Top Data Engineer Jobs in Calgary

The Data Migration/ETL Developer will analyze complex datasets, develop ETL processes, and build data products on Azure. This role involves collaborating with teams to create data-driven solutions, optimizing data systems, and preparing data for stakeholders. The position requires experience in data engineering and cloud-based systems management.

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.

As the Senior Data Engineer, you will own Honeycomb’s data platform, designing and maintaining scalable solutions for data access. You will collaborate with various teams to drive innovation in data quality and reliability while leading critical projects that shape the company's data capabilities.

As a Senior Data Engineer at Honeycomb, you will be responsible for architecting and building a modern, scalable data platform. Your role will involve owning the Snowflake data warehouse, building scalable data systems, collaborating across teams, and driving innovation in data quality and reliability. You'll have a crucial impact on the company’s data-driven decision-making processes.

The ML Data Engineer will develop and manage robust feature engineering ETL pipelines for machine learning applications. Responsibilities include optimizing low-latency data pipelines, supporting the ML lifecycle, and ensuring compliance and data governance. Close collaboration with data scientists and other teams is essential to align data efforts with business needs.

As a Data Architect/Principal Data Engineer at Scribd, the role involves leading the design and development of data architecture, guiding data modeling, integration, processing, and delivery standards for modern data products. This position requires expertise in building robust data systems, developing data pipelines, and collaborating with cross-functional teams to enhance data strategies for customer satisfaction.

The MPD Engineer/Data Analysis Specialist at Opla Energy will manage MPD project preparation, conduct technical presentations, support R&D and sales teams, design MPD strategies, develop Python-based data analysis tools, and ensure compliance with safety and regulatory standards. They will analyze drilling data and collaborate with teams to enhance workflows.

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.

As a Sr. Data Platform Engineer, you will enhance Stability's data platform using AWS and GCP, architect data pipelines, develop data strategies, and mentor team members. Responsibilities include managing infrastructure-as-code, analyzing large datasets, and making technical decisions about data platforms.

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.

As a Data Operations Engineer at Labelbox, you will optimize data labeling workflows, utilizing Python and SQL to automate tasks and troubleshoot issues. You'll improve data quality, ensure efficient operations, and integrate third-party tools. Your role emphasizes building and maintaining tools, technical support for labelers, and monitoring performance metrics.

As a Senior Data Migration Engineer, you will lead the migration of data to Google Cloud Platform, design migration strategies, and ensure data integrity and security. You will collaborate with technical leads and stakeholders, optimize migration processes, and document best practices, leveraging strong skills in GCP services and data migration tools.

The Staff Data Engineer will collaborate with enterprise customers to design and optimize data pipelines, enhance ingestion architectures, and support proof-of-concept sales engagements. Responsibilities include optimizing data models and working closely with the platform engineering team.

As a Senior/Staff Data Engineer at StackAdapt, you will architect scalable low-latency backend systems, build data integration solutions, and address technical challenges. You'll collaborate with engineers to develop big data pipelines while promoting software best practices and contributing to team growth.

As a Senior Software Engineer on the Data Platform team at Coinbase, you will design, build, and operate foundational data services, develop data integration SDKs, and create self-service applications for data management and security. You will work with data systems and pipelines, ensuring scalability, security, and efficiency in data processing for analytics and machine learning.

The Senior Data Engineer role focuses on building and maintaining data pipelines and cloud infrastructure to support blockchain data analytics. Responsibilities include data modeling, optimizing data processes, and collaborating with teams to enhance data strategies. The position also involves automation of data workflows and improving data infrastructure.

As a Senior Data Analytics Developer, you will contribute to building data models and data marts, as well as enhancing data observability. You will work with advanced technologies to create scalable data pipelines and collaborate with teams to define data requirements, optimize processes, and ensure data standards are met.