Lead Data Engineer

WHO ARE WE?Launch Potato is a thriving digital media company that attracts over 30 million visitors each month. We are known for our successful brands including FinanceBuzz, All About Cookies, and OnlyInYourState.As the Discovery and Conversion Company, our goal is to connect consumers with leading brands through innovative, data-driven content and technolog…

Join Betr's Innovative Team!Founded in 2022 by Joey Levy and Jake Paul, Betr is revolutionizing the gaming industry with the world's first real money gaming super app. Our flagship product, Betr Picks, launched in September 2023, has rapidly attracted hundreds of thousands of paying users who have collectively won over $250 million on our platform. With the recent introduction of Betr Arcade and plans for nationwide gaming products by 2025, we aim to enhance user experience through a unique, simplified interface tailored for casual gamers and sports enthusiasts.Betr's media division, Betr Media, is one of the fastest-growing sports gaming media brands in the U.S., driving our user acquisition and retention strategies.We are proud to be backed by top-tier investors including Fuel Venture Capital, Aliya Capital Partners, and 8vc.About the Role:We are looking for a talented Senior Backend Engineer who is proficient in PHP and has experience with Python. In this pivotal role, you will contribute to the development and enhancement of our Laravel-based betting platform while collaborating with our expert team of PHP developers. Your responsibilities will also include developing various internal tools using Python.We are particularly interested in candidates with a passion for DevOps who are eager to optimize deployment pipelines and infrastructure. Please note that this position focuses exclusively on backend development with no frontend responsibilities. If you are excited about working on cutting-edge technology within a dynamic team, we want to hear from you!

Toloka AI seeks a Freelance Machine Learning Engineer for remote contract work based in Manitoba, Canada. This role centers on hands-on AI projects where results have a direct impact. The position allows for independent work from home while engaging with a variety of machine learning efforts. Key responsibilities Use machine learning methods to support ongoing projects Work with Toloka AI teams to develop practical AI solutions Apply technical knowledge to solve concrete, real-world problems Work location This is a remote position open to candidates living in Manitoba, Canada.

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.

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

Join Gorgias as a Senior Data Scientist and play a pivotal role in transforming our data into actionable insights. In this position, you will leverage your expertise in statistical analysis, machine learning, and data visualization to enhance our customer experience and drive strategic decision-making. Collaborate with cross-functional teams to develop innovative solutions and contribute to our mission of providing top-notch support for e-commerce businesses.

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.

Role overview Jobgether seeks a Staff Data Scientist in Canada to drive data analysis and modeling efforts that inform strategic decisions across the organization. This role centers on developing insights and solutions that help shape both products and services. Collaboration The Staff Data Scientist partners with teams from multiple departments. Close collaboration ensures that data-driven approaches are integrated into projects and initiatives throughout Jobgether. Key focus areas Analyze data to support company-wide strategies Build and apply models to real business challenges Contribute to the improvement of Jobgether’s offerings through evidence-based recommendations

About Instacart Instacart connects people with the groceries they love. The team works to make grocery shopping more accessible, supporting both customers and Instacart Personal Shoppers. Instacart aims to provide essential services for millions while offering flexible earning opportunities. Flexible Work at Instacart Instacart follows a Flex First approach. Employees can choose to work from home, an office, or another preferred location. Regular in-person events help maintain strong connections. Learn more about Instacart's flexible work options. Role Overview: Senior Data Scientist (Levels I & II) This posting covers multiple Senior Data Scientist roles within Instacart's four-sided marketplace. Openings are available at both L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. During the hiring process, candidates will learn about the team's challenges and participate in a team-matching step to find the best fit. Details about specific open roles appear at the end of the process. Location Remote within Canada (Ontario, Alberta, British Columbia, or Nova Scotia only). What You Will Do Develop and maintain analytical frameworks to guide product decisions. Design and run experiments, then interpret results to provide clear recommendations. Create statistical models to spot trends, measure outcomes, and forecast product performance. Build simulations to assess the effects of proposed product or policy changes. Promote data-driven decisions by building dashboards and analytical tools for wider use. Apply knowledge in causal inference and machine learning to uncover insights.

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.

Join cima2 as a Data Engineering Developer, where you will play a pivotal role in transforming complex data into actionable insights. You will work alongside a dynamic team to develop innovative data solutions that drive business success.

Join Syntronic: Where Your Innovation Shapes the FutureAt Syntronic, we don't just follow industry trends—we set them! Collaborate with visionary companies and brilliant minds to transform groundbreaking ideas into reality. Envision working on advanced projects in telecommunications, innovative automotive technology, life-saving healthcare solutions, and next-generation industrial automation. Our diverse projects are impactful and lead the way in technological innovation. Become part of an extraordinary team!About UsSyntronic is a global leader in design and development, specializing in electronics, electromechanics, and software. We are a community of innovators, building the future through advanced communication systems, autonomous vehicles, and revolutionary IoT solutions that enhance everyday life. Your contributions at Syntronic will make a real difference!

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.

As a Senior Data Transfer Developer, you will be responsible for designing, developing, and evolving robust data transfer systems and interfaces to ensure reliable, secure, and efficient data exchanges within the MEDFAR ecosystem. You will work with complex health data, contribute to architectural decisions, and promote the adoption of best practices to ensure the performance and scalability of the solutions.Key ResponsibilitiesDefine the architecture and evolution strategy for data transfer tools.Analyze, design, and plan the development of data transfer applications and interfaces.Develop maintainable, reusable, and scalable solutions optimized for available resources.Ensure efficient processing of complex data, particularly in the healthcare domain.Collaborate with internal teams and stakeholders to deliver solutions that meet business needs.Monitor, diagnose, and enhance data transfer processes to ensure reliability and performance.Promote and implement best practices, development standards, and new technologies.Guide and influence team members to improve technical quality.Communicate technical challenges and progress to stakeholders effectively.

Hello, Future Homie!At Homebase, we invite you to be part of a dynamic team that is innovative, swift, and dedicated to empowering small businesses. Our culture is built on empathy, urgency, and a passion for taking bold actions that create significant impacts. Every member at Homebase, affectionately known as a 'Homie,' is committed to elevating standards, providing support, and celebrating team victories.We're not merely developing an application; we're cultivating unstoppable teams. So, are you ready to join us?Your Impact Begins HereWe're in search of a Data Engineer who will help us revolutionize the way small businesses leverage data. This role is not just about creating data pipelines; it's an exciting chance to construct the backbone of AI-driven, rapid insights that power our innovations at Homebase.You will be responsible for developing and maintaining data pipelines, models, and reporting mechanisms that transform raw data into intelligent products and swift solutions. This position demands both technical prowess and a sense of ownership—you'll guide projects from concept to deployment, ensuring they are scalable, dependable, and yield measurable business results.Your Contributions will Include:Designing, developing, and optimizing data pipelines for processing structured & unstructured data at scale.Building and maintaining data models (fact, dimension, slowly changing dimensions, medallion/layered architecture, marts).Creating reports and dashboards to aid in business performance analysis.Collaborating with product, data science, and analytics teams to enable AI-powered features.Assisting with data architecture transformation & migration on Databricks.Quickly troubleshooting and resolving data quality/performance issues.Optimizing queries and enforcing best practices for reliability and velocity.Driving continuous workflow improvements through automation and experimentation.Leading projects from planning through execution to delivery. Key Strengths for Success: These experiences and strengths will set you up for triumph in this role:5+ years of experience in software/data engineering.Proficient in SQL (including window functions, CTEs, complex joins).Strong understanding of data pipeline architecture and data modeling.Experience with cloud platforms and big data technologies.A proactive approach to problem-solving and a passion for continuous learning.

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.

Role overview Chainalysis is seeking an Engineering Manager to lead the Data Cloud team in Canada. This position focuses on building and refining data infrastructure that supports transparency within blockchain technology. The manager will play a key role in ensuring the team’s work advances the company’s mission. What you will do Supervise engineering teams working on data-driven initiatives Guide the development and ongoing improvement of data infrastructure Ensure projects are completed successfully and align with organizational objectives About the team The Data Cloud group at Chainalysis focuses on making data accessible and reliable. Their projects provide insights and solutions that help clarify blockchain activity and support the company’s broader goals.

Are you an expert in environmental science with a passion for shaping the future of artificial intelligence? Large-scale language models are transforming from basic chatbots into influential tools for research, policy-making, and sustainability innovation. With your high-quality training data, tomorrow's AI can enhance environmental education, improve regulatory compliance, and bolster global conservation efforts. Your expertise is vital to powering the next generation of AI.We are seeking dedicated environmental specialists who are deeply knowledgeable about climate change, environmental impact assessments, pollution control, ecosystem management, biodiversity conservation, sustainability metrics, and environmental policy—particularly in French-speaking regions. You will engage with advanced language models on topics such as carbon accounting, life cycle analysis, environmental remediation, water and air quality monitoring, renewable resource management, environmental justice, and circular economy principles, meticulously documenting any failures to strengthen model reasoning.In your daily role, you will interact with the model in both English and French, discussing real-world environmental scenarios and theoretical questions, verifying factual accuracy and logical consistency, capturing reproducible error traces, and recommending enhancements to our prompt engineering and evaluation metrics.A Master's degree in environmental science, ecology, environmental engineering, or a related field is preferred. Fluency in French, practical or regulatory experience, and familiarity with region-specific environmental assessments, sustainability reporting frameworks, and conservation strategies will enhance your fit for this position. Clear and metacognitive communication is essential—demonstrating your thought process is key.Are you ready to transform your environmental expertise and French fluency into the foundational knowledge for tomorrow's AI? Apply today to become a crucial part of the model that will educate the world.

Join Fullscript as a Lead Data Scientist and play a critical role in shaping our data strategy. In this position, you will leverage your expertise in data science to analyze complex datasets, develop predictive models, and provide actionable insights that drive business decisions. You will lead a team of data scientists, fostering a collaborative environment that encourages innovation and excellence.

Role overview Pinterest is hiring a Senior Data Scientist in Toronto, ON. This role focuses on using advanced data analysis and machine learning to guide business decisions and improve the user experience. What you will do Analyze large datasets to uncover insights that inform product and business strategy Apply machine learning methods to solve real-world problems on the Pinterest platform Work closely with teams across the company to develop and implement data-driven solutions Help optimize features and experiences for millions of Pinterest users