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Experience Level
Mid to Senior
Qualifications
Proven experience with Unix operating systemsStrong SQL database skillsProficiency in Java programmingExcellent problem-solving abilitiesAbility to work collaboratively in a team environmentStrong communication skills
About the job
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!
About System Canada Technologies
System Canada Technologies is at the forefront of technology solutions in Canada. We pride ourselves on delivering innovative and effective solutions that drive success for our clients. Our team is composed of talented professionals who are committed to excellence and continuous improvement.
AIP Connect is excited to announce the launch of its freelance service, catering to talented individuals seeking new opportunities. If you're interested in joining our network of freelancers and exploring various projects, we invite you to submit your resume today!
At MaintainX, we are revolutionizing Asset and Work Intelligence for industrial and frontline environments. As a cutting-edge IoT-enabled cloud platform, we enhance reliability, safety, and operations for physical equipment and facilities. We're proud to serve over 13,000 businesses, including industry leaders like Duracell, Univar Solutions Inc., Titan America, McDonald’s, Brenntag, Cintas, Xylem, and Shell.Having successfully closed a $150 million Series D funding round, our total funding now stands at $254 million, positioning our company at a valuation of $2.5 billion.We are on the lookout for a Senior Data Engineer to join our dynamic team. In this role, you will be instrumental in constructing and maintaining the data platform that fuels the MaintainX product and empowers internal analytics and business intelligence. Your work will involve developing platform capabilities and tools that are essential for our engineering teams. You will play a vital role in various aspects of the data platform, including building pipelines (batch, micro-batch, and streaming), managing deployment, ensuring governance, and enhancing developer tools.Key Responsibilities:Develop and enhance the Databricks-based data platform for product functionalities, machine learning initiatives, and internal reporting.Design and implement robust and scalable data ingestion and transformation pipelines.Transform raw data into clean, reliable datasets that support both product features and internal analytics.Create platform abstractions and tools that elevate the developer experience for data producers and consumers.Enhance observability, testing, and monitoring to guarantee reliability and performance.Oversee and contribute to data governance, security, compliance, and access controls.Participate in establishing platform standards and architecture as the data platform evolves.Collaborate with engineering, machine learning, product, and analytics teams to address their data needs.
Join Flagler Health, a dynamic healthtech innovator, as we revolutionize the delivery of healthcare services through cutting-edge AI-driven workflow automation, remote patient engagement, and comprehensive chronic care programs. Our platform has positively impacted over 1.5 million patients and is a trusted partner for healthcare providers and payers aiming to improve operational efficiency and patient outcomes while reducing costs. With a unique freemium model and limited competition, we are set to capture a significant portion of the $4.5 trillion U.S. healthcare market.Key ResponsibilitiesDatabricks Platform Expertise• Design, manage, and enhance data pipelines utilizing the Databricks platform.• Troubleshoot and debug Spark applications to ensure optimal performance and reliability.• Apply best practices in Spark computing and workload optimization.• Python Development• Write clean, efficient, and reusable Python code adhering to object-oriented principles.• Develop APIs to facilitate data integration and application functionality.• Create scripts and tools that automate data processing and workflows.MongoDB Management• Manage, query, and integrate data within MongoDB.• Ensure efficient data storage and retrieval tailored to application needs.• Optimize MongoDB's performance for handling large datasets.• Collaboration and Problem Solving• Collaborate closely with data scientists, analysts, and stakeholders to address data requirements and deliver effective solutions.• Identify and resolve technical challenges related to data processing and system architecture.
Join our innovative team at Merge API Integration Sandbox as a Data Engineer! You will play a crucial role in designing and implementing data solutions that drive our business forward. Your expertise will help us optimize our data processes and enhance the overall data architecture.
Join Lyft's innovative Telematics team as a Senior Backend and Data Engineer, where your expertise will directly contribute to enhancing safety and affordability within our ride-sharing platform. In this role, you'll develop and maintain high-frequency data processing systems, utilizing our advanced technology stack, including AWS, Kubernetes, Spark, and Apache Airflow. Collaborate with passionate colleagues across software engineering, machine learning, and data science to transform telematics data into actionable insights that drive our mission of reducing accidents and improving the rider and driver experience.
At PointClickCare, our mission is straightforward: to enable healthcare providers to deliver unparalleled care. This mission begins with our dedicated team. As a prominent health technology company, founder-led and privately owned, we encourage our employees to challenge the status quo, innovate, and help shape the future of healthcare.With the most extensive dataset for long-term and post-acute care and a marketplace featuring over 400 integrated partners, our platform supports more than 30,000 provider organizations, positively impacting millions of lives. We reinvest a substantial portion of our revenue into research and development, ensuring our team has the necessary resources to innovate and make a significant impact. Acknowledged by Forbes as a leading private cloud company and recognized as one of Canada’s Most Admired Corporate Cultures, we provide flexibility, opportunities for growth, and meaningful work.At PointClickCare, we empower our employees to be the architects of a more intelligent healthcare future—one that prioritizes human needs and leverages AI to foster significant and lasting change. Our team utilizes AI as a tool for creativity, productivity, and strategic decision-making. By incorporating AI tools into our daily operations, we enhance collaboration, improve outcomes, and equip every team member with the skills to maximize their impact. Our recruitment practices focus on identifying AI expertise that aligns with our mission, and we continually invest in training and development to promote innovation throughout our employees' career journeys.Join us in transforming healthcare—ensuring it not only survives but flourishes. To discover more about PointClickCare, visit Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
Jobgether is hiring a Finance Staff Data Engineer, AI Native, located in Canada. This role centers on supporting financial operations with data engineering expertise while helping to advance AI-driven solutions throughout the company. Role overview The Finance Staff Data Engineer works closely with the finance department to enhance how data is used in daily operations. The position aims to improve decision-making and efficiency by building and maintaining data systems tailored to finance needs. Key focus areas Support financial operations by developing and optimizing data pipelines and tools Advance the use of AI-driven solutions within finance and across the organization Enable the finance team to make better decisions through improved access to data Location This position is based in Canada.
Role overview hive.co seeks a Senior Data Software Engineer based in Canada to join its remote team. This role centers on designing and building data solutions that help guide business decisions and enhance the company’s products. The focus is on developing reliable data pipelines and scalable applications that match evolving needs. What you will do Design and develop data pipelines and applications aligned with business and product objectives Collaborate with engineers and teams across hive.co Help shape the data infrastructure and influence client-facing solutions Impact This position plays a key role in enabling hive.co to deliver value to clients and make informed decisions based on strong data foundations.
Join our dynamic team at System Canada Technologies as an SQL Developer specializing in Sybase or Oracle databases, along with Unix Shell scripting and Java programming. This role is perfect for individuals looking to leverage their technical skills in a fast-paced banking environment. You will work closely with cross-functional teams to deliver high-quality software solutions.
Why Choose Cloudbeds?At Cloudbeds, we're on a mission to revolutionize the hospitality industry. Our innovative platform supports properties in over 150 countries, managing billions in bookings each year. Whether it's independent hotels or large chains, we empower hoteliers to streamline their operations and enhance their commercial strategies through a comprehensive platform that connects with hundreds of partners. Join our fully remote team of global innovators to create AI-driven solutions addressing the most pressing challenges faced by hoteliers. Since our inception in 2012, we've earned recognition as the World’s Best Hotel PMS Solutions Provider and made it to Deloitte’s Technology Fast 500 list again in 2024, but this is just the beginning.Your Impact:As a Senior Data Engineer, you will be responsible for designing and implementing large-scale distributed data processing systems using state-of-the-art technologies such as Apache Hadoop, Spark, and Flink. You will develop robust data pipelines and infrastructure that convert complex data into actionable insights, ensuring scalability and fault tolerance across our platform that handles billions in bookings every year.In this role, you'll architect data lakes, warehouses, and real-time streaming platforms while enforcing security measures and enhancing performance. Leveraging your expertise in distributed computing, containerization (Docker, Kubernetes), and streaming technologies (Kafka, Confluent), you'll spearhead innovation and assess new technologies to perpetually enhance our data ecosystem.About Our Data Team:We thrive on transforming intricate, disorganized data into valuable insights that drive significant impact throughout the organization. Our team is passionate about tackling data infrastructure challenges at scale, building resilient pipelines, optimizing performance, and creating systems that empower analysts and executives alike to make smarter, faster decisions.What distinguishes us is our culture of deep trust and collaboration. No team member is left to struggle alone. When someone encounters a hurdle, the team rallies to provide support without hesitation. We are unified problem solvers with a shared mission, where collaboration is not merely encouraged; it is expected, and collective successes take precedence over individual recognition.
Role Overview cima2 is seeking a Hydrology and Hydraulic Engineer with a focus on data modeling for its Québec office. This position centers on modeling and analyzing hydrological systems to support water management projects. What You Will Do Model and analyze hydrological and hydraulic systems using data-driven approaches Work closely with a team of engineers and specialists on water management initiatives Contribute technical insights to projects that affect local communities and environmental outcomes Location Based in Québec.
StackAdapt is a premier technology firm dedicated to empowering marketers to effectively reach, engage, and convert audiences with pinpoint accuracy. Handling an astonishing 465 billion automated optimizations every second, the AI-driven StackAdapt Marketing Platform seamlessly integrates brand and performance marketing, delivering quantifiable results throughout the entire customer journey. The most innovative marketers trust StackAdapt to orchestrate impactful campaigns across programmatic advertising and various marketing channels.Key Responsibilities:In this pivotal role, you will oversee all aspects of operational database administration, data engineering, and data operations within our Data Lake and Enterprise Data Warehouse (Snowflake) ecosystem. Your responsibilities will include but are not limited to:Leading daily database administration efforts to ensure a healthy and reliable data environment.Collaborating closely with our Staff EDW Architect to realize new visions, crafting high-quality data artifacts that adhere to industry best practices.Translating business requirements into intelligent, reusable ETL solutions that evolve with our organization.Designing comprehensive pipelines utilizing your expertise in data models and architecture diagrams to create automated ingestion and transformation pipelines that maintain data flow on schedule.Conducting analysis and producing artifacts such as Source-to-Target Mapping documents.Building pipelines that unify data from diverse sources—be it RDBMS, APIs, JSON, or flat files—ensuring a seamless information flow.Defining the "Source of Truth" through tools like Python and ETL software to cleanse, integrate, and transform data into a trusted single resource for the entire organization.Providing daily operational support for all data pipelines by monitoring alerts, troubleshooting, and promptly resolving production issues.Acting as a mentor for junior and intermediate data engineers and ETL developers as the EDO team expands.
WHO WE ARE:Launch Potato is a thriving digital media organization that attracts over 30 million monthly visitors through popular brands like FinanceBuzz, All About Cookies, and OnlyInYourState.As the Discovery and Conversion Company, we strive to connect consumers with top-tier brands through innovative, data-driven content and technology.Operating from our headquarters in South Florida, our remote-first team spans over 15 countries, fostering a high-growth, performance-oriented culture where speed, ownership, and measurable impact lead to success.WHY JOIN US?At Launch Potato, you will fast-track your career by taking ownership of outcomes, accelerating initiatives, and making a significant impact alongside a global team of high achievers.
WHO ARE WE?Launch Potato is a thriving digital media company 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 through innovative, data-driven content and technology.Our headquarters are in South Florida, and our remote-first team spans over 15 countries. We have cultivated a high-growth, high-performance culture where speed, ownership, and measurable impact are the cornerstones of our success.WHY JOIN US?At Launch Potato, you will fast-track your career by taking ownership of outcomes, accelerating your pace, and making a significant impact alongside a global team of high achievers.
Join Veeva Systems as a Data Scientist in our Business Consulting team, where you will leverage your analytical expertise to drive strategic insights and support clients in the life sciences sector. You will work collaboratively with cross-functional teams, utilizing advanced data science methodologies to solve complex business challenges. Your contributions will directly impact our clients’ success and help improve patient outcomes.
Please submit your CV in English and specify your English proficiency level. Mindrift connects skilled professionals with project-based AI roles at leading tech companies. The platform focuses on testing, evaluating, and improving AI systems. All positions are temporary and project-based, not permanent employment. Role overview This Senior Python Systems Developer role centers on functional testing for a large-scale project. The work involves building and executing black box tests for codebases written in various languages, using strong Linux and Docker skills. The position calls for reading and understanding code in C, Rust, or Go, often with the support of large language models (LLMs) such as Roo Code or Claude Code. Translating migration requirements and streamlining development with modern tools is a key part of the job. What you will do Create and run functional black box tests for large, multi-language codebases. Set up and manage Docker environments to ensure reproducible builds and reliable test execution across platforms. Monitor code coverage and implement automated scoring to meet industry standards. Use LLMs (such as Roo Code and Claude) to automate repetitive tasks, speed up development, and improve code quality. Requirements Minimum 5 years of software engineering experience, with a strong focus on Python. Advanced knowledge of pytest (including fixtures, session-scoped tests, and timeouts) and experience designing black-box functional tests for CLI tools. Proficient with Docker: building reproducible Dockerfiles, managing user contexts, and creating secure workspaces. Strong command of Linux and Bash scripting, including debugging within containers. Comfortable with modern Python tooling (uv, pyproject.toml, packaging). Ability to read and understand code in multiple languages (C, C++, Rust, or Go) with LLM support. Experience using LLMs (Claude Code, Roo Code, Cursor) to accelerate development and create test cases. English proficiency at B2 level or higher. Preferred qualifications Experience with agent evaluation platforms and MCP CLI. Key tools and technologies Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (reading only), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov. Project details and benefits Freelance, project-based work through the Mindrift platform (powered by Toloka AI). Fully remote and flexible: set your own hours and workload (20-30 hours per week). Competitive compensation: AI trainers on this project can earn up to $45 per hour equivalent. Location: Remote , Manitoba, Canada
About Us:Motive revolutionizes physical operations by providing innovative tools that enhance safety, productivity, and profitability. For the first time, safety, operations, and finance teams can manage drivers, vehicles, equipment, and fleet expenditures all within a single system. With our industry-leading AI solutions, the Motive platform delivers unparalleled visibility and control, dramatically reducing manual tasks through automation and streamlining.We serve nearly 100,000 customers, ranging from Fortune 500 companies to small businesses across diverse sectors, including transportation, logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and public services.Discover more at gomotive.com.Role Overview:As a Data Engineer on our Business Intelligence team, you'll play a pivotal role in driving Motive's growth by developing the data infrastructure necessary for the AI era. You will connect complex data with critical business domains, providing high-quality datasets and semantic models that shape our global strategy. This role offers an exciting opportunity to implement state-of-the-art tools, leverage AI to optimize your workflow, and master a modern data stack in a rapidly evolving environment.This position is ideal for a versatile data practitioner. You will design data models, construct robust pipelines, manage DevOps and automated systems, and implement AI-driven data tools. You will also have the opportunity to build dashboards and conduct in-depth analyses. If you enjoy working full-stack and managing the entire data lifecycle, this role is tailor-made for you.
Join our innovative team at Scalian as a Python Test Software Developer. In this role, you'll be responsible for developing and implementing automated testing solutions to ensure the quality and reliability of our software products. You will work closely with cross-functional teams to enhance product performance through rigorous testing methodologies.
Full-time|Remote|Alberta, Canada; British Columbia; Calgary, Alberta, Canada; California; New York; Ontario; Seattle; Toronto; Vancouver; Washington
StackAdapt stands at the forefront of technological innovation, equipping marketers with the tools to effectively reach, engage, and convert their target audiences. With an astounding 465 billion automated optimizations executed every second, our AI-driven StackAdapt Marketing Platform bridges the gap between brand-driven and performance marketing, ensuring measurable outcomes throughout the customer journey. Visionary marketers choose StackAdapt to execute impactful campaigns across diverse programmatic advertising and marketing channels.We invite you to join our talented Data Science team as a Machine Learning Engineer! In this role, you will tackle complex challenges associated with StackAdapt's cutting-edge digital advertising platform. Collaborating closely with our Data Scientists, fellow Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder, you will develop robust pipelines and sophisticated ad optimization models. With databases capable of processing millions of requests each second, you will find an abundance of data and intriguing problems to solve. As a remote-first organization, StackAdapt boasts teams distributed globally. We welcome candidates from across Canada and the United States to apply. This role will remain open until February 20, 2026. Applications will be evaluated on a rolling basis, and the position will be closed once the deadline is reached. To learn more about our Data Science Team, visit: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/Discover more about our team culture here: https://www.stackadapt.com/careers/data-scienceWatch our presentation at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU
Full-time|Remote|Alberta, Canada; British Columbia; Calgary, Alberta, Canada; Ontario; Toronto; Vancouver
StackAdapt stands at the forefront of technology, enabling marketers to precisely engage and convert audiences. With a staggering 465 billion automated optimizations occurring every second, our AI-driven StackAdapt Marketing Platform seamlessly integrates brand and performance marketing, delivering tangible results throughout the customer journey. The most innovative marketers select StackAdapt to orchestrate impactful campaigns across both programmatic advertising and diverse marketing channels.We are excited to welcome Senior and Staff Machine Learning Engineers to our Data Science team! This dynamic group tackles complex challenges within StackAdapt's digital advertising platform. You will collaborate closely with Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder to develop robust pipelines and ad optimization models. With databases capable of processing millions of requests per second, you'll find a wealth of data and intriguing problems to solve. Curious about our Data Science Team? Learn more: Data Science Team InsightsExplore our team culture here: Team CultureJoin us for our talk at Amazon Tech Talks: Watch Here StackAdapt embraces a Remote First approach, welcoming candidates from anywhere across Canada for this opportunity.
