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Build and deploy Azure-based data pipelines and integrations for UK financial-services clients, using SQL, Python, and Snowflake to migrate and transform data.
Builds and maintains scalable data pipelines, APIs, and data products for a federal health data modernization initiative, integrating diverse defense/federal datasets to improve information access and decision-making.
Position: Senior Data Engineer / Databricks Engineer Location: Dallas, TX Duration: Long Term Client: SWA Experience: 7 Years Role Overview We are looking for a strong Senior Data Quality Engineer / Databricks Engineer…
Build and own end-to-end data pipelines from production databases into a governed lakehouse and Snowflake warehouse, transforming raw data into trusted metrics for analytics, AI, and business teams.
We’re looking for a Data Engineer to improve our data infrastructure and integration workflows. This role is a great fit for someone who can quickly step into an existing environment, bring strong technical expertise,…
The Solution Architect designs technical solutions, data models, and integration patterns for client engagements while building prototypes to validate architectural decisions. This role bridges the gap between high-level system design and hands-on implementation to unblock delivery teams.
The Senior Data Engineer will design and implement end-to-end AI features, including data pipelines, Generative AI, and agentic workflows. The role involves building scalable systems using Python, SQL, and modern frameworks like LangChain and Spark while managing MLOps practices across major cloud platforms.
Builds and deploys data models, ML pipelines, and AI-driven analytics to extract insights from complex datasets, using SQL, Python, and cloud platforms like AWS/GCP. Bridges technical and business teams by translating data into actionable strategies.
Lead a team to architect and build scalable data pipelines and warehouse models in Python and SQL, enabling reliable analytics and reporting for a global fertility and family care platform.
The Lead Data Architect designs and evolves enterprise data structures and architecture patterns using the Azure Data Platform and Databricks. This role provides technical leadership to data engineering teams while ensuring data solutions meet regulatory, security, and scalability standards.
Builds and maintains data pipelines (ETL/ELT) for batch/streaming workflows, ensuring data quality via testing and validation scripts. Works with SQL, relational databases, and Agile teams to support data integration and troubleshooting.
Principal Architect designs and leads Azure-based data platforms and modernization programs, guiding teams to build scalable, AI-enabled solutions while mentoring architects and promoting engineering best practices.
The Senior Snowflake Data Engineer will design, develop, and maintain scalable data pipelines and ETL/ELT workflows while optimizing Snowflake data models for performance and cost. The role involves close collaboration with cross-functional teams to support data-driven business objectives.
RESPONSIBILITIES: Kforce has a client in Plano, TX that is seeking a Software Engineer. Responsibilities: * Design, develop, and maintain scalable software solutions that extract, transform, and load (ETL/ELT) data…
Builds and maintains data pipelines using Databricks, focusing on ETL/ELT processes, data quality, and cloud-based data processing with Delta Lake, PySpark, and Unity Catalog.
Lead a team to design and build Microsoft Fabric data pipelines and models, enabling enterprise analytics and reporting with Power BI.
Manulife Financial Corporation seeks a Data Engineer to design, develop, and operate scalable Azure-based data platforms. You will build batch and real-time pipelines, develop ETL/ELT processes, and support data…
Build and maintain scalable data pipelines to transform raw data into insights for AI solutions, collaborating with data scientists and engineers.
Builds and maintains scalable data pipelines to process raw data into actionable insights, collaborating with data scientists and engineers. Core techs: Python, SQL, ETL/ELT, and database architectures.
Build and maintain Mettler-Toledo’s central data platform using Databricks, Snowflake, and Python to power analytics and AI across the company.
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