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Builds and maintains PySpark pipelines on Databricks for federal clients, designing Delta Lake tables and cloud-native ETL workflows on AWS to modernize data platforms.
Build and deploy enterprise-scale AI and data pipelines on Databricks, using Spark, Delta Lake, and dbt to automate agentic AI solutions and migrate data platforms for clients.
About Agile5: Agile5 Technologies, Inc., is a Woman-Owned Small Business (WOSB) and Information Technology (IT) services firm that specializes in the design, development, testing, integration, and maintenance of…
About Xanadu: Xanadu’s mission is to build quantum computers that are useful and available to people everywhere. At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers. We are creating…
RAVL helps technologists accelerate their careers. At RAVL, we connect strategy with execution, care deeply about the people we work with, and measure success by the lasting impact we leave behind. Our purpose is to…
Build and optimize large-scale data pipelines on Databricks and PySpark, then extend them with LLM evaluation, vector search, and ML model pipelines for AI-powered analytics.
Allata is a global consulting and technology services firm founded in 2016, with 350+ employees across the US, India, and Argentina. We partner with some of the world's largest enterprises to move AI from idea to…
Build and scale Trino/Iceberg-based data pipelines for Wise’s finance team, transforming raw financial events into audit-ready reports using Medallion Architecture and Kafka.
Lead a 5-6 person data engineering team at a Databricks-backed consultancy, delivering ETL/ELT pipelines, cloud migrations, and real-time analytics for EMEA clients using Spark, Delta Lake, and cloud platforms.
Lead a cross-functional team to build and enhance a data ingestion and entity resolution platform using Python, Java, Scala, and big data tools like Spark and Kafka.
Build and optimize cloud-based data pipelines and warehouses for analytics and ML, using AWS, Snowflake, and Python to power transformation programs for global clients.
Build and maintain AWS-based ETL pipelines (Glue/PySpark, Iceberg, Step Functions) and create Amazon QuickSight dashboards to deliver healthcare analytics for operational and strategic decisions.
Lead the technical design of Azure-first data and AI platforms, defining reusable patterns and reference architectures in code while mentoring teams to build scalable, secure, and cost-efficient solutions for marketing and advertising use cases.
Senior Data Engineer builds and maintains Azure-based data pipelines and analytics-ready datasets for Alberta’s Digital Regulatory Assurance System, using Databricks, Synapse, and PySpark.
Senior Data Engineer builds and maintains secure Azure-based data pipelines and products for Alberta’s regulatory compliance system, using Databricks, Synapse, and PySpark.
Build and maintain scalable data pipelines and streaming infrastructure using Spark, Flink, Kafka, and Databricks for reliable, high-performance data processing at scale.
Build and maintain open-source data platforms using Python, SQL, Spark, and Kubernetes; develop ingestion pipelines, debug configs, and deploy dataflows under senior guidance.
Lead the design and build of a cloud-first data platform using Azure, Databricks, and Spark, while coaching a global team to deliver real-time analytics and AI-ready data pipelines.
Design and implement a real-time streaming data architecture using Kafka, Spark Streaming, and Microsoft Fabric to replace batch processing with event-driven pipelines.
Design and optimize Spark/Scala pipelines on Microsoft Fabric/Synapse to build scalable batch and streaming data integration systems for enterprise analytics.
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