Top Data Engineer Jobs in Ottawa
As a Staff Data Engineer, you will lead the development of data infrastructure for marketing analytics at Square. This role involves building pipelines, translating stakeholder needs into ETL requirements, and analyzing data trends to support business reporting and decision-making.
As a Senior Data Engineer at Cash App, you will design, develop, and maintain data products, support analytics, and work on diverse projects involving AWS Cloud Infrastructure, ETL/data modeling, mentoring team members, and collaborating with various stakeholders. You will also manage secure and performant code and participate in after-hours support.
The Senior Data Engineer will design, develop, and maintain data products for Block, focusing on cloud infrastructure, ETL/data modeling, and collaboration with various stakeholders. The role requires coding in Python and SQL, maintaining an AWS cloud platform, and mentoring team members while handling complex data projects.
As a Senior Data Engineer, you will design and maintain data infrastructure for Square's Marketing team, focusing on web event data. Responsibilities include building data pipelines, translating requirements for ETL processes, analyzing data sources, monitoring pipeline performance, and improving data quality and efficiency. Your work will significantly influence business decisions and reporting accuracy.
As a Data Engineer at Tiger Analytics, you will design, build, and maintain data pipelines and infrastructure, supporting data integration and collaboration with data scientists and analysts to facilitate data-driven decision making.
The Data Engineer will design databases, manage complex data sets, and develop self-service dashboards. They will apply analytical skills to derive insights for solving business problems and enhance data analytics capabilities within the company.
As a Data Engineer, you will create and manage data pipelines, collaborate with data scientists, and ensure data quality for ML operations. Your role includes transforming data, providing insights, and documenting model validation, while employing best practices in data management and engineering.
The Senior Data Engineer is responsible for ingesting, cleansing, transforming, and loading large datasets into cloud infrastructure. This role involves designing complex data systems, maintaining data standards, and automating processes while ensuring the reliability and stability of these systems. Additional responsibilities include documentation, vendor coordination, and providing consultative support to business needs.
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The ML Data Engineer will develop and maintain feature engineering pipelines using Databricks, manage ETL processes, and ensure optimized data quality and performance. Responsibilities include supporting the ML lifecycle, designing low-latency data pipelines, and collaborating with teams to align data transformation efforts with business needs.
The Guidewire Data Engineer will design and develop data models in Snowflake, optimize SQL queries, support claims management workflows with Guidewire Claims Center, and utilize ETL/ELT tools for data transformation. They will also build cloud-based data warehouses and leverage cloud platforms for data integration.
The Data Engineer will maintain data models for Coalition’s business, ensuring data accuracy and availability through efficient ETL processes. Responsibilities include collaborating with stakeholders on KPIs, enhancing analytics efficiency, and mentoring junior staff.
As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.
The Senior Data Engineer will lead small teams to develop scalable data solutions, ensuring project requirements are met through technical direction, collaboration, and adherence to best practices. Responsibilities include overseeing complex projects, conducting testing, implementing architectures, and driving efficiency.
As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.
The Data Engineer will build and optimize data pipelines and architectures in the cloud for international clients. Responsibilities include data warehouse development, ETL/ELT infrastructure management, building scalable data models, and ensuring data governance and security. Acting as a key collaborator with cross-functional teams, you'll enhance performance and operational efficiency.
As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.
As an Associate Data Engineer, you will work on automotive industry data, handle data processing tasks, and improve data quality and pipeline processes. You will build relationships and solve moderate scope problems with the goal of impacting internal and external products.
The Data Engineering Manager will enhance data engineering maturity at ZayZoon, responsible for data pipeline management, operational management, and team development. This role requires leading data engineering projects, ensuring stability in data processes, and building collaborative relationships across departments to support data-driven decision-making.
The Data Engineer will enhance and maintain data capabilities focusing on automotive industry data. Responsibilities include developing data pipelines, resolving data issues, collaborating with stakeholders, and generating insights from complex datasets.
The Staff Data Engineer will design scalable data pipelines, optimize performance, and manage data governance while collaborating with architecture leadership. They will support BI development using tools like Looker and ensure alignment with business goals by validating requirements with stakeholders.
As a Data Engineer I, you will manage data models, ensure data fidelity and accessibility, collaborate across teams on KPIs and metrics, and enhance the analytics data stack for better efficiency and timely insights.
As a Data Engineer at Clover, you will develop and maintain data pipelines, tools for analytics, and machine learning. Collaborate with cross-functional teams to design ETL programs, manage data governance, and improve data quality while leading projects and mentoring junior team members.
As a Data Engineer at StackAdapt, you will design scalable real-time data pipelines and implement custom machine learning algorithms. You'll collaborate with data scientists and engineers, working on microservice architectures for training and inference of ML models, tackling complex problems for an innovative digital advertising platform.
As a Lead Data Engineer, you will design and implement robust data pipelines and storage solutions, optimize data processes, and enhance efficiency. You'll automate ETL processes for blockchain data analytics, utilize Snowflake for data management, and collaborate with product teams to articulate data strategies, while promoting best practices in data engineering and cloud infrastructure.
Exadel is seeking a highly experienced Senior AWS Developer to design and implement complex Data applications using AWS services, Spring framework, Apache Camel, Kafka, and SQL. Responsibilities include developing Java-based applications, real-time data processing, data transformation logic, and staying updated with industry trends.
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