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Data Engineer
Build and maintain scalable data pipelines and cloud-based warehouses using Spark, Python, and AWS services like Glue, S3, and Athena to enable analytics and reporting.
Senior Data Engineer - MS Fabric
Senior Data Engineer designs and builds scalable Microsoft Fabric/Azure data platforms for global clients, focusing on Lakehouse architectures, pipelines, and governance to enable analytics and AI.
Senior Data Engineer
Build and optimize ETL pipelines, data warehouses, and schemas to power a relationship-mapping platform that surfaces decision-maker insights for Fortune 500 clients.
Data Engineer (Azure Databricks) | 1-Year Contract
Build and maintain Azure Databricks ETL/ELT pipelines, implementing Medallion Architecture layers to feed Power BI and Sigma dashboards for a media-focused analytics team.
Analyst - Engineer II
Build, test, and deploy banking software using AWS, Python, and CI/CD pipelines while maintaining secure, scalable systems and documentation.
Senior Data Scientist / Machine Learning Engineer, NLP - 1635
Build and deploy NLP classification models for customer communications using Python, PySpark, and SQL, focusing on intent, topic, sentiment, and multi-label classification.
Sr Data Engineer (Fintech)
Build and scale a modern cloud data platform (Databricks, AWS) to power analytics and AI products, designing pipelines, governance, and enabling ML use cases for a high-growth fintech.
Data Engineer - Machine Learning
Build and maintain scalable data pipelines and ML workflows for a banking analytics project using PySpark, SQL, AWS SageMaker, and MLOps tools like MLflow.
Senior Data Engineer
Builds and optimizes data pipelines, ETL processes, and analytics solutions using Python, PySpark, SQL, and MongoDB to extract insights and drive innovation in client projects.
Azure Data Engineer
Design and build scalable Azure data pipelines with Databricks, Synapse, and Data Factory, integrating batch and streaming sources to power advanced analytics and AI models.
Data Engineer
Build and maintain scalable data pipelines and analytics platforms using Databricks, Spark, and cloud tools to power investment insights and reporting.
Data Engineer (MLOps / Analytics Focus)
Build and maintain scalable data pipelines in Databricks, deploy ML models with MLflow, and create Power BI dashboards to support analytics and reporting.
Data Scientist
Design and deploy AI/ML solutions—LLM-powered HR tools, semantic search, pricing analytics, and anomaly detection—using Python, MLflow, and Databricks to drive data-driven decisions.
Data Analyst (Databricks & Power BI)
Build Power BI dashboards and analyze data in Databricks to deliver business insights for a high-impact analytics initiative in a product-driven company.
Databricks Engineer - Data Analytics & AI Division
Build and optimize cloud-based data pipelines and analytics platforms using Databricks, PySpark, and Delta Lake to support real-time and batch processing for a fintech partner.
Lead Data Scientist
Lead the design and deployment of AI/ML models and advanced analytics to solve business challenges, mentor a data-science team, and drive enterprise-wide AI adoption.
AI Data Engineer (Document Intelligence & GenAI)
Build AI-powered document processing pipelines using OCR, VLMs, LLMs, and RAG to extract and index content from PDFs, images, and other files for enterprise AI assistants.
Databricks Data Engineer (IoT & Cloud Solutions)
Build scalable IoT data pipelines and cloud-native data infrastructure on Databricks and Azure to power analytics and ML for industrial sustainability solutions.
0624DP-326QDR | Data Scientist/MLE Onsite- Seattle
Build and deploy ML models to predict delivery dates, shipping recommendations, and package specs for eBay’s global commerce platform using Python, PySpark, and Spark.