Data Engineer

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 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 data pipelines that adapt to evolving business requirements Work with cross-functional partners to gather and deliver on analytical needs Support and improve data infrastructure, ensuring reliable access for analytics and reporting Impact The solutions built in this role enable Asana to make informed, data-driven decisions. By maintaining effective and reliable data systems, the Senior Data Engineer helps ensure that analytics and reporting are accessible and trustworthy across the company.

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.

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.

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.

Join Hootsuite as a Data Engineering Intern/Co-op for Summer 2026 and immerse yourself in the dynamic world of data analytics and engineering. Work alongside a talented team, gaining hands-on experience in building data pipelines, optimizing data processes, and leveraging the latest technologies in data management. This internship is a fantastic opportunity to apply your skills in a real-world environment and make a significant impact on our data-driven initiatives.

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.

Lead Data Engineer - Azure, Databricks, PythonAbout UsAt Two Circles, we are pioneers in the Sports & Entertainment Marketing industry, dedicated to amplifying audiences and enhancing revenue streams. Our deep understanding of fan behavior allows us to empower our clients to connect with their audiences more effectively. We collaborate with renowned organizations such as the English Premier League, Red Bull, UEFA, VISA, the NFL, Nike, and Amazon, providing insights that drive growth in both direct-to-consumer and B2B sectors. With a global presence encompassing nearly 1,000 professionals across 14 offices, we are committed to delivering innovative solutions to sports and entertainment businesses worldwide. Your RoleWe are seeking an exceptional Data Engineer to join our dynamic team of over 100 Data & BI Engineers, focusing on our Audience Intelligence Platform. In this position, you will be instrumental in developing a cutting-edge data management and analytics platform tailored for the sports industry. You will leverage advanced technologies to design, create, and optimize scalable data solutions that enable teams and organizations to harness the full potential of their data. If you are passionate about data engineering and thrive in a collaborative and fast-paced environment, we encourage you to apply! Your responsibilities will evolve as you grow, starting with:Designing, building, and testing scalable data platform solutions within Azure, utilizing tools such as ADF, Databricks, and Function Apps, with expertise in Python.Creating high-quality data products that ensure efficiency, reliability, and performance across our data pipelines.Collaborating closely with product and marketing teams to deliver actionable data-driven insights and solutions that are of significant business value.Writing clean, maintainable code in accordance with industry best practices and development frameworks, upholding robust data engineering standards.Continuously enhancing and optimizing data workflows, monitoring performance metrics, and implementing innovations to drive progress.

Join Parallel Domain, where we are revolutionizing the field of autonomy, robotics, and computer vision with our cutting-edge simulation and digital twin technology. Our Replica product is at the forefront of creating expansive, photorealistic digital twins of real-world environments, essential for testing, validating, and developing autonomous systems. If you are passionate about machine learning and eager to contribute to the future of technology, we invite you to apply!

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.

About this OpportunityJoin a global leader in networking that is transforming how businesses manage their networks. Our AI Core group is at the forefront, developing pioneering platforms across various domains such as Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and fine-tuning large language models. Here, innovation is not just welcomed; it is a core expectation.The RoleAs a pivotal AI ML Engineer, you will take on a leadership role in shaping our machine learning strategy. You'll be responsible for creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time.Key ResponsibilitiesDefine and lead the technical vision for machine learning solutions across our product portfolio.Manage the complete software development lifecycle, overseeing everything from design and code reviews to deployment and operational management.Architect robust, scalable microservices, including both synchronous and asynchronous web services.Develop real-time inference pipelines for complex models leveraging tools like Triton, TensorRT, and mixed-precision computing.Mentor fellow engineers, establish technical direction, and cultivate a strong team culture.Promote engineering excellence, system resilience, and continuous improvement in operations.

Become a Data Cloud Platform Engineer (DBA) at INTRALOT - AWS InfrastructureAt INTRALOT, we are dedicated to revolutionizing the gaming landscape through cutting-edge innovation and technology. Our global footprint, rich cultural diversity, and dynamic workforce form the bedrock of our people-centric approach. We are on the lookout for a Data Cloud Platform Engineer (DBA). Are you an enthusiastic professional ready to elevate your career? At INTRALOT Canada, we are redefining the gaming sector with scalable, dependable, and state-of-the-art systems. This is your opportunity to contribute significantly and evolve with a vibrant team that champions innovation and collaboration.Your Responsibilities:As a Data Cloud Platform Engineer, you will oversee the daily operations, stability, and ongoing enhancement of existing database platforms hosted on AWS. Your role will focus on ensuring databases are secure, highly available, efficient, and recoverable, thereby supporting production workloads and mission-critical applications.Your focus will include operational excellence, troubleshooting, automation, and ongoing optimization while collaborating closely with DevOps, Platform, and application teams. Manage & Support Existing AWS DatabasesAdminister and maintain production databases on Amazon RDS, Aurora, and self-managed databases on EC2.Ensure database integrity, availability, and performance across various environments.Address database-related incidents, alerts, and service interruptions. Monitor, Troubleshoot & Enhance PerformanceOversee database health, performance, capacity, and replication utilizing CloudWatch, Performance Insights, and native database tools.Identify and rectify performance challenges such as slow queries, locking, resource contention, and replication delays.Conduct capacity planning and proactive tuning. Security, Backup & Data ProtectionImplement database security best practices (access controls, encryption at rest/in transit, credential management).Administer and validate backup, restore, and disaster recovery protocols.Ensure compliance with audit and data protection standards. Automation & Infrastructure as CodeEnhance database provisioning and configuration utilizing Infrastructure as Code methodologies (Terraform, CloudFormation).

Role Overview AECOM is hiring a Data Center Design Manager in Vancouver. This role leads a team focused on designing and developing data center facilities that meet demanding standards for efficiency and performance. What You Will Do Oversee the full design process for data center projects, from concept through delivery Guide and support a multidisciplinary team of engineers and designers Work closely with clients to understand their requirements and deliver customized solutions Champion sustainability and drive technological improvements in every project About AECOM AECOM is committed to advancing sustainable, high-performance data center design. The team values collaboration, technical excellence, and continuous improvement.

Join INTRALOT as a Data Cloud Platform Engineer (DBA) focusing on AWS Infrastructure!At INTRALOT, we are redefining the gaming landscape through advanced technology and innovative solutions. Our global footprint, vibrant culture, and agile teams lay the groundwork for a strategy centered around our people. We're on the lookout for a Data Cloud Platform Engineer (DBA). Are you an enthusiastic professional eager to elevate your career? At Intralot Canada, we are revolutionizing the gaming sector with dependable, scalable, and state-of-the-art systems. This is your opportunity to contribute significantly and evolve with a team that values creativity and teamwork.Your Role:As a Data Cloud Platform Engineer, your primary responsibility will be to oversee the daily operations, stability, and enhancement of our existing database platforms deployed on AWS. You will ensure that our databases are secure, highly available, efficient, and recoverable, thereby supporting production workloads and mission-critical applications.This role emphasizes operational excellence, troubleshooting, automation, and incremental optimization, necessitating close collaboration with DevOps, Platform, and application teams. Your Responsibilities:Operate & Support Existing AWS Databases:Maintain and support production databases hosted on Amazon RDS, Aurora, and self-managed databases on EC2.Guarantee database availability, integrity, and performance across diverse environments.React promptly to database-related incidents, alerts, and service disruptions. Monitor, Troubleshoot & Optimize Performance:Oversee database health, performance, capacity, and replication using CloudWatch, Performance Insights, and native database tools.Identify and rectify performance bottlenecks such as slow queries, locking, resource contention, and replication lag.Conduct capacity planning and proactive performance tuning. Security, Backup & Data Protection:Implement database security best practices (access controls, encryption at rest/in transit, credential management).Manage and validate backup, restore, and disaster recovery protocols.Ensure compliance with audit and data protection mandates. Automation & Infrastructure as Code:Enhance database provisioning and configuration using Infrastructure as Code practices where applicable (e.g., Terraform).

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.

Join a transformative journey in mining. At MineSense Technologies, we recognize that while metals play a vital role in our world, the mining industry has historically struggled with challenges related to waste, sustainability, and operational inefficiencies. We are pioneers in this space, innovating solutions that minimize mining waste and environmental harm while maximizing profitability and efficiency. Supported by leading venture capital and government initiatives, and acknowledged by industry leaders in technology and sustainability, MineSense is reshaping the future of mining for both people and the planet.We are excited to welcome a Mining Data Analyst to our GeoScience team. This position will report directly to the Manager of GeoScience and will be based in our Vancouver office. The ideal candidate should possess a keen interest in comprehensive data analysis and statistics within the mining sector. You will engage with clients around the globe, helping them integrate MineSense solutions into their ore control practices and demonstrating the significant value of our innovative systems. If you are passionate about data, enjoy collaborating with diverse teams, and have a background in mining, geology, or geophysics, we encourage you to apply!

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.

Machine Learning Innovator: At AlgaeCal, we don't just work with data; we transform it into actionable insights that shape our strategies, optimize efficiencies, and drive growth. As a Data Scientist Intern, your predictive models will play an integral role in advancing our mission to combat bone loss, impacting millions of lives.Our team thrives on uncovering hidden patterns and validating hypotheses. If you're passionate about integrating machine learning into real-world AI applications, we want to hear from you.Join us and be part of something meaningful. With an estimated 54 million people in the U.S. facing low bone density, your work here will provide hope through our clinically-backed natural solutions.