape and maintain Remarcable’s AWS Lakehouse infrastructure. This position focuses on designing ELT pipelines and building data models that inform decisions for product, operations, and leadership teams. The work also involves developing data infrastructure to enable AI and machine learning features for both contractors and back-office users. Location This hybrid role is based in Vancouver, BC. What you will do Build and maintain AWS Lakehouse architecture Design and implement ELT data pipelines Develop data models to guide business and product choices Create and support data infrastructure for AI and ML features What Remarcable values Strong interest in clean, reliable data architecture Motivation to influence the future of construction technology Ownership mindset and a willingness to take initiative

Role Overview AfterShip is hiring a Senior Marketing Data Analyst in Vancouver. This position focuses on using data to improve marketing strategies and campaign performance. The analyst will examine marketing metrics, spot trends, and recommend steps to strengthen marketing results. What You Will Do Analyze marketing performance data to uncover patterns and opportunities Identify trends that impact campaign results and overall marketing effectiveness Provide clear, actionable recommendations to improve marketing efforts Support decision-making by connecting marketing activities to business goals Impact This role ensures marketing campaigns deliver measurable results and stay aligned with AfterShip’s business objectives. The insights provided will help shape future marketing strategies and drive growth.

At ZoomInfo, we accelerate careers and foster an environment where innovation thrives. Our fast-paced culture empowers you to achieve exceptional results while collaborating with dedicated teammates who celebrate every success. Equipped with advanced tools and a supportive culture, you will not only contribute but drive impactful outcomes at a remarkable pace.About the RoleWe are looking for a Senior Data Pipeline Analyst who will become the authority on our extensive company data pipeline, which ingests, processes, and profiles millions of records critical to our clients' go-to-market strategies.In this position, you will gain deep insights into the lifecycle of our company data—from acquisition through profiling to output. Your role will involve reading code to grasp data transformations and system dependencies, engaging in design discussions with our Engineering and Product teams, and influencing the evolution of our next-generation data infrastructure. As you deepen your expertise, you will lead strategic initiatives aimed at enhancing our data systems through both analytical and creative problem-solving approaches.This role goes beyond mere dashboard creation or SQL reporting; it demands a thorough understanding of data systems at an architectural level and the ability to tackle complex data challenges. You will ensure that our pipeline infrastructure evolves continuously to meet client demands and retain a competitive edge.Working closely with fellow data analysts during a dynamic transition phase, you will progressively take ownership of the pipeline architecture and strategic initiatives as our systems stabilize and your expertise grows. This position offers significant opportunities for advancement for individuals eager to become the leading technical expert on our company data systems.

At ZoomInfo, we accelerate careers and thrive in a fast-paced, innovative environment. Our team is built on collaboration and support, empowering everyone to achieve remarkable results. With cutting-edge tools and a culture that fosters ambition, you won't just be a contributor—you'll be a catalyst for growth and change.About the RoleWe are looking for a Senior Data Systems Analyst to take charge of our data pipeline, which is critical in processing millions of company records that drive our customers' market strategies. In this pivotal role, you will gain profound insights into our data acquisition, profiling, and output processes.You will dive into code to comprehend data transformations and system dependencies, providing valuable input during design discussions with our Engineering and Product teams. Your expertise will shape the future of our data infrastructure. As you grow your knowledge, you will lead strategic data enhancement initiatives that require both systems thinking and innovative problem-solving skills.This position focuses on understanding data systems at an architectural level rather than merely producing dashboards or SQL reports. You will tackle complex data challenges and ensure our pipeline infrastructure evolves to meet customer needs and maintain our competitive edge.During an active period of infrastructure transition, you will collaborate closely with fellow data analysts. As systems stabilize and your expertise deepens, you will take on greater ownership of the pipeline architecture and strategic projects, paving the way for your growth as the leading technical expert in our data systems.

At Databricks, we are dedicated to revolutionizing the world of data and AI. Our goal is to make data-driven insights accessible to everyone, from pioneering the next mode of transportation to facilitating groundbreaking medical advancements. We achieve this by developing and maintaining the premier data and AI infrastructure platform, empowering our clients to leverage deep data insights to enhance their operations. Founded by engineers with a strong customer focus, we eagerly embrace every chance to tackle technical challenges, whether it involves crafting next-generation UI/UX for data interactions or optimizing our services and infrastructure across millions of virtual machines. And we are just getting started. As a Senior Fullstack Software Engineer, you will collaborate closely with your team and product management to streamline data insights for users. We seek engineers who are passionate about customer satisfaction and can oversee the entire product scope, extending their vision beyond mere technical execution. You will play a crucial role in establishing a solid foundation for the development of robust, scalable, and enjoyable products. Our Vancouver location is set to become the latest research and development hub for Databricks, enhancing our footprint in the Pacific Northwest. We are actively recruiting top-tier engineers to join us on our mission to democratize data and AI. We envision the Vancouver site as a critical catalyst for product innovation at Databricks, initially focusing on several strategic areas and multiple open roles across the following teams: Log Analytics - Our customers increasingly utilize Databricks for real-time analysis of petabyte-scale logs, presenting new challenges throughout the data processing pipeline, including ingestion, indexing, processing, and user experience. AI/BI - AI/BI is transforming Business Intelligence for the AI era. Launched last summer, this product has rapidly gained traction, with 98.7% of our data warehousing customers already utilizing AI/BI. The solutions we are developing, from intricate dashboards to advanced visualizations and interactive data exploration, present exciting technical challenges across the full stack. Unity Catalog Business Semantics - Understanding context is vital for AI. For enterprise data, this context must be governed effectively, which is the purpose of Unity Catalog Business Semantics. Recently launched at our Data + AI Summit, our first semantics modeling capability, Unity Catalog Metrics, is just the beginning. Engineers on this team work at the intersection of large-scale distributed systems, data modeling, governance, and AI enablement. Databricks Apps - Databricks Apps is one of the fastest-growing areas in our portfolio, focusing on creating seamless applications that enhance user engagement and data interaction.

impact.com builds a platform for brands to manage and grow partnerships across the entire customer journey. Over 5,000 companies, including major names like Walmart, Uber, and Shopify, use impact.com to oversee a network of more than 350,000 partnerships. Role overview The Senior Data Scientist, Programmatic Algorithms, joins the Programmatic Experience Group as an individual contributor. This role centers on designing and deploying machine learning models to optimize yield, pricing, and inventory allocation at scale. The work blends data science, platform engineering, and marketplace economics, directly influencing impact.com’s programmatic marketplace by balancing advertiser results with publisher monetization. This position offers significant autonomy and responsibility across the full machine learning lifecycle. Projects range from building data pipelines and engineering features to deploying real-time inference systems that support rapid decision-making. Regular collaboration with Product, Data Science, and Programmatic Delivery Engine Engineering teams is expected. What you will do Yield optimization and pricing models: Design and implement machine learning models for auction pricing, bid shading, floor price setting, and yield management across programmatic inventory. Who succeeds in this role Success in this position requires strong analytical rigor, practical machine learning engineering skills, and a genuine interest in both data science and engineering challenges. The role is based in New York, Seattle, or Vancouver, BC.

Join our innovative team at Speechify as a Software Engineer specializing in Data Infrastructure & Acquisition. In this role, you will be instrumental in building and optimizing our data systems to enhance user experiences and drive our technology forward. We are looking for a passionate engineer who thrives on challenges and is eager to contribute to our mission of transforming the way people consume information.

Join Databricks, an innovative leader in data and AI, on our mission to simplify access to data and AI technologies. We are dedicated to transforming industries, from revolutionizing transportation to advancing medical breakthroughs, by providing the world's foremost data and AI infrastructure platform. Our engineering-driven culture fuels our relentless pursuit of solving technical challenges, whether it's enhancing the user experience with next-gen UI/UX or expanding our infrastructure to support millions of virtual machines.As we establish our new R&D center in Vancouver, we are on the lookout for exceptional engineers to help us democratize data and AI. This site is poised to become a cornerstone of product innovation at Databricks, with several strategic initiatives underway.The Vancouver team will focus on key areas, including:Log Analytics - Tackling the challenges of real-time petabyte-scale log analysis, encompassing the entire data processing pipeline from ingestion to user experience.AI/BI - Our AI/BI product is revolutionizing business intelligence with unmatched adoption rates, enabling rich dashboarding and advanced visualizations.Unity Catalog Business Semantics - Governing and managing enterprise data context through our innovative Unity Catalog, enhancing data modeling and AI enablement.Databricks Apps - Contributing to one of our fastest-growing products, with opportunities to work on low-level platform components and AI-driven app builder agents.

Data Engineer (Azure / Databricks / Python)About UsAt Two Circles, we are a leading Sports & Entertainment Marketing firm dedicated to enhancing audience engagement and driving revenue growth. By leveraging deep insights into fan behavior, we empower our clients to effectively connect with their audiences, amplifying both consumer and B2B revenues. Our trusted platforms and services cater to an impressive roster of over 900 clients worldwide, including renowned names like the English Premier League, Red Bull, UEFA, VISA, the NFL, Nike, and Amazon. With a workforce nearing 1000 and 14 global offices, we are committed to delivering innovative solutions to sports and entertainment entities of all sizes.Your RoleWe are seeking a passionate Data Engineer to join our dynamic team of over 100 Data & BI Engineers, contributing to our Audience Intelligence Platform. In this pivotal role, you will play a key part in developing a cutting-edge data management and analytics platform tailored for the sports industry. You will harness the latest technologies to design, build, and optimize scalable data solutions, helping teams, leagues, and organizations unlock the full value of their data. If you thrive in a fast-paced environment and are eager to make a significant impact in the sports sector, we want to hear from you!Key ResponsibilitiesDesign, develop, and test scalable data platform solutions in Azure, utilizing tools such as ADF, Databricks, and Function Apps, with a focus on Python.Create high-quality data products, ensuring efficiency, reliability, and performance across our data pipelines.Collaborate closely with product and marketing teams to deliver data-driven insights and impactful solutions that drive business success.Write clean, maintainable code adhering to best practices and development frameworks, upholding robust data engineering standards.Continuously enhance and optimize data workflows, monitoring performance and implementing advancements to foster innovation.

At ZoomInfo, we are committed to accelerating your career. We foster a fast-paced, innovative environment that empowers you to deliver exceptional results. You'll collaborate with passionate teammates who challenge and support one another, celebrating successes together. With advanced tools to enhance your impact and a culture that champions ambition, you'll not just participate—you'll drive change swiftly.About the RoleWe are on the lookout for a Senior Data Systems Analyst who will become the authority on our data pipeline—an intricate system responsible for ingesting, processing, and profiling millions of company records that fuel our customers' go-to-market strategies.In this pivotal role, you will develop profound knowledge about our data flow from acquisition through profiling and output. You'll analyze code to comprehend data transformations and system dependencies, contribute valuable insights to design discussions with Engineering and Product teams, and influence the advancement of our next-generation data infrastructure. As you gain expertise in our systems, you will spearhead strategic data enhancement initiatives that require a blend of systems thinking and innovative problem-solving.This position transcends mere dashboard creation or SQL report generation; it's about comprehensively understanding data systems at an architectural level, addressing complex data challenges, and ensuring our pipeline infrastructure evolves continuously to satisfy customer demands and sustain our competitive edge.You will collaborate closely with fellow data analysts during a dynamic infrastructure transition phase. As systems stabilize and your expertise grows, you will take on increased responsibility for the pipeline architecture and strategic initiatives. This role offers significant growth potential for an individual eager to become the go-to technical expert in company data systems.

Join Huawei Canada as a Senior Engineer in our dynamic Vancouver office, where innovation meets technology.About Our Team:The Computing Data Application Acceleration Lab is pioneering a global data analytics platform through three specialized teams that leverage cutting-edge programming technologies. Our team is dedicated to full-stack innovations, focusing on software-hardware co-design and optimizing data efficiency at both storage and runtime layers. We are at the forefront of developing next-generation GPU architectures for diverse applications, including gaming, cloud rendering, VR/AR, and Metaverse technologies.Our mission is to enhance algorithm performance and training efficiency across various industries, ensuring long-term competitiveness in the market.About the Role:Continuously monitor global AI theory and technology trends, generating research reports and proposals to advance the Ascend system.Lead and engage in research focused on algorithms that accelerate the training of AI models driven by market demands (e.g., CV/NLP/GNN), achieving or surpassing state-of-the-art accuracy. Develop proofs of concept for various algorithms, including optimizers, loss functions, new model architectures, mixed precision, model compression, and learning technologies such as meta-learning.Publish high-quality AI research papers as needed and represent Huawei at conferences to enhance visibility for our Ascend products. Pursue high-value patents on critical algorithms and processes that have significant business potential.Collaborate with other departments and teams from Huawei's global research centers to foster innovation.Assist the team lead in project planning and defining the roadmap for technology and product development.The salary for this role ranges from $121,000 to $230,000, based on education, experience, and proven expertise.

Join our dynamic team at System Canada Technologies as a Senior Data Integration Analyst, where you will play a pivotal role in driving data integration strategies that empower our clients' success. You will analyze complex data sets, design integration solutions, and collaborate with cross-functional teams to ensure seamless data flow across various systems.This is an exciting opportunity for professionals looking to make a significant impact in the field of data analytics. You will leverage your expertise to enhance data quality, optimize processes, and contribute to innovative solutions that align with our business objectives.