Top Data Jobs in Calgary
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 Campaign Data Analyst will be responsible for Campaign Analytics supporting all Wealth businesses, including improving efficiency, generating revenue, and providing actionable insights to senior leadership. Key responsibilities include working on the Wealth Leads optimization project, automating processes, creating reporting infrastructure, and managing campaign performance measurement.
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.
The Senior Data Architect will work with cross-functional teams to define data requirements, technology stacks, and develop data architecture. Key responsibilities include establishing best practices, providing architecture governance, designing data solutions, and ensuring alignment with business needs and security requirements. The role involves hands-on development and strong client interaction.
The Senior Data Analyst will facilitate strategic growth by analyzing marketing campaign performance, improving KPIs, and collaborating with leaders across functions. The role involves tracking ROI, conducting data deep dives, and optimizing marketing processes to enhance operational efficiency and inform investment decisions.
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.
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.
As a Data Scientist at McAfee, you will analyze large datasets to profile and transform data while building customer 360° views. Your responsibilities include using SQL and Python for querying and data analysis, collaborating with stakeholders, and maintaining documentation of data processes.
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 4 role involves developing and overseeing the company's data systems, optimizing database solutions, managing data migrations, and ensuring compliance with regulations. The incumbent will analyze data needs, recommend improvements, and collaborate with product teams for strategic initiatives, ultimately enhancing customer experiences.
The Senior/Staff Data Engineer will design scalable, real-time data pipelines for StackAdapt's digital advertising platform, work on big data ML pipeline improvements, implement custom ML algorithms, and collaborate with data scientists and engineers on complex projects.
The Senior Data Analyst will own the analytics of games, collaborating with various teams to meet data needs and improve game performance through data-driven projects. Responsibilities include managing reports, enhancing BI technologies, optimizing ETL processes, and overseeing Junior Data Analysts.
The Senior Data Scientist will focus on developing Machine Learning models for pricing strategies and product recommendations, optimizing consumer experiences through scalable data pipelines, and collaborating with various teams to measure effectiveness of these models through controlled experiments.
The Senior Manager Data Visualization will design and develop reports and dashboards, collaborate with data teams for data quality, interpret data models, and apply UI/UX practices to enhance stakeholder engagement.
The Senior Data Scientist will design and implement cutting-edge ML models for consumer pricing and recommendations, develop data pipelines, and collaborate with cross-functional teams to optimize consumer journeys. Responsibilities include creating algorithms, conducting experiments to validate solutions, and maintaining feature stores for scalability and performance.
As a BI/Data Visualization Developer, you will design and create dashboards and visualizations based on business needs, collaborate with data teams to ensure data quality, and apply UI/UX principles to improve stakeholder engagement. This role demands at least 2 years of experience in data analysis and strong skills in various visualization tools.
The Senior Data Curation Engineer will develop high-quality data products on the Databricks platform, ensuring they meet curation specifications and governance standards. The role involves collaborating with technical data stewards and business users, following Agile methodologies, documenting data products, and implementing change requests.
The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.
As Head of Data Science, you will lead all aspects of data science including statistical methods and data analytics. You will oversee a team of data scientists, manage large complex datasets, and collaborate with product managers and engineering. Your role will enhance data-driven insights to inform decisions and drive product improvements.
The Senior Data Migration Engineer will oversee the migration of data to Google Cloud Platform, analyze data structures, design migration strategies, and ensure data integrity and security. Responsibilities include optimizing migration processes, providing technical guidance, and documenting best practices while collaborating with various stakeholders.
As a Senior Data Analytics Developer, you'll develop new features, standardize formats, optimize data processing, and enhance system performance by transforming event data and enabling efficient data pipelines for analytics.
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 an Entry-Level AI Data Rater, you will conduct research on e-commerce data, evaluate product filters and results, and rate data according to specific guidelines. This is a flexible freelance position offering learning support and opportunities in the AI field.
As a Principal Data Analyst, you'll transform large datasets into insights, architect analytical solutions, mentor analysts, and collaborate with product managers and engineers to derive actionable insights. You'll also conduct complex data analyses and use visualization tools to communicate insights effectively.
The Data Scientist III role involves applying data management principles, advanced statistical methods, and machine learning techniques to solve business problems. Responsibilities include developing and validating analytical models, deploying them in production, conducting exploratory data analysis, and creating data visualizations. The position also requires translating business challenges into data-driven solutions and mentoring junior associates.
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