Data Engineer (AWS, Snowflake, DBT, Airflow, Informatica IICS) at altersolutions | Toronto

📍 Canada | 🌍 Remote opportunities available | ⏰ Operating in EST timezone Project ContextAs a key member of the client’s internal team spanning Canada, the USA, and Europe, you will collaborate extensively with global vendor teams. Your primary goal will be to deliver technical support, code validation, and deployment expertise, ensuring the success o…

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 dynamic team at Tiger Analytics as a Data Engineer specializing in Snowflake. In this fully remote role, you will leverage your expertise in data engineering to build and optimize data pipelines, ensuring high performance and reliability in data processing. You'll collaborate with cross-functional teams to deliver data solutions that drive business insights and support data-driven decision-making.

Join Our Team as an Informatica Data Quality SpecialistAre you an expert in ensuring data accuracy and integrity? At System Canada Technologies, we are seeking a skilled Informatica Data Quality Specialist to enhance our data management processes.Key Responsibilities:Utilize Informatica 9.x (PowerCenter, PowerExchange, and IDQ) to manage and ensure high-quality data.Work with Oracle databases (10g and above) to maintain data accuracy.Develop and implement Unix Shell Scripts in AIX or Linux environments to automate data quality processes.

About SkillersZone LLC:SkillersZone LLC stands at the forefront of affiliate marketing and recruitment software solutions. Our mission is to empower businesses by enhancing their marketing and recruitment processes through innovative and user-friendly technology. We are on the lookout for a skilled Data Engineer to join our dynamic team. In this role, you will be instrumental in developing the architecture necessary for the collection, storage, and processing of large datasets, ensuring that we have reliable access to data that drives informed decisions and fosters innovation.Position Overview:The Data Engineer will take charge of designing, building, and maintaining robust data pipelines, ensuring efficient data collection, storage, and processing across various systems. You will collaborate closely with data scientists, analysts, and other key stakeholders to guarantee that data is accessible, accurate, and reliable for business analysis and strategic decision-making.

Join our dynamic team at System Canada Technologies as a Business Intelligence (BI) Informatica Developer. In this role, you will leverage your expertise in Informatica to develop and optimize data integration processes that drive business insights and decision-making. We are looking for innovative thinkers who are ready to tackle complex challenges and embrace the opportunity to shape data solutions that impact our clients' success.

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.

Join Spotify as a Data Engineer on our Platform team and be a part of our mission to unlock the power of music for millions of users around the globe. In this role, you will design, build, and maintain cutting-edge data infrastructure and pipelines that enable our teams to make data-driven decisions. Your innovative mindset and technical expertise will play a crucial role in enhancing our data processing capabilities.

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.

Join Lyft as a Data Engineer, where your expertise will drive innovative data solutions that enhance our ride-sharing platform. Collaborate with cross-functional teams to design, implement, and maintain robust data pipelines and architectures that support data analytics and machine learning initiatives.

Join Our Team at ShyftLabs At ShyftLabs, we are passionate about harnessing the power of data. Since our inception in 2020, we have empowered Fortune 500 companies to achieve unprecedented growth through innovative digital solutions that redefine industries and deliver tangible business results. As we continue to expand, we are on the lookout for enthusiastic problem-solvers ready to transform visionary ideas into impactful realities. Your Role as a Data Engineer We are currently seeking a talented Data Engineer to play a pivotal role in the design, development, and optimization of big data solutions utilizing the Databricks Unified Analytics Platform. This position demands a robust skillset in Apache Spark, SQL, Python, and familiarity with cloud platforms such as AWS, Azure, or GCP. The ideal candidate will collaborate effectively with cross-functional teams to foster data-driven insights and architect scalable, high-performance data systems.

Join Lyft as a Data Engineer and play a pivotal role in shaping our data architecture and infrastructure. You will collaborate closely with cross-functional teams to design and implement robust data pipelines that enable data-driven decision-making across the organization.

Join creatoriq as a Senior Data Engineer specializing in Reporting. In this pivotal role, you will leverage your expertise to design and implement robust data infrastructure, enabling our team to transform complex datasets into valuable insights. Your contributions will directly influence our reporting processes and drive data-driven decision-making across the organization.

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.

We are seeking a talented and enthusiastic Data Engineer who thrives on the challenge of transforming raw data into actionable insights. If you are passionate about analytics and eager to contribute to the development and scaling of data capabilities within organizations, this role is for you. You will work closely with fellow data scientists to create robust data tools and pipelines that enhance data accessibility and usability. Your expertise in designing ETL workflows and data schemas will be crucial, and your critical thinking and problem-solving abilities will help drive our projects forward.

Join Our Team as a Data Developer!At mod-op, a leading full-service advertising agency, we pride ourselves on our innovative approach and dynamic growth. With offices across various locations including the United States, Panama City, and Canada, we offer a vibrant workplace that champions teamwork and creative collaboration. Our benefits include a generous time-off policy and access to quality healthcare options, all within a supportive environment that emphasizes personal and professional development.Your Role:As a Data Developer with over 2 years of experience, you will play a crucial role in shaping our data infrastructure. You will design and implement scalable data pipelines, optimize workflows, and support analytics initiatives, leveraging cloud platforms like AWS and GCP. Your expertise will empower data-driven decision-making through visualization tools such as Google Looker and Tableau.Key Responsibilities:Data Pipeline Development: Create and maintain scalable ETL/ELT pipelines in GCP and AWS using Data Flow, Composer, and other tools.Data Integration: Manage and work with both structured and unstructured data sources, including CRM and marketing platforms.Database Management: Optimize SQL and NoSQL database queries (including Teradata, BigQuery, Cassandra).Data Science and ML: Implement models with GCP Vertex AI, utilizing Python and its libraries (Pandas, NumPy, Scikit-learn) for data analysis and ML deployments.Data Visualization: Develop dashboards using Power BI, Google Looker, and Tableau to generate business insights.Collaboration: Partner with data analysts, marketing teams, and stakeholders to comprehend business needs and deliver effective data solutions.The role operates under a hybrid work model, requiring in-office presence two days a week.

Join Lyft as a Senior Data Engineer and play a pivotal role in creating scalable data solutions that enhance our services and drive our business forward. You will work closely with cross-functional teams to design, build, and maintain data pipelines that support analytics and machine learning initiatives.

Location: Toronto, Canada (Work Anywhere: remote or office-based) About Veeva Systems Veeva Systems develops industry cloud solutions that help speed the delivery of therapies to patients. The company recently surpassed $3 billion in revenue and continues to expand. In 2021, Veeva became a public benefit corporation (PBC), committed to serving customers, employees, society, and investors in balance. Core values include Do the Right Thing, Customer Success, Employee Success, and Speed. Veeva supports flexibility through its Work Anywhere approach, giving employees the choice to work remotely or from an office. Learn more about Veeva's impact on the life sciences industry in this Forbes feature. Role Overview The Data Engineer role at Veeva OpenData centers on delivering real-time reference data for the healthcare ecosystem. This work supports commercial sales execution, compliance, and analytics for life sciences customers. The position involves collaborating with an engineering team to design, build, and deploy impactful features. Work happens within an Agile framework.

Overview: Join Guidepoint as a skilled Data/AI Engineer and become a vital part of our innovative AI team in Toronto. Our Technology Hub is at the forefront of developing a modern data infrastructure that empowers advanced analytics and promotes responsible AI practices. This strategic initiative is crucial to Guidepoint's vision of harnessing cutting-edge Generative AI and analytical capabilities to enhance our Next-Gen research enablement platform and data-driven products. This role requires remarkable leadership and technical expertise to propel the creation of next-generation research enablement platforms and AI-enhanced data solutions. You will be responsible for designing and scaling Generative AI systems, including large language model (LLM) applications and intelligent research agents, while integrating responsible AI principles and top-tier MLOps practices. As a Senior AI/ML Engineer, you will play a key role in building scalable AI/ML functionalities using Databricks and other advanced tools across Guidepoint’s suite of offerings. The Technology team at Guidepoint thrives on solving complex problems and enhancing user experiences. In alignment with our mission to make individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, our engineering team is tackling challenges to refine internal application architectures and develop new AI-enabled products that optimize our service delivery. This is a hybrid position based in Toronto.