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Manager, Commercial Solution Engineering San Francisco, CA (hybrid, 4 days/week onsite) Sigma is the AI runtime environment for the modern enterprise. Teams build apps, agents, and analytics directly in Sigma, with…
Develops AI/ML models (text/image processing) for clinical research using AWS SageMaker; collaborates with cross-functional teams to deploy models for trial acceleration and healthcare insights.
Leads AWS data platform engineering, designing scalable cloud-native data pipelines and frameworks while mentoring teams and driving innovation in AWS services for enterprise-wide data initiatives.
Data Engineer building and modernizing cloud data pipelines on AWS using Databricks (PySpark, Delta Lake) and Informatica, with a focus on ETL/ELT, data migration from legacy systems, and medallion architecture.
Analyzes Disney+ content performance and audience engagement in LATAM using advanced analytics, SQL, Python, and visualization tools to drive data-driven decisions for streaming strategies.
Analyze Disney+ and linear TV content performance using SQL, Python/R, and visualization tools to drive audience insights and guide programming decisions.
Build and deploy ML models in AWS/Azure for healthcare analytics, refactoring data scientists' code into production batch jobs and optimizing cloud costs.
The Senior Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and cloud-based data lakehouse architectures using AWS and Azure. This role involves collaborating with cross-functional teams to ensure data quality and support analytics, reporting, and AI-driven initiatives.
AWS Data Engineer at an IT solutions consultancy building scalable data systems, warehouses, and pipelines using AWS services, SQL, Python, and Kubernetes-based DevOps.
The Senior Data Engineer designs and maintains scalable data infrastructure and ingestion frameworks on AWS to support financial reporting. The role involves collaborating with cross-functional teams, mentoring junior engineers, and utilizing Python, SQL, and big data technologies.
Design, build, and operate data pipelines for structured and unstructured data using Python and SQL on AWS, supporting analytics, AI/ML, and document processing solutions for federal government clients.
The AI Data Platform Engineer will lead the architecture of enterprise data platforms, managing ingestion, storage, and processing layers. The role involves designing scalable data pipelines and governance frameworks using technologies like Snowflake, Databricks, Spark, and Kafka.
The Cloud Data Architect will lead the design and strategy of enterprise data platforms, focusing on ingestion, storage, governance, and scalable infrastructure. The role involves collaborating with cross-functional teams to implement modern data solutions using technologies like Snowflake, Databricks, Spark, and Kafka.
Employer: EverCommerce Solutions Inc. Headquarters Address: 3601 Walnut Street, Suite 400, Denver, CO 80205 Worksite Address: This is a fully remote position. Work from home benefit provided. Worksites are…
Operate and maintain Databricks and Dataiku platforms, moving data-science projects into production and keeping ML pipelines healthy for humanitarian services.
Leads cross-organizational tech programs at Amazon’s eCommerce Foundation, improving collaboration, efficiency, and best practices across teams using AWS Redshift, Hive, Spark, and Oracle for data-driven decision-making.
Line of Service Advisory Industry/Sector Not Applicable Specialism Technology Strategy Management Level Manager Job Description & Summary At PwC, our people in Cloud, Data and AI focus on leveraging data to drive…
Cloud Engineer leading the design, deployment, and monitoring of AWS and Azure cloud infrastructure, including data pipelines, IaC (Terraform/CloudFormation), and Python/PySpark-based solutions on a hybrid basis in Trenton, NJ.
The Data Scientist will develop and deploy predictive models and production pipelines for automotive valuation services using Python, SQL, and AWS. They will collaborate with engineering teams to optimize data processes and create visual reports to communicate insights to stakeholders.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Customer Success Job Details About Salesforce Salesforce…
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