Staff Software Engineer, API

Join MongoDB as a Staff Engineer focusing on Data Migration, where you will play a crucial role in helping enterprises seamlessly transition their data to cloud-based environments. Your expertise in data management and migration processes will be pivotal in enhancing our clients' experiences and ensuring data integrity.

Asana seeks a Staff Data Scientist in Vancouver, BC. This role centers on advanced analytics and machine learning to help guide decisions across the company. Role overview Work will span both product development and operational improvements. The goal is to generate insights that help shape Asana’s products and make them more effective for users. What you will do Apply machine learning and analytics to company data Support teams with insights that influence product direction Contribute to operational improvements using data-driven findings Location This position is based in Asana’s Vancouver, BC office.

About FoundThe self-employed workforce is a vibrant and rapidly expanding community of 60 million Canadians. However, self-employment poses unique challenges such as managing taxes, accounting, bookkeeping, and business banking. Found is here to address these challenges.At Found, we are dedicated to creating innovative tools that provide self-employed individuals with the security and peace of mind typically reserved for larger corporations. Our business banking solutions automate tax management and expense tracking, empowering small business owners to focus on their passions rather than their financial burdens.We invite compassionate, resourceful, and driven individuals to join us in establishing a comprehensive safety net for self-employed people.About This RoleOur engineering team plays a crucial role in transforming our product ideas into solutions utilized by tens of thousands of users weekly. We oversee the entire lifecycle from product development to ensuring robust and efficient technical operations.The Platform team focuses on maintaining the reliability and security of our systems while delivering an exceptional experience for both users and engineers. This small yet impactful group has a wide-ranging influence across reliability, security, compliance, and developer experience, supporting an engineering organization of over 30 members.We are in search of a Staff Software Engineer who excels at balancing rapid progress with safety, possesses a deep understanding of SLOs and SLAs, and has a proven track record of scaling systems effectively.We highly value engineers who can drive technical vision, mentor peers, and design scalable systems to match our growth trajectory. If you have questions, please include them in your application.Daily ResponsibilitiesArchitect future iterations of our critical systems such as databases and distributed jobs while considering our scaling requirements.Design and implement developer tools that enhance safety, reproducibility, and ease of deployment.Champion excellence in observability and monitoring, guiding incident response to ensure swift issue resolution and a positive on-call experience.Collaborate with engineering teams to uphold high technical quality across our systems while addressing technical debt, upgrades, and platform enhancements.Mentor engineers on designing reliable, fault-tolerant systems that can scale effectively.

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

About Us At Prenuvo, we are on a mission to innovate healthcare through technology. We are seeking a passionate Staff Engineer to join our dynamic Patient Platform team. In this pivotal role, you will be instrumental in shaping the systems that facilitate patient interactions within our health technology platform, including APIs, orchestration services, and communication infrastructure (Email, SMS, notifications). As we rapidly grow and modernize our platform, you will play a key role in enhancing our event-driven architecture to accommodate increasing patient volume and complex communications. This position is crucial for guiding the evolution of our backend systems as we scale. In the capacity of Staff Engineer, you will serve as the technical leader for the Patient Platform domain, translating architectural vision into scalable, production-ready distributed systems alongside cross-functional teams. You will spearhead the advancement of our API-first architecture—defining API contracts and transitioning tightly coupled services into scalable, event-driven components. This opportunity is ideal for a senior technical leader who thrives in uncertain environments, approaches challenges pragmatically, and enjoys merging hands-on engineering with architectural strategy. Your efforts will enhance the reliability, observability, and fault tolerance of our distributed systems, reinforce our patient communication platform, and design secure systems that manage sensitive patient and identity data in regulated settings. Furthermore, you will advocate for best practices in automated testing, CI/CD, and secure development while elevating engineering standards through mentorship and technical leadership. We prefer candidates based in Vancouver, BC, who can work in a hybrid environment. However, we are open to remote candidates across Canada. Join us in reshaping the future of proactive healthcare while collaborating with cutting-edge technology and high-performing teams dedicated to making a positive impact on people's lives!

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.

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.

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.

Reddit is looking for a Staff Engineer to work on Ads Trust, Fraud, and Safety. This remote role is open to candidates based in British Columbia, Canada. Role focus This position centers on strengthening the integrity of Reddit’s advertising platform. The Staff Engineer will take on projects that detect and prevent fraudulent activity, safeguard user safety, and uphold trust for both users and advertisers. Key responsibilities Design and implement technical solutions to identify and stop fraud on the ads platform Develop systems that protect user safety and maintain community trust Contribute to improvements that shape how advertisers and users interact with Reddit Location This is a remote position for candidates residing in British Columbia, Canada.

Okta secures digital identities for people and AI, providing trusted infrastructure to organizations worldwide. The company’s work has a direct impact on identity protection in today’s digital world. Okta values decisive leaders who are committed to solving complex security challenges. Role overview The Lead Staff Detection & Response Engineer joins the Security Operations team in Vancouver, Canada. This senior role combines deep technical skill with strategic influence, shaping security decisions across teams and strengthening Okta’s global security posture. The position advances defense-in-depth initiatives and ensures security priorities align with business goals. What you will do Lead threat-hunting operations: Drive advanced, hypothesis-driven investigations even when intelligence is incomplete or unclear. Develop and improve methodologies for the broader security team. Detection engineering: Build new detection mechanisms, solve complex querying challenges, and set standards for detection engineering across the organization. Architectural guidance: Design and validate preventive control chains, and help select and architect new security solutions. Incident response: Act as technical lead during major security incidents. Investigate threats in unconventional environments, using established frameworks and professional networks. Global collaboration: Okta’s operations run 24/7. This role requires availability during crises outside regular business hours and involves working closely with colleagues worldwide, contributing thought leadership across the organization.

Join Databricks, a pioneering force in data and AI, as we strive to redefine the way businesses leverage data insights! Our mission spans from revolutionizing transportation to enhancing medical advancements through our unparalleled data and AI infrastructure platform. With a foundation built by engineers and a relentless focus on customer needs, we tackle complex technical challenges, from crafting next-generation UI/UX to scaling our services across vast virtual environments. Our journey is just beginning. With the establishment of our Vancouver R&D center, we are expanding our footprint in the Pacific Northwest and are on the lookout for exceptional engineers to help us democratize data and AI. The Vancouver site is poised to become a vital hub for product innovation at Databricks. We are excited to bring strategic initiatives to this location and have multiple roles available across various teams, including: Log Analytics - As more customers utilize Databricks for real-time analysis of petabyte-scale logs, our team faces new challenges across the data processing pipeline, including ingestion, indexing, and processing. AI/BI - Our AI/BI solutions are transforming Business Intelligence for the AI era, with remarkable adoption rates (98.7% among our data warehousing clients). Join us to work on advanced dashboarding, visualizations, and innovative talk-to-your-data functionalities. Unity Catalog Business Semantics - Context is essential for AI, and our Unity Catalog ensures that enterprise data context is meticulously governed and managed. Our recent launch of the Unity Catalog Metrics marks a significant milestone, with more innovations ahead for this team focused on distributed systems, data modeling, governance, and AI integration. Databricks Apps - As one of our fastest-growing products, Databricks Apps has over 2,500 users creating more than 20,000 apps. This team works on low-level platform components, including Kubernetes and networking, while heavily investing in AI-driven app builders.

Role Overview MongoDB is looking for a Staff Engineer focused on Code Generation. This position centers on building and improving tools that support code generation for MongoDB's database products. The work directly impacts how developers create and maintain software, aiming to make their workflows more efficient and productive. Location This role is open to candidates based in Alberta, British Columbia, Manitoba, Nova Scotia, Ontario, or Quebec.

The Application Modernization Platform (AMP) team is addressing one of the industry's most pivotal challenges: harnessing Generative AI to evolve rigid, legacy applications into dynamic, microservices-based architectures powered by MongoDB. We are developing a sophisticated, SaaS-like platform that integrates both the 'brain' (multi-agent reasoning and orchestration) and the 'hands' (deployment platform and modernization toolkit). This solution necessitates a solid platform foundation and infrastructure designed for a 'build once, run anywhere' model, guaranteeing seamless functionality regardless of a client's security or network constraints. A major challenge lies in fine-tuning our tools for each customer's distinct tech stack and restrictive environments while ensuring they remain easily extensible and scalable for widespread application modernization challenges. We are searching for an engineering leader for this high-visibility project. This role involves defining the overarching strategy and technical direction across all AMP engineering pillars, leading the deployment of solutions to complex application modernization challenges, and delivering an enterprise-grade product. The leader will strive to minimize deployment friction, adhere to customer compliance requirements, and shape the future of how global enterprises utilize Generative AI. The ideal candidate is a hands-on technical leader adept at leveraging Generative AI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly manage the entire software development lifecycle. This position will be based on North America's West Coast (PST) and offers a hybrid working model.

Join Databricks, where our mission is to simplify and democratize data and AI. We are pioneering the next wave of technological advancements, from transforming transportation to accelerating medical breakthroughs. Our world-class data and AI infrastructure platform empower customers to harness deep data insights and enhance their business operations. With a foundation built by engineers who are dedicated to customer satisfaction, we embrace every challenge, from crafting next-gen UI/UX to scaling our services and infrastructure across millions of virtual machines. The journey has just begun!As a Fullstack Software Engineer, you will collaborate with your team and product management to distill complex data insights into simple, user-friendly experiences. We seek engineers driven by a passion for customer-centric solutions, capable of taking ownership of the entire product lifecycle and user experience beyond mere technical implementation. You will play a critical role in establishing the groundwork for building robust, scalable, and delightful products.Our Vancouver location marks the newest R&D hub for Databricks, allowing us to expand our footprint in the Pacific Northwest. We are actively seeking exceptional engineers to join us in our quest to democratize data and AI. We envision this site becoming a pivotal center for product innovation at Databricks, with several strategic areas being developed here, including:Log Analytics - Our clients increasingly rely on Databricks for real-time analysis of petabyte-scale logs, presenting new challenges across the data processing pipeline, including ingestion, indexing, processing, and enhancing user experience.AI/BI - AI/BI is reshaping Business Intelligence for the AI era. Since its launch last summer, adoption has soared (with 98.7% of our data warehousing customers utilizing AI/BI). Our innovative products feature rich dashboarding, advanced visualizations, and powerful talk-to-your-data solutions, encompassing exciting technical challenges across the entire stack.Unity Catalog Business Semantics - In the world of AI, context is paramount. Unity Catalog Business Semantics ensures that enterprise data context is effectively governed and managed. After launching our first Semantics modeling capability, Unity Catalog Metrics, at the recent Data + AI Summit, we have ambitious plans for the future. Engineers in this team navigate 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...

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.

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!