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We are seeking a talented Data Engineering Developer to join our dynamic team at cima2. In this role, you will contribute to the development of cutting-edge data engineering solutions that drive our business forward. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines that facilitate data management and analytics.
cima2 is a leading technology company based in Québec, dedicated to delivering innovative solutions that empower businesses through data optimization. Our team of experts is passionate about harnessing the power of data to drive business success and foster growth.
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Are you a passionate sound engineering expert looking to influence the future of AI technology? As large-scale language models transition from sophisticated chatbots to essential tools for audio innovation, your expertise is crucial. By providing high-quality training data, you will empower tomorrow's AI to assist engineers in designing studio systems, optim…
About FaireFaire is a pioneering online wholesale marketplace that champions the belief in localized commerce. Our mission is to empower independent retailers globally, who collectively generate more revenue than giants like Walmart and Amazon, by providing them with the technology, data insights, and machine learning tools they need to thrive. Imagine your favorite local boutique — we connect them with exceptional products from around the world, leveling the playing field against large retail and e-commerce giants. We believe that with the right tools, small businesses can compete effectively in today's market.By nurturing the growth of independent businesses, Faire is driving positive economic impact in local communities worldwide. We invite innovative, resourceful, and passionate individuals to join our mission as we lead the shop local movement. If you share our belief in the power of community, we would love to welcome you to ours.About this RoleOur Engineering organization is responsible for the software that powers our marketplace. The Platform group supports various teams across Faire, including Product Engineering, Data Science, Product Management, Strategy, Analytics, and Finance, ensuring they can perform at their best without worrying about the underlying infrastructure. We empower product engineering teams to develop and operate software with unparalleled speed and quality, emphasizing strong engineering practices, an excellent developer experience, security, testability, ease of maintenance, and scalability to serve millions of users. We are committed to best practices to ensure optimal availability and performance.This role is ideal for a seasoned technical leader in the data domain, with influence across multiple Platform and Product groups.Within the Platform group:The Data Infrastructure team is tasked with building and managing a secure, reliable, and cost-effective platform for data ingestion, storage, compute, orchestration, and governance.The Analytics Platform team focuses on creating effective data warehousing capabilities, essential data assets, and tools designed to expedite data-driven analytics, with a goal of minimizing the time from data acquisition to insights.Additionally, this role involves influencing and collaborating with all data and analytics functions at Faire. The Product Analytics Engineering (PAE) function enables domain...
Please submit your CV in English and indicate your English proficiency level. toloka-ai, together with Mindrift, offers project-based freelance work for professionals interested in AI systems related to physics and optics. This is a remote contract role for candidates based in Manitoba, Canada. The position centers on evaluating and improving AI systems by designing and solving advanced optical and physics problems. This is not a permanent staff position; work is assigned according to current project needs. Key Responsibilities Design original optical problems that reflect real-world physics research workflows Create computationally intensive challenges that go beyond manual calculations Develop problems requiring advanced reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problem scenarios on actual research or practical applications in optics and physics Clearly document each problem statement and provide accurate, verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field Minimum of 2 years of professional experience in applied, research, or teaching roles Proficiency with numerical simulation methods Experience designing problems based on real research processes in physics Creative approach to developing problems across various physics domains Familiarity with modeling and approximation techniques in physics Strong written English skills at C1 level or above How to Join Apply Meet qualification criteria Join a project Complete assigned tasks Receive compensation Project Commitment During active project phases, contributors usually spend 10–20 hours per week. Workload may vary and is not guaranteed outside of these periods. Compensation Earnings can reach up to $35 per hour, depending on expertise and pace. Project rates vary based on complexity, scope, and required knowledge. Other projects on the platform may offer different compensation depending on their requirements.
Rivian and Volkswagen Group Technologies
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.
Borrowell
About Borrowell:At Borrowell, our mission is to empower Canadians to take charge of their financial futures. We provide essential tools and insights to help individuals understand, build, and utilize their credit effectively.With the trust of 1 in 10 Canadians, Borrowell supports over 3 million members with comprehensive credit monitoring and tailored insights. Our innovative offerings, including Credit Builder and rent reporting, enable consumers to enhance their credit profiles, granting access to a broader range of financial products at more competitive rates. Furthermore, we provide personalized recommendations for financial products from Canada’s most trusted providers, aligned with each member's credit profile and financial objectives.Our diverse and inclusive team is united by a passion for making a significant impact in the lives of Canadians. We foster a collaborative culture rooted in humility and innovation. If you aspire to join a company that is reshaping the financial landscape and empowering Canadians to reach their financial goals, we encourage you to consider career opportunities at Borrowell. Together, we can help Canadians feel confident about their money.About the Role:As a Data Engineer, you will be instrumental in building and maintaining our data infrastructure while leveraging cutting-edge technologies such as Snowflake, Apache Airflow, DBT, serverless functions, and Docker. You will collaborate closely with data, engineering, and business teams to create solutions that drive impactful business analytics, insights, and data-driven applications.In your first year, you can anticipate:Creating end-to-end ELT pipelines that consolidate data from various sources to support a reliable and scalable data platform.Designing and developing high-performance, reusable data models that effectively manage large datasets and cater to analytics, marketing, and machine learning applications.Building and maintaining APIs for seamless data sharing across systems, including deployment and serving of machine learning models in production.Collaborating with engineering, data, and business teams to implement impactful data engineering initiatives.Contributing significantly to the design and execution of core data infrastructure strategies.
SkillersZone LLC
About SkillersZone LLC:SkillersZone LLC stands at the forefront of affiliate marketing and recruitment software solutions. Our mission is to empower businesses by enhancing their marketing and recruitment processes through innovative and user-friendly technology. We are on the lookout for a skilled Data Engineer to join our dynamic team. In this role, you will be instrumental in developing the architecture necessary for the collection, storage, and processing of large datasets, ensuring that we have reliable access to data that drives informed decisions and fosters innovation.Position Overview:The Data Engineer will take charge of designing, building, and maintaining robust data pipelines, ensuring efficient data collection, storage, and processing across various systems. You will collaborate closely with data scientists, analysts, and other key stakeholders to guarantee that data is accessible, accurate, and reliable for business analysis and strategic decision-making.
SkillersZone LLC
About SkillersZone LLC:SkillersZone LLC stands at the forefront of affiliate marketing and recruitment software solutions, dedicated to transforming how businesses enhance their marketing and recruitment strategies through cutting-edge, intuitive technology. We are on the lookout for a skilled Data Engineer to become part of our dynamic team, tasked with developing the core infrastructure necessary for the efficient collection, storage, and processing of extensive data sets. Your expertise will play a crucial role in ensuring we have dependable access to the data needed to fuel our decision-making and innovation initiatives.Position Overview:As a Data Engineer, you will be entrusted with the design, construction, and maintenance of data pipelines that guarantee the seamless collection, storage, and processing of data across various systems. Collaborating closely with data scientists, analysts, and other key stakeholders, you will ensure that our data is accessible, accurate, and reliable for pivotal business analysis and informed decision-making.
mqreferrals
As the Manager of Data Infrastructure at mqreferrals, you will be pivotal in shaping our data engineering landscape, directly reporting to the Director of Data Engineering. In this dynamic leadership role, you will oversee a dedicated team of 5-6 engineers tasked with managing critical data platforms that underpin our AI and analytics initiatives. This hands-on position blends technical expertise with effective people management, where you will mentor your team, facilitate agile delivery processes, and integrate product-oriented thinking into our infrastructure approach. Your leadership will be crucial in executing our data strategy and ensuring the operational excellence of platforms that handle billions of transactions each month.We embrace a Flexible First work culture, allowing this role to be performed remotely from anywhere in Ontario and British Columbia, Canada, with quarterly travel to the United States required. Join us on this exciting journey!
Join Mural as an Engineering Manager specializing in Data Modeling. In this pivotal role, you will lead a team of skilled engineers to develop and enhance data modeling strategies, ensuring robust data architecture and management across our platforms. Your expertise will play a critical role in driving innovation and optimizing our data-driven initiatives.
System Canada Technologies
Join our dynamic team as a Java PL/SQL Developer. This full-time position is based in Toronto, Ontario, where you will leverage your extensive experience in both Java and Oracle PL/SQL to design, develop, and optimize robust software solutions. Your expertise will contribute significantly to our mission of delivering high-quality technology services.
Jobgether is looking for a Senior Data Engineer based in Canada to help shape and maintain the company’s data infrastructure. This position works closely with teams across the organization to keep data flowing smoothly between platforms and systems. What you will do Design, build, and maintain data pipelines that support analytics and business operations Work with large datasets, focusing on efficiency and scalability Collaborate with colleagues from different departments to integrate data sources Monitor and improve data quality across the organization Apply best practices in data management and architecture Requirements Strong experience in data engineering, including pipeline optimization and data architecture Comfort working with large-scale datasets Ability to collaborate with cross-functional teams
Chainalysis, Inc.
Join Chainalysis, where our engineering team is dedicated to tackling the most complex technical challenges while developing innovative products that foster trust in cryptocurrencies. With a global presence that spans the UK, Denmark, Canada, and the USA, we thrive on the stimulating work we do alongside exceptionally skilled colleagues. As the industry evolves daily, our mission is to create a versatile platform that can swiftly adapt to these rapid changes.We are excited to welcome a Senior Data Platform Engineer to our Data Cloud team. This dynamic group drives innovation and unlocks new business avenues by enabling everyone at Chainalysis to efficiently discover, access, analyze, and leverage all available data. You will play a pivotal role in architecting and optimizing our extensive data storage, processing, and querying systems, which handle petabytes of data. If you are passionate about facilitating high-performance interactive analytics, developing real-time streaming data applications, and deploying scalable cloud infrastructure with enterprise-level reliability, we invite you to join our talented and expanding team!Key Responsibilities:Define the technical vision for the team, articulating the evolution of our data platform and architecture.Design, implement, and enhance our high-performance, scalable data serving platform for organizational and external data consumption.Create and optimize our scalable data storage and transformation platform supporting both batch and stream processing with over 100 million updates daily on datasets exceeding 100 billion rows.Establish seamless integrations between Data Cloud and various relational and NoSQL OLTP databases.Construct batch and streaming data pipelines for core blockchain datasets utilized throughout the company.Deploy scalable cloud infrastructure with enterprise-grade reliability, implement and maintain infrastructure automation and self-service solutions, and develop robust CI/CD pipelines.Ensure observability, security, and data governance measures are in place to maintain high-quality, efficient, and reliable data pipelines.Ideal Candidates Will Have:6+ years of experience as a Data Platform Engineer, Data Engineer, or Data Infrastructure Engineer, with hands-on skills in building and maintaining cloud-based data solutions.
MaintainX
MaintainX is the world’s leading platform for asset management and work intelligence in industrial and frontline environments. We offer a modern cloud-based IoT tool that enhances the reliability, safety, and operations of physical equipment and facilities. Our platform drives operational excellence for over 12,000 companies, including Duracell, Univar Solutions Inc, Titan America, McDonald’s, Brenntag, Cintas, Xylem, and Shell. Recently, we secured Series D funding of $150 million, bringing our total funding to $254 million and valuing the company at $2.5 billion. We are looking for a Senior Data Engineer to join our rapidly growing team. You will play a crucial role in the development and maintenance of the data platform that directly supports the MaintainX product while enabling internal analytics and business intelligence. Additionally, you will enhance the platform's capabilities and the tools used daily by our engineering teams. Your contributions will span the entire data platform, including batch, micro-batch, and streaming pipelines, deployment, governance, and development tools.
ABOUT YOUWe are in search of an experienced Senior Data Engineer who excels in problem-solving and is adept at balancing speed with reliability in dynamic environments. Your exceptional communication skills will allow you to navigate seamlessly between engineering teams and business stakeholders. A strong passion for data governance drives you to develop reliable, high-performance data systems. You thrive in collaborative settings, partnering with ML engineers, backend developers, and business associates to uphold data accuracy, performance, and security across our organization.ABOUT USXsolla is a pioneering global commerce company dedicated to providing developers with robust tools and services that tackle the unique challenges of the video game industry. From indie developers to AAA studios, we partner with game creators to facilitate funding, distribution, marketing, and monetization of their games. Rooted in a belief in the promising future of gaming, Xsolla is committed to connecting opportunities and continuously expanding resources for creators. Headquartered in Los Angeles, California, Xsolla operates as the merchant of record, having empowered over 1,500 game developers to reach a broader audience and grow their businesses globally. With diverse paths to profit and innovative solutions, we ensure developers have everything they need to succeed in their gaming ventures.For more details, visit us at xsolla.com.
Afresh Technologies
As a Data Engineering Manager at Afresh, you will lead a team of innovative data engineers in designing and implementing robust data solutions that drive business insights and operational efficiency. You will be responsible for overseeing data architecture, building data pipelines, and ensuring data quality across various platforms. Your expertise will be pivotal in shaping our data strategy and supporting the organization's growth.
Terawatt Infrastructure
Join Terawatt Infrastructure as a Senior Data Engineer, where you will play a pivotal role in shaping our data strategies and solutions. In this fully remote position, you will be responsible for designing, building, and maintaining robust data architectures that support our data-driven decision-making processes. Collaborate with cross-functional teams to ensure data integrity and availability while driving continuous improvement in our data management practices.
Movable Ink
Join Movable Ink as a Senior Engineer on our Data Platform team, where you will be instrumental in architecting and developing the systems that facilitate data flow across our organization. In this pivotal role, you will contribute to the creation and maintenance of a unified data platform that is responsible for ingesting, processing, and serving substantial volumes of data that underpin our innovative products. Collaborating with cross-functional teams in engineering, analytics, and infrastructure, you will design scalable data ingestion pipelines and backend services that seamlessly integrate data from diverse sources while ensuring reliability, governance, and high availability. Your expertise will guide the modernization of legacy data pipelines towards contemporary architectures, enhancing the cohesion of our products and services in their data access. Your contributions will significantly influence the evolution and enhancement of Movable Ink’s offerings.Key Responsibilities:Contribute to the design and implementation of robust data ingestion pipelines and infrastructure.Facilitate the migration of legacy data management processes to a new platform, ensuring minimal disruption for current data consumers.Establish and monitor SLIs and SLOs for the new data platform, utilizing dashboards and alert alerts to ensure optimal performance.Create a versatile data storage layer that accommodates various use cases, including transactional, analytical, and machine learning workloads.Develop comprehensive monitoring and incident response protocols for all data pipelines and services.Partner with product engineering, analytics, and machine learning teams to define data access strategies.
gomaterials
Join gomaterials as a Data Quality Intern for Fall 2026 and immerse yourself in a dynamic environment where data integrity is paramount. You'll have the opportunity to work directly with our data management team to ensure the accuracy and reliability of our data.This internship is an excellent opportunity for students or recent graduates looking to gain hands-on experience in data quality and analytics. You will collaborate with cross-functional teams, leveraging your analytical skills to contribute to important projects.
We encourage you to submit your CV in English and specify your level of English proficiency.At Mindrift, we connect talented specialists with exciting project-based AI opportunities for top-tier tech firms. Our focus is on testing, evaluating, and enhancing AI systems. Please note that participation is project-based and does not entail permanent employment.Opportunity OverviewWhile each project presents distinct challenges, contributors may be tasked with:Creating innovative optics problems that replicate genuine physics research workflows;Ensuring that these problems are computationally demanding and cannot be solved manually within feasible timeframes;Formulating problems that necessitate complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Drawing from authentic research dilemmas or practical applications in optics and physics;Clearly documenting problem statements and providing verified correct solutions.Ideal Candidate ProfileThis role is perfect for optical engineers who are open to part-time, non-permanent engagements. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;At least 2 years of professional experience, whether in applied work, research, or teaching;Proficiency in numerical simulation methodologies;The capability to design problems that reflect real-world physics research practices;Innovative thinking in problem development across various physics domains;Familiarity with physics modeling and approximation methods;Excellent written English skills (C1+).Application ProcessTo apply, simply follow these steps: Apply → Pass qualification(s) → Join a project → Complete tasks → Receive payment.Project Engagement ExpectationsFor this initiative, the expected workload is approximately 10–20 hours per week during active project phases, contingent upon the specific project requirements. This is an estimate and not a guaranteed workload.Compensation StructureContributors can earn up to $35 per hour, depending on their skill level and contribution pace. Please be aware that compensation varies across projects based on their scope, complexity, and expertise required. Different projects may present varying earning opportunities.
Thumbtack
About Thumbtack Thumbtack helps millions of people across the U.S. manage and improve their homes with confidence. The platform connects homeowners to a growing network of 300,000 local service providers, supporting everything from urgent repairs to major renovations. Thumbtack offers personalized guidance, AI-powered tools, and a streamlined hiring process, making it easier for users to decide what projects to tackle, when, and with whom. The company is committed to building resources that empower homeowners and service professionals alike. Data Science at Thumbtack The Data Science team at Thumbtack plays a central role in shaping business decisions using data. Team members work closely with other departments to solve complex analytical problems, such as optimizing pricing across hundreds of service categories, measuring the impact of new business models, and identifying early signals of high-quality customers. The group values intellectual curiosity, collaboration, and continuous learning. Role Overview: Data Scientist II, Marketplace This remote position based in Ontario focuses on the supply side of Thumbtack’s Fulfillment pillar. The Data Scientist II will work to capture richer data from professionals and integrate it into matching, pricing, and demand fulfillment models. The goal is to increase the marketplace’s intelligence and value for all users. The work is often open-ended and involves launching new initiatives, defining success metrics, running experiments, and evaluating scalability. What You Will Do Propose and conduct quantitative research on user behaviors, product workflows, and business trends. Partner with cross-functional teams to identify new opportunities and actionable next steps for product development. Design and analyze experiments and tests to draw causal inferences, collaborating with engineers, applied scientists, and economists. Work with product managers and engineers to define new features, including modeling scenarios for potential impacts.
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