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The Senior Associate will design, implement, and optimize CI/CD pipelines and infrastructure automation using Microsoft Azure DevOps services. The role involves collaborating across development and operations teams to ensure secure, scalable, and efficient application delivery.
This Data Engineer role involves building and maintaining scalable data pipelines and analytics solutions within the asset management sector. The position requires expertise in Snowflake, Azure, Python, and dbt, with a focus on delivering AI-enabled data platforms.
Lead Data Engineer at an AI-driven SaaS company, owning and growing the data engineering function while staying hands-on with scalable ETL/ELT pipelines, cloud data platforms, and Python/SQL.
Ready to take on your next career challenge? Join Leidos and become part of a high-impact initiative supporting a multidisciplinary team focused on delivering cutting-edge planning, operational, technical, analytical,…
Builds and maintains mission-critical data pipelines for government/military operations, integrating structured/unstructured data from diverse sources into secure analytical environments using cloud platforms (Azure/AWS), Spark, Kafka, and DevSecOps tools.
The Azure Data Engineer will design and maintain scalable cloud-based data pipelines and ETL frameworks using Azure services like ADF, Databricks, and Synapse. The role requires strong programming skills in Java or C# to build reusable components and integrate data across enterprise systems.
The Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and databases to support Department of Veterans Affairs programs. The role focuses on optimizing data performance and integrity using SQL, Spark, Databricks, and Azure cloud analytics services.
Senior Analyst on the Data Analytics and AI Operations team responsible for operating, monitoring, troubleshooting, and improving enterprise data and analytics platforms using Databricks, Snowflake, Azure Data Factory, Python, SQL, Power BI, and MicroStrategy.
The Lead Data Engineer will design and manage scalable data ingestion and integration pipelines to support AI, machine learning, and Generative AI initiatives at BMO. This role involves leading cross-functional teams to build AI-ready datasets and RAG solutions while ensuring data governance and security in a highly regulated environment.
Lead PwC's Data Protection consulting practice in Zürich, driving end-to-end data protection solution implementations, managing vendor partnerships, and expanding the client base using technologies like Microsoft, Broadcom, data masking, encryption, and tokenisation.
The Senior BI Developer will design and maintain management reports and dashboards to support strategic decision-making at Barclays. The role involves advanced data modeling, SQL querying, and data visualization using tools like Qlik, Power BI, or Tableau.
The Power BI Developer will design, develop, and maintain business intelligence solutions, including semantic models, dashboards, and paginated reports, to support client analytics and digital transformation initiatives. The role involves working with SQL, DAX, and various ETL tools to transform complex data into actionable insights.
Join a team of experts dedicated to shaping the future of insurance pricing through the commercialization of innovation, advanced analytics, and emerging technologies. As Manager, Modeling & Best Practices, you…
Designs, builds, and maintains scalable data pipelines, lakehouse architectures, and transformations using PySpark, SQL, and cloud/data tools to power enterprise analytics.
Job Description: ROLE SUMMARY Greenix Pest Control is seeking a Data Warehouse Engineer to own the raw, bronze, and silver layers of our data platform with some duties in gold layer fact and dim modeling, as part of…
The Data Engineer builds and optimizes analytical data pipelines and platforms using SQL and Python to support enterprise reporting. The role involves designing ETL/ELT processes, managing data warehouse structures, and creating semantic models within a cloud-based environment.
The Senior Staff AI/ML Engineer will lead the architecture and operational strategy for Abbott's medical device AI platforms, bridging data science and production engineering. The role focuses on building scalable MLOps infrastructure, ensuring regulatory compliance, and mentoring teams to deploy clinical-grade AI solutions.
Builds and maintains data infrastructure for an AI biomedical research platform, focusing on ingesting, harmonizing, and serving multi-modal neurodegeneration datasets for AI tools like InsightEngine and OpenScientist.
Lead the development and delivery of a modern enterprise data platform using Microsoft Azure technologies. The role involves defining and executing data engineering strategy, managing a team of data engineers, and ensuring scalable, secure data solutions for reporting, analytics, and AI initiatives.
Build and maintain data pipelines and ETL/ELT processes on modern cloud platforms while creating semantic models for business intelligence and supporting self-service analytics via Power BI.
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