Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Experience Level
Senior
Qualifications
Proven experience in full-stack development with a focus on Python and React. Strong understanding of web development principles and design patterns. Experience with RESTful APIs and microservices architecture. Familiarity with cloud platforms and DevOps practices. Excellent problem-solving skills and a collaborative mindset. Strong communication skills, both verbal and written.
About the job
jobgether is looking for a Senior Full-Stack Engineer with strong skills in Python and React. This position is based in Canada and focuses on building and improving web applications that support the company’s goals.
Role overview
This role involves designing and implementing web solutions, working closely with colleagues from different teams. The Senior Full-Stack Engineer will help ensure that applications are efficient and meet business requirements.
What you will do
Develop and maintain web applications using Python and React
Collaborate with cross-functional teams to deliver features and improvements
Mentor junior developers and support their growth
Conduct code reviews and encourage high standards in software development
Impact
Contributions in this role will shape both the product and the technology stack at jobgether. The Senior Full-Stack Engineer will help set best practices and influence the direction of future projects.
About jobgether
At jobgether, we are committed to fostering an inclusive and innovative work environment. Our mission is to connect talented professionals with exciting job opportunities, and we pride ourselves on our collaborative culture that encourages growth and creativity.
Senior Business Intelligence and Data Management ConsultantIn this pivotal role, you will engage in our business intelligence projects, leveraging modern BI tools and methodologies. Your expertise will enable you to identify the critical needs of business decision-makers and implement effective decision support systems to address those needs.
Role overview eqbank is looking for a Data Engineer based in Toronto. The main focus is on building and maintaining data pipelines that transform raw data into useful insights. These efforts help teams across the company use information to reach business objectives. What you will do Design and build data pipelines for efficient collection, processing, and storage Create analytics solutions that help drive business decisions Work with colleagues from different departments to understand data requirements and deliver results Contribute to improving how data is managed and used throughout eqbank Collaboration and impact This role involves close collaboration with teams from various parts of the business. The aim is to ensure data remains accurate, easy to access, and valuable for both daily operations and long-term planning.
At RAVL, we empower technologists to elevate their careers.Our mission is to seamlessly integrate strategy with execution, fostering deep connections with our team members and clients alike. We gauge our success by the enduring impact we create, focusing on delivering real, sustainable business outcomes.We are dedicated to leaving our clients in a better position than we found them, while cultivating an environment where our team members take pride in Building. Better.As a Data Engineer at RAVL, you will be responsible for designing, constructing, and managing the data pipelines and platforms that facilitate informed decision-making in contemporary organizations. Your role will require a blend of curiosity, technical expertise, and a commitment to delivery — transforming raw data into dependable, high-quality resources that enable insights, analytics, and machine learning. You will engage with various cloud environments, architecting data systems that are resilient, secure, and designed for scalability.
Narvar helps millions of consumers track packages, manage returns, and receive delivery updates through its network of over 1,500 brand partners. The company's data infrastructure ensures these post-purchase experiences run smoothly in the background. Role overview This fully remote Senior Software Engineer, Data position is open to candidates based anywhere in Canada. The role centers on developing and refining the data pipelines, platforms, and products that support analytics, machine learning, and tools for merchants. What you will do Design, build, and enhance data infrastructure, including ingestion, transformation, and analytics systems used by merchants. Make key architectural choices that shape how data moves and is processed at scale. Deploy production systems that handle both real-time and batch data for millions of users. Work with an AI-native mindset, using advanced coding tools to increase productivity and accelerate delivery. Location This is a remote role based in Canada.
Konrad Group, a digital consultancy based in Toronto, focuses on building digital products for clients worldwide. The team values analytical thinking, curiosity, and continuous learning while tackling complex business problems. Role overview The Senior Data Engineer develops and maintains scalable data platforms and pipelines. This position works closely with data analysts, scientists, and engineers to deliver secure and reliable data solutions. Key technologies include Azure Fabric, Databricks, and Snowflake. Main responsibilities Design and build scalable data pipelines and architectures. Create solutions using cloud platforms such as Azure Fabric, Databricks, and Snowflake. Optimize data workflows for reliability, scalability, and performance. Collaborate with internal teams to understand data requirements and deliver tailored solutions. Maintain data security and adhere to industry standards and best practices. Support data modeling, extraction, transformation, and loading (ETL/ELT) processes. Recommend strategies to enhance data quality and analytical capabilities. Location This position is based in Toronto.
Role overview Wabtec Corporation seeks a Senior Python Software Developer to join its AI team in Montréal. This position centers on designing and enhancing software tools that drive the team's artificial intelligence projects forward. Advanced Python programming is a must for success in this role. Responsibilities Build and maintain software tools used by the AI team Participate in projects aimed at improving operational efficiency Support ongoing technology initiatives that foster innovation Location This role is based in Montréal.
WHO ARE WE?Launch Potato is a thriving digital media enterprise that engages over 30 million monthly visitors through prominent brands like FinanceBuzz, All About Cookies, and OnlyInYourState.As the Discovery and Conversion Company, we are dedicated to connecting consumers with the world's leading brands via data-driven content and cutting-edge technology.Headquartered in South Florida, our remote-first team spans over 15 countries, fostering a high-growth, high-performance culture driven by speed, accountability, and measurable impact.WHY JOIN US?At Launch Potato, you will accelerate your career by taking ownership of outcomes, working swiftly, and making impactful contributions alongside a global team of high achievers.
Join Our Team as a Senior Platform Engineer (Python)About Us: As a leading B2B SaaS company focused on retail analytics, we empower brands and marketing teams to optimize their media campaigns and understand retail data without needing to write code. Our clients, including major players like Home Depot, rely on us for actionable insights that enhance their customer engagement and ROI.Work Environment: This role offers a hybrid work arrangement, with 95% remote work and monthly in-person meetings to foster collaboration among our Toronto-based team.Who We're Looking For: We are seeking a dynamic Senior Platform Engineer to contribute significantly to our Platform team, focusing primarily on back-end development with some responsibilities in infrastructure and DevOps.Key Responsibilities:API Development: Enhance platform scalability and data performance through innovative API designs.Integration Projects: Collaborate with industry giants like Meta, TikTok, and Snapchat on complex ad tech integrations.Task Management Optimization: Take charge of our async task management using Celery, focusing on improving concurrency and managing resource-intensive jobs.Why Work With Us?Our team thrives on collaboration, embracing complex challenges while exploring new technologies. We are committed to building long-term solutions, maintaining profitability, and ensuring quality in everything we do.
WHO ARE WE?Launch Potato is a thriving digital media company that engages over 30 million visitors monthly through our innovative brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.Our mission as The Discovery and Conversion Company is to connect consumers with top brands through insightful data-driven content and cutting-edge technology.With our headquarters in South Florida and a remote-first team spanning over 15 countries, we foster a high-growth, high-performance culture that prioritizes speed, ownership, and measurable impact for success.WHY JOIN US?At Launch Potato, you will have the opportunity to advance your career by taking ownership of outcomes, acting quickly, and making a significant impact alongside a global team of high achievers.
About Super.comAt Super.com, our mission is to enrich lives—both for our customers and our team members—enabling everyone to embrace all that life has to offer. We promise that working at Super.com goes beyond mere employment; it is a chance to unleash your potential, where growth and learning are celebrated, and your impact is tangible.We are not just a fast-paced, high-growth tech company; we genuinely care about our people and take career development seriously. Your career is important to us, and we strive to supercharge it through the incredible individuals, impactful work, and dynamic programs that define who we are.About the Role As a Senior Data Engineer, you will be an integral part of a high-performing team comprised of seasoned data professionals, directly reporting to an Engineering Manager. You will address the organization's most pressing technical challenges by delivering robust, scalable, and reliable solutions that align with our growth objectives.This role is a specialized position within our SWAT (SoftWare Adaptability Team). Your assignments will be dictated by the organization’s most urgent short-term needs (6 to 26 weeks). Success in this role demands a swift understanding of complex issues, effective collaboration with diverse stakeholders, and the design and implementation of high-quality, impactful data solutions. You will expertly balance the urgency of rapid delivery with the necessity of maintaining high-quality data outputs to maximize business value.What You’ll Be Working On:Design and implement efficient architectural recommendations, securing buy-in from stakeholders.Enhance, oversee, and mentor standards for code and infrastructure maintainability and performance through comprehensive documentation and peer reviews.Collaborate closely with analytics and business intelligence teams, as well as stakeholders from finance, sales, marketing, and product, to identify business data needs and produce processes that facilitate improved products and support growth initiatives.Champion data governance as a fundamental aspect of engineering workflows.Contribute to the evolution and scalability of our data platform, focusing on business growth and stability.
Full-time|$148.5K/yr - $181.5K/yr|Hybrid|Toronto, ON
At Relay, we empower self-made entrepreneurs with a digital banking platform that enhances financial clarity, confidence, and control. Our innovative approach transforms cash flow management from a source of stress into a powerful tool for business resilience. Our mission is to elevate the success rate of small businesses, moving beyond traditional banking limitations to enable growth and collaboration.We are seeking a Senior Data Engineer to play a pivotal role in scaling our data ecosystem during an exciting phase of growth. This is your chance to influence how we evolve our data and analytics stack, ensuring our teams have timely access to the right data for optimal decision-making.Note: Our team collaborates in a hybrid environment, working in the office three days a week (Tuesday to Thursday).Your Responsibilities:Design and implement data models using DBT within our Snowflake data warehouse, facilitating secure, privacy-preserving analytics.Ensure the scalability of technologies and processes that support our data platform as Relay grows.Develop data tools, workflows, and APIs for technical teams to access and engage with our data platform.Collaborate with stakeholders to resolve data-related technical challenges and support their infrastructure needs.Construct systems to monitor core KPIs, ensuring teams have the accurate, timely data necessary for effective operations.Partner with Trust, Security, and Governance teams to safeguard customer data through best practices in security and compliance.Qualifications:A minimum of 3 years of experience in Data Engineering.Proficiency in data modeling, data warehousing, and analytics.Experience with DBT and Snowflake or similar technologies.Strong problem-solving skills and the ability to work collaboratively in a team-oriented environment.
About Valsoft Corp.Founded in 2015 in Canada, Valsoft Corp. has expanded its reach to a global portfolio of over 120 companies. We specialize in acquiring and developing vertical market software firms, empowering each business to provide exceptional mission-critical solutions tailored to their industry needs. Valsoft is committed to investing in established enterprises while cultivating an entrepreneurial atmosphere that transforms companies into industry leaders.We focus on building, holding, and generating value through long-lasting partnerships with existing management teams.About the RoleWe are in search of a talented AI Engineer to join our team in designing, building, and deploying intelligent systems that will drive the next generation of our products. In this position, you will operate at the crossroads of machine learning, data analysis, and software engineering, crafting AI-powered features that create tangible value for our customers.Your role will involve close collaboration with product, engineering, and data teams to convert innovative ideas into scalable AI solutions, from initial experimentation and model development through to production deployment.This is a fantastic opportunity to work with cutting-edge AI technologies and influence how artificial intelligence is integrated across our platform.What You’ll DoDesign, develop, and deploy machine learning and AI models within production environments.Create and maintain AI-driven features and services across our suite of products.Manage large datasets to train, evaluate, and enhance model performance.Implement and optimize LLM-based applications, NLP models, and recommendation systems.Collaborate with product and engineering teams to address business challenges with innovative AI solutions.Develop scalable pipelines for data processing, model training, and inference.Monitor model performance and continuously enhance accuracy, efficiency, and reliability.Stay informed about the latest advancements in AI, machine learning, and generative AI.What We’re Looking ForMinimum of 3 years of experience in AI, machine learning, or data science engineering.Proficient programming skills in Python.Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.Familiarity with LLMs, NLP, or generative AI technologies.Proven experience in deploying models within production environments.Knowledge of data pipelines, APIs, and cloud platforms (AWS, GCP, or Azure).Strong analytical and problem-solving abilities, with a knack for translating business needs into technical solutions.
Role OverviewJoin Dropbox as a Data Scientist and collaborate with cross-functional teams including product, engineering, and design. In this role, you will help us address pivotal questions that influence our strategies to enhance revenue, optimize our product offerings, scale operations, and effectively monetize our business. You will spearhead high-impact initiatives that drive our growth.At Dropbox, we tackle complex challenges and contribute to business growth by leveraging a comprehensive understanding of user behavior through applied data science.
We are seeking a highly skilled and experienced Unix/SQL/Java Developer to join our dynamic team at System Canada Technologies. This is an urgent requirement for a contract position based in Toronto. If you are passionate about technology and have a strong background in Unix systems, SQL databases, and Java programming, we want to hear from you!
Konrad Group is a digital consultancy that creates technology solutions for complex business challenges. The team values creativity, technical expertise, and ongoing learning. Their digital products serve millions of users globally. Role overview This Data Engineer role is located in Toronto. The position focuses on designing, building, and maintaining scalable data platforms and pipelines. Experience with Azure Fabric, Databricks, and Snowflake is required. Regular collaboration with analysts, data scientists, and other engineers ensures that data solutions remain reliable, secure, and efficient. Main responsibilities Design and manage data pipelines and architecture to support business needs. Build solutions using Azure Fabric, Databricks, and Snowflake. Improve data workflows to enhance reliability, scalability, and performance. Work closely with internal stakeholders to understand data requirements and deliver tailored solutions. Maintain data security and ensure compliance with relevant standards. Handle data modeling, extraction, transformation, and loading (ETL/ELT) tasks. Suggest new methods to improve data quality and analytics.
Join Our Team at Brillio:As a leading digital technology service provider, Brillio is at the forefront of innovation, partnering with Fortune 1000 companies to transform challenges into opportunities through strategic digital adoption. Our exceptional team, known as 'Brillians', is dedicated to integrating advanced digital and design thinking skills with a strong commitment to client satisfaction.Brillio is proud to foster an environment that attracts top talent, driven by our focus on cutting-edge technologies and exclusive digital projects. Our continuous effort to enhance the experience of our Brillians has earned us the Great Place to Work® certification, affirming our status as an employer of choice.Position Overview:We are seeking a Senior Data Engineer specializing in Big Data, Snowflake, and Agentic AI. In this role, you will leverage your expertise to drive data engineering initiatives, ensuring our clients can harness the power of data effectively.
At RAVL, we empower technologists to elevate their careers through innovative solutions.We blend strategic insight with execution, deeply valuing our partnerships and measuring success by the meaningful impact we create. Our mission is to cultivate a team dedicated to achieving sustainable business outcomes in every endeavor.We aim to enhance our clients' experiences and foster a workplace where our employees are enthusiastic about Building. Better.As the Principal Data Engineering Leader at RAVL, you will architect and enhance enterprise-level data and AI platforms, ensuring they are secure, scalable, and high-performing. In your role as a Community of Practice (COP) Leader within the BuildIQ organization, you will develop cross-functional data and AI capabilities that elevate all Organizations of Engagement (OOEs). This includes providing expert architectural guidance, establishing platform standards, and creating reusable accelerators across teams.You will excel in ambiguous environments, embracing a results-driven mindset to deliver visible and significant progress. Success at RAVL involves a combination of profound technical expertise in raw data engineering, data platform architecture, and applied AI systems, coupled with creativity, an open mindset, and the ability to influence as a trusted advisor in complex client settings. This role carries the responsibility not only for project delivery but also for elevating the performance standards of the entire data discipline.
Achievers is looking for a Senior Backend Software Engineer to join the Data Intelligence team in Toronto. This role centers on building and maintaining backend services that transform data from our SaaS platform into actionable insights for clients. Role overview As part of the team, you will design and develop backend systems using Python and Go. Our services run on a microservices architecture, deployed with Google Cloud Platform and Kubernetes. The focus is on delivering intelligent, high-impact solutions that help organizations use their data more effectively. What you will do Develop and maintain backend services that process and analyze platform data Work with Python and Go in a microservices environment Deploy and manage services on GCP and Kubernetes Help create seamless and valuable user experiences by solving engineering challenges at scale Requirements Experience with backend development using Python and/or Go Familiarity with microservices architecture Experience deploying services on Google Cloud Platform and Kubernetes Strong problem-solving skills and ability to work on large-scale systems Note: This position is focused on backend engineering, not data engineering.
Join Fullscript as a Staff Machine Learning Engineer, where you will play a pivotal role in designing and implementing innovative machine learning solutions that enhance our platform’s capabilities. You will work closely with cross-functional teams to develop algorithms and models that drive our business forward, making a significant impact on the healthcare industry.
Full-time|On-site|Vancouver, British Columbia, Canada
Later is the leading platform in influencer marketing, empowering brands to craft unforgettable campaigns with confidence. By leveraging genuine creator relationships, reliable intelligence, and expert support, Later eliminates uncertainty from one of marketing's most visible investments.Our AI-driven platform, backed by over a decade of proprietary data—including billions of social interactions, impressions, and more than $2.4 billion in verified influencer-generated purchases—enables teams to predict campaign success before launch.By merging valuable insights with expert guidance, Later takes the guesswork out of influencer marketing, allowing brands to select the ideal creators, execute thoroughly managed campaigns, and achieve significant growth in awareness, engagement, and revenue. Trusted by major enterprise brands such as Nike, Wayfair, Unilever, and Southwest Airlines, Later harmonizes creativity with performance to ensure campaigns not only look impressive but also yield tangible results. Discover more at later.com.About this Position:We are seeking a Machine Learning Infrastructure Engineer to join our expanding Data & Platform team. In this pivotal role, you will establish the framework that drives our AI and machine learning capabilities across Later's product suite. As our inaugural dedicated ML Infrastructure Engineer, you will oversee the systems that facilitate model experimentation, training, deployment, and large-scale monitoring.This position is essential for accelerating our data science endeavors and fostering future AI innovations. You will design and maintain reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to deploy impactful models confidently. If you are passionate about creating robust ML systems in a dynamic environment and are eager to set the standard for ML Ops at Later, this is your chance.
