Top Data Jobs in Calgary
Seeking a Staff Data Engineer to lead data engineering initiatives and build analytical solutions. Responsibilities include designing data pipelines, managing data infrastructure, ensuring data quality, and mentoring team members. Requires 8+ years of experience in data engineering and expertise in Snowflake, ETL/ELT, AWS, Python, and DevOps tools.
Seeking an AI Engineer & Researcher to work on building AI systems that accurately understand the universe and aid humanity in its pursuit of knowledge. Responsibilities include building features, monitoring data quality, driving data collection projects, and innovating new data generation methods. Must have strong communication skills and experience in web application development, collaborating in cross-functional environments, and connecting machine learning model behavior to data quality.
Join StackAdapt as a Data Scientist/Senior Data Scientist to innovate ML algorithms, write production code, and prototype potential algorithms and pipelines. Remote First company open to candidates anywhere in Canada. Requires Masters degree or PhD in Computer Science, Statistics, Operations Research, or related field.
Seeking a Data Analyst to build out data insights and infrastructure, provide crucial data insights, and inform business decisions. Responsibilities include managing data pipeline roadmap, performing ad-hoc analysis, collecting and synthesizing data, and building dashboards. Must have 3+ years of experience, strong SQL skills, experience with data visualization tools, and be collaborative and team-oriented.
Join our innovative team as a Sr. Data Scientist and work on cutting-edge AI/ML applications in industries like fleet & EV, Health Benefits, and Corporate Payments. Lead AI/ML model development, collaborate with cross-functional teams, drive rapid prototyping, and mentor junior data scientists. PhD or Master's in computer science or related field with 5+ years of experience required.
Design modular and scalable real time data pipelines, implement custom ML algorithms, work on microservice architectures for ML models, and collaborate with data scientists and engineers at StackAdapt.
The successful candidate will turn data into information, information into insight, and insight into business decisions.
Senior Data Scientist role at RevenueCat to enable developers to make better decisions using unique data collected across the subscription ecosystem. Responsibilities include building predictive models, improving data pipelines, and contributing to data feature roadmap.
Seeking an enthusiastic Entry-Level Data Engineer with a focus on AI to assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives. Responsibilities include data pipeline development, data integration, AI & ML support, data monitoring, and troubleshooting. Preferred skills include practical knowledge of programming languages, SQL, AI frameworks, big data technologies, cloud platforms, data modeling, and strong analytical skills.
Lead the design and development of a robust data architecture, serve as a data and analytics solution architect, establish standards for data modeling and integration, work on batch and real-time streaming infrastructure, collaborate with cross-functional teams to design data solutions, and improve customer satisfaction for internal customers.
As a Senior Data Engineer at Viral Nation, you will design and maintain robust data pipelines, implement efficient data models, integrate data from various sources, optimize performance, enforce data governance, and collaborate with cross-functional teams.
Revinate is seeking an experienced Data Engineering Manager to lead our Pipeline team responsible for building and maintaining a reactive microservices data pipeline processing millions of events daily from hotels worldwide. The role involves leading and coaching a team of data engineers, building and scaling high-volume cloud-native stream-processing pipelines, and driving cross-team technical improvements.
Revinate is seeking an experienced Data Engineering Manager to lead the Pipeline team. This team is responsible for building and maintaining reactive microservices to enable a highly-available data pipeline that processes millions of events, in real-time, each day, from thousands of hotels across the globe. The ideal candidate will have a passion for building a high-volume, cloud-native, distributed stream-processing pipeline and the ability to collaborate with others to drive technical and process improvements.
Join Figment as a Senior Data Engineer to build and manage data pipelines, implement data modeling, and automate data processes. Collaborate with teams to improve data infrastructure and promote best practices in data engineering.
Develop high performance and scalable solutions for extracting, transforming, and loading big data. Design and deploy cutting-edge solutions at scale to drive value from data at Walmart. Support People Data applications ensuring Data Quality and Governance standards. Collaborate with engineering teams globally to ensure data accuracy and quality.
Develop high performance and scalable solutions to extract, transform, and load big data. Design, build, test, deploy cutting-edge solutions at scale. Support People Data applications, ensure data quality, and interact with engineering teams. Implement data quality checks, validation, and cleaning processes.
As a Safety Annotator at Cohere, you will be responsible for improving model safety by labeling, proofreading, and editing machine-written and human-written generations, especially in sensitive content areas. You will need strong English writing skills, attention to detail, emotional resilience, and experience in Content Moderation and/or Trust and Safety.
The Senior Digital Lead - Data & Analytics will be responsible for managing the Data & Analytics area for Finance within the Pet Nutrition sector at Mars, Inc. This role will involve overseeing the implementation of SAP S/4Hana and working on data collection, cleaning, analysis, reporting, and presentation for the ERP Digital Transformation program.
As a Marketing Data & Insights Analyst, you will fully immerse yourself in structured problem solving and data analysis, with the goal of developing compelling, synthesized insights and recommendations that support our growth strategy. You will work with cross-functional teams and multiple data sets to monitor trends driving our performance, identifying strategies for improvement, and using data-derived insights to frame key decisions for our leaders. You will use storytelling skills to persuasively communicate your recommendations to leadership and mobilize teams towards execution.
As a Staff Data Engineer at Fortis Games, you will play a key role in shaping the technical vision and implementation of the data platform. Responsibilities include building and enhancing data infrastructure, ensuring low latency and scalability, driving data quality improvements, and collaborating with cross-functional teams to support business growth.
Senior Data Analyst role at DECA Games, responsible for owning the analytics of games, working closely with stakeholders, and leading BI projects to impact major KPIs. Must have 2-5 years of experience in data analysis, solid SQL knowledge, and experience with visualization tools.
As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.
Lead Data Scientist / Applied Statistician with experience in sequential testing.
Design modular and scalable real time data pipelines, implement architectural improvements for big data ML pipelines, work on microservice architectures, implement custom ML algorithms, and design scalable distributed systems for StackAdapt's digital advertising platform.
Sun Life is seeking a Data Scientist to join their team and empower individuals, families, and communities worldwide. The Data Scientist will work on innovative technology, financial services, and asset management solutions to support clients in achieving lifetime financial security and living healthier lives.
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