Senior Backend Engineer (PHP/Python) at Betr | Canada

Mindrift is hiring a Freelance Python Data Scraping Engineer for the Tendem project. This is a part-time, remote contract role available to candidates based in Manitoba, Canada. Mindrift partners specialists with technology innovators to advance Generative AI by combining real-world expertise with AI-driven projects. Role overview This contract centers on technical data extraction and web scraping for the Tendem project. The work combines human judgment with AI-powered workflows. Collaboration with Tendem Agents is a key part of the process: while they manage repetitive tasks, you focus on ensuring the quality and usability of the data collected. What you will do Lead end-to-end data extraction from complex and dynamic websites, producing structured and accurate datasets. Utilize internal tools such as Apify and OpenRouter, along with custom workflows, to streamline data collection and validation. Adjust scraping approaches to handle interactive or JavaScript-heavy sites, adapting to changes in site structure. Enforce data quality through validation checks, consistency across sources, and adherence to formatting standards before delivery. Scale up for large datasets using batching or parallelization, monitor for failures, and maintain stability as websites evolve. Requirements Practical experience using Python for web scraping, data extraction, and data processing tasks. Knowledge of tools like Apify and OpenRouter is helpful. Ability to troubleshoot and adapt to changing or dynamic web environments. Keen attention to detail and a commitment to high data quality. Compensation Contributors can earn up to $32 per hour, depending on skill level and pace. Actual rates vary based on project scope, complexity, and required expertise. How to apply Submit your application to get started. If qualified, Mindrift will match you with projects aligned to your technical background. The work is flexible and remote, so you can contribute on your own schedule. Projects may include coding, automation, and refining AI outputs, all supporting practical advances in AI capabilities.

Role overview Jobgether is hiring a Senior Python Data Scraping Engineer for a partner company. This freelance position is fully remote and open to candidates based in Canada. The main responsibility is building and maintaining scalable systems for web data extraction, supporting both AI-driven and human validation workflows. What you will do Design and improve Python-based scraping tools for dynamic, frequently changing websites Manage large volumes of data to ensure structured, reliable delivery at scale Adapt scraping strategies to new site architectures and anti-bot protections Collaborate with AI agents, maintaining strong standards for accuracy and quality control Help create datasets that support advanced analytics and AI projects Requirements Advanced Python skills, with a focus on web scraping and automation Experience running complex scraping projects and handling large datasets Ability to adapt quickly to changing web technologies and environments Keen attention to detail, especially regarding data accuracy and validation Comfort working independently as a remote freelancer Location and work arrangement This freelance role is open to candidates residing in Canada. The position values autonomy, technical expertise, and a reliable work ethic.

About ClickHouseListed among the 2025 Forbes Cloud 100, ClickHouse is recognized as a leader in innovation within the private cloud sector. Serving over 3,000 clients and experiencing an astounding 250% year-over-year growth in ARR, ClickHouse excels in real-time analytics, data warehousing, observability, and AI-driven workloads.The company’s remarkable growth has been bolstered by a recent $400M Series D funding round. In the last quarter, major clients such as Capital One, Lovable, Decagon, Polymarket, and Airwallex have either adopted our platform or expanded their existing use. They join a prestigious roster of AI pioneers and global brands, including Meta, Cursor, Sony, and Tesla.Join us on our mission to revolutionize the way organizations leverage data.The Connectors team plays a crucial role in linking ClickHouse with the wider data ecosystem. We design and maintain integrations that empower millions of developers, data experts, and AI agents worldwide, ranging from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tools.Our contributions significantly influence how organizations manage extensive datasets: we support real-time analytics platforms processing millions of events per second, observability systems tracking global infrastructures, and increasingly, AI-powered data applications that redefine data interactions. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set benchmarks for performance, reliability, and user experience.About the RoleAs a Senior Software Engineer focused on Python and the Data Ecosystem, you will be a key contributor responsible for the evolution of essential components within ClickHouse’s data engineering ecosystem. This position lies at the crossroads of high-performance database engineering and enhancing developer experience. You will develop tools that empower Data Engineers and Data Scientists to leverage ClickHouse’s speed and scalability within their existing frameworks.We seek an individual who has firsthand experience as a Data Engineer or Data Scientist. The landscape for data practitioners is rapidly changing: databases are no longer mere query targets; they are becoming vital components of AI-driven workflows, serving as vector stores for RAG pipelines, backends for LLM-driven agents, and real-time feature stores for ML inference. Your understanding of these workflows comes from direct involvement, enabling you to provide product-level insights as you create integrations.

Join our innovative team at MongoDB as a Senior Python Engineer, where you will play a crucial role in designing, developing, and optimizing high-performance applications. Your expertise in Python will help us enhance our product offerings while working in a collaborative environment that values creativity and technical excellence.

About LanternLantern is a leading specialty care platform designed to connect individuals with top-tier healthcare when they need it most. By establishing a curated Network of Excellence, which includes the nation's foremost specialists across various medical fields such as surgery, cancer care, and infusions, Lantern not only ensures quality care but also delivers substantial cost savings to employers and their employees. Our dedicated care teams, comprising Care Advocates and nurses, accompany members throughout their healthcare journey, empowering them to regain their health, reconnect with their families, and return to their professional lives. With convenient access to specialists across the nation, Lantern makes quality healthcare accessible to most individuals. Trusted by some of the largest employers in the country, we serve over 6 million members nationwide. Discover more about us at lanterncare.com.About You:You leverage LOGIC in your decision-making, understanding that progress is essential for enacting change. You prioritize executing your tasks while thriving in a fast-paced environment, celebrating both minor and major victories along the way.INCLUSION is a fundamental aspect of your values. You highly value a diverse and inclusive workplace, eager to collaborate with a team that encompasses a variety of experiences and perspectives.With GRIT, determination, and ambition, you are equipped to tackle significant challenges. You believe that substantial problems necessitate innovative solutions and a supportive team to foster new ideas.You possess a deep commitment to your customers, driven to maintain HUMANITY in every decision made. Your motivation stems from the individuals utilizing your product, as they are the core of your drive for change.Guided by integrity, you emphasize the importance of TRUTH over simply providing answers that are comfortable to hear.Collaboration is vital for you, and you flourish in a team environment where innovation and change are fostered.These pillars of LIGHT serve as a reminder to our team of the impact we have by offering guidance and support in navigating the often intricate landscape of healthcare. We aspire to illuminate pathways for individuals to access the best care, resources, and support they require to return to their lives.If this resonates with you, we would be delighted to discuss career opportunities at Lantern.

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.

Take-Two Interactive Software, Inc. is looking for a Data Engineer with hands-on experience in Python and Spark. This position is based in Toronto, Ontario, and centers on building and improving data pipelines that support business analytics and decision-making. Key responsibilities Design and develop scalable data pipelines using Python and Spark Optimize data workflows to improve efficiency and reliability Work closely with teams across the company to transform raw data into actionable insights Contribute to data-driven projects and help support informed decision-making across the organization Location This role is based in Toronto, Ontario, Canada.

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.

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals with project-based assignments that help advance AI systems for major technology companies. This freelance position is project-based and not a permanent role. Role overview The Freelance Data Science Engineer works on complex projects in sectors including telecom, finance, government, e-commerce, and healthcare. The main focus is designing and validating data science problems that closely resemble real analytical workflows in industry. What you will do Create original computational data science problems that reflect real-world analysis tasks. Develop challenges that require advanced Python programming, using libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Design problems that are computationally intensive and would take days or weeks to solve manually. Build scenarios involving complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Produce deterministic problems with reproducible results by using fixed random seeds and avoiding stochastic elements. Address business topics like customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end challenges covering the full data science pipeline, from data ingestion to deployment considerations. Include big data scenarios that require scalable computational solutions. Validate solutions using Python and standard data science tools. Document each problem with a realistic business context and provide verified solutions. Requirements At least 5 years of hands-on data science experience with proven business impact. A portfolio of completed projects or publications that demonstrate strong problem-solving skills. Advanced Python skills for data science, including experience with Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Expertise in statistical analysis and machine learning, with a solid understanding of algorithms and practical applications. Proficiency in SQL and experience with database operations for analysis and manipulation. Experience with GenAI technologies such as LLMs, RAG, prompt engineering, and vector databases. Familiarity with MLOps practices and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English skills (C1 level or higher). How to apply Submit your application and CV in English. After passing the qualification process, join a project to complete tasks and receive payment. Location Remote , Manitoba, Canada

At Kunai, we are at the forefront of transforming the financial services landscape. We develop comprehensive full-stack technology solutions tailored for banks, credit and payment networks, and infrastructure providers, empowering them to enhance their customer relationships and modernize their operations. Our mission is to facilitate our clients' adaptation to emerging trends and to future-proof their businesses by maintaining a tech-agnostic and human-centered approach.Join us in Montreal (on-site) to help shape the future of financial technology.

At Kunai, we are at the forefront of transforming the financial services industry by delivering innovative full-stack technology solutions tailored for banks, payment networks, and infrastructure providers. Our mission is to empower clients to embrace modern technology, harness emerging trends, and adapt their operations to thrive in the future. We pride ourselves on being tech-agnostic and putting people at the center of our solutions.Location: Montreal, Quebec - Onsite Work RequiredWe are actively seeking a skilled Python/Data Software Engineer to join our dynamic team. This position focuses on developing and sustaining intricate data pipelines and tools within our comprehensive financial services environment. Your contributions will enhance data engineering, streamline reconciliation processes, and elevate enterprise productivity across platforms serving millions globally.

Senior Data EngineerAbout UsAt Plusgrade, we believe that travel is not just about reaching a destination, but about enjoying the experiences created along the way. We partner with over 200 airlines, hospitality companies, cruise lines, railways, and financial services to transform everyday journeys into extraordinary experiences. Driven by our values of ambition, innovation, and collaboration, we constantly push boundaries and believe that we achieve more together. Join us in shaping the future of travel by unlocking the potential of data.Role OverviewWe are seeking a Senior Data Engineer to play a pivotal role in the evolution of our data platform. As part of our Data Engineering team, you will design and implement scalable, reliable, and high-performance data pipelines and platforms that support analytics, AI/ML, and customer-focused applications. In this role, you will serve as a technical leader, mentoring mid-level engineers, guiding solution design, and ensuring adherence to best practices. You will collaborate closely with a Staff Engineer and a Data Architect, participating in architectural decision-making while managing complex implementations and deliveries.Your ResponsibilitiesLead the design, development, and implementation of scalable, resilient, and cost-effective data pipelines for batch and streaming systems.Collaborate with Staff Engineers and Data Architects to translate the overall architecture into concrete technical solutions.Promote best practices in data modeling, pipeline design, code quality, and testing.Establish and enhance automated monitoring, alerting, and data quality frameworks for critical pipelines.Take ownership of complex, high-impact data engineering projects from conception to deployment and monitoring.Guide the team in designing event-driven, real-time, and microservices-oriented data flows.Optimize existing data infrastructure for performance, scalability, and cost-effectiveness in the cloud.Mentor and coach mid-level engineers, conduct reviews, and provide feedback to strengthen team capabilities.Collaborate with analysts, data scientists, and product teams to co-design data products that fuel advanced analytics and ML models.Contribute to the evolution of data governance, ensuring compliance and best practices.

Role Overview Movable Ink is hiring a Senior Data Engineer focused on Event Data for the Toronto office. This role centers on building and maintaining data pipelines that support marketing strategies for leading brands. The work involves modern data technologies and emphasizes both the reliability and accessibility of event data.

ZoomInfo Technologies Inc. is looking for a Senior Data Engineer based in Toronto, Ontario. This position centers on transforming raw data into actionable insights that support business decision-making. Role overview As a Senior Data Engineer, collaboration with experienced team members is a key part of the job. Projects handled in this role influence how data is managed and applied throughout the company. What you will do Convert large sets of raw data into clear, usable information Support business teams by providing data-driven insights Work closely with colleagues on data-focused projects Location This role is based in Toronto, Ontario, Canada.

Join Rockstar, a dynamic technology company on a mission to revolutionize workforce development. We are committed to creating innovative digital solutions that empower individuals and organizations to excel in today’s economy. We are currently seeking a talented Senior Data Engineer to enhance our core data platform and generate transformative business outcomes.A Senior Data Engineer will be integral to the team, contributing to the advancement of our core data platform, which encompasses data pipelines, machine learning models, and diverse databases. The ideal candidate will possess a robust combination of technical data skills and business acumen to establish a solid foundation of dependable data. Your expertise in data engineering will be crucial in developing high-performing pipelines.Your Responsibilities:- **Data Infrastructure**: Design and maintain the infrastructure that supports the data platform, including pipeline orchestration, data warehousing, and machine learning.- **Data Solutions**: Collaborate with a team of data scientists to develop and sustain data solutions that enable our products to operate efficiently and effectively at scale.- **Data Governance**: Champion best practices in data governance, ensuring data accuracy, accessibility, and compliance across all systems.- **Cross-Platform Data Integration**: Identify and integrate data from various platforms to meet real business needs in product development, engineering, and go-to-market strategies.- **Evolving Core Data Models**: Continuously enhance foundational models by pinpointing and incorporating new, high-value data sources.30/60/90 Day Strategy:30 Days:- Onboard and familiarize yourself with our stack and product.- Understand customer profiles, their challenges, and how data can be utilized to address their needs.- Gain insights into core data entities and their influence on our products.- Begin enhancing core data pipelines by adding layers for data quality and enrichment.60 Days:- Collaborate with data scientists to design datasets and processes that optimize complex workflows.- Take ownership of segments of the data catalog by defining and maintaining metrics, dimensions, and lineage.- Assist teams in extracting value from the platform’s data through consistent reporting and analysis.90 Days:- Automate reporting workflows from data ingestion to dashboard creation and tools.- Independently collect reporting and insights requirements from stakeholders.- Present findings and recommendations to stakeholders to facilitate data-driven decision-making.Required Qualifications:- Proven track record in translating ambiguous business requirements into actionable data engineering solutions.

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.

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.

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.

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.