Top Data Engineer Jobs in Ottawa

The Guidewire Data Engineer will design and develop data models in Snowflake, write complex SQL queries, and leverage ETL/ELT tools like Apache Nifi and Talend. Key responsibilities include optimizing cloud-based data warehouses and integrating Guidewire Claims Center with various data platforms for efficient claims management workflows.

As a Data Engineer at Tiger Analytics, you will design, build, and maintain data pipelines and data infrastructure. You will work closely with data scientists and analysts to enable data-driven decision-making and ensure efficient data flow across the organization.

As an NLP Data Engineer, you'll design, build, and maintain data pipelines for automated trading systems, manage subsystems, and engage in R&D of machine learning models to enhance execution systems.

As a Data Engineer at Edge & Node, you will develop and maintain data ingestion adapters for various blockchain networks, implement data ingestion strategies, handle data quality checks, and optimize block ingestion processes. You will collaborate with upstream data sources and contribute to the growth of a decentralized web3 ecosystem.

The Data Engineer will build and maintain Perplexity's data pipelines and infrastructure, working with cross-functional teams to support analytics and machine learning applications, while ensuring scalable and efficient data processing systems.

The Data Engineer is responsible for developing robust data pipelines and ensuring the quality and security of data integration processes. This includes participating in agile teams, performing integration testing, and diagnosing data quality issues. Strong communication skills and client-facing experience are essential for driving project delivery and supporting customs' success through collaboration.

The Staff Data Engineer will design and implement scalable data solutions, optimize data infrastructure, support Business Intelligence product development, and manage data workflows. The role involves collaboration with stakeholders to ensure alignment between data solutions and business requirements, while utilizing cloud-native technologies.

As a Data Engineer I at Coalition, you will maintain data models and ensure data accuracy. You'll also collaborate with various teams to report on performance metrics and improve data processing efficiency. This role requires strong SQL skills and proficiency in data visualization tools to support business intelligence needs.

As a Senior Data Engineer, you will design, build, and maintain data pipelines on Google Cloud Platform (GCP). Responsibilities include developing scalable data models, utilizing GCP services for data processing, and ensuring data architecture's performance and reliability while collaborating with cross-functional teams.

As a Data Engineer, you will build and optimize data pipelines and architectures using cloud platforms for international clients. Your role includes collaborating with data experts to develop solutions, expanding data architecture, and ensuring data governance. You will have responsibilities in assembling complex data sets and optimizing ETL/ELT processes.

As a Senior Data Engineer, you will build healthcare data products and pipelines, ensuring a secure and available data platform. You will collaborate with cross-functional teams, architect scalable solutions, and mentor other data engineers while addressing technical challenges and promoting a data-driven culture.

As a Data Engineer at Clover, you'll develop data pipelines, tools for analytics and machine learning, and work on data governance and ETL processes. Collaboration with various teams and external parties is essential to ensure data accessibility and improve healthcare outcomes.

Senior Data Curation Engineers at McAfee develop high-quality, curated data products on the Databricks platform. They collaborate with Technical Data Stewards and business end-users, ensuring data products meet specifications and governance standards. Responsibilities include data modeling, aggregation, implementation of ETL/ELT processes, and maintaining data quality.

The BI & Data Visualization Developer will design, develop, implement, and maintain reporting solutions to support business decisions. Responsibilities include developing dashboards, collaborating with teams to ensure data quality, and translating stakeholder requirements into technical documentation.

The role involves developing high-quality curated data products using SQL/SparkSQL in the Databricks platform, ensuring alignment with business needs, and adhering to governance standards. It requires collaboration with Technical Data Stewards and documentation of data products, employing Agile methods.

The Lead Data Engineer will design and develop solutions within Snowflake, manage data warehouses, oversee data ingestion pipelines, and ensure data governance. Responsibilities include mentoring junior engineers and optimizing data delivery systems for international clients.

As a Senior Data Analytics Engineer, you'll build and deploy an Enterprise Data Warehouse, define data needs across functions, write data transformation code for ETL/ELT, mentor junior team members, optimize data pipelines, and ensure data quality through testing and documentation.