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Data Engineer maintaining and developing a DataHub using Scala, Spark, Hadoop, and cloud technologies, responsible for data pipelines, CI/CD, and migrating Hadoop infrastructure to cloud/Kubernetes.
Senior Backend Engineer building production-grade data ingestion, transformation, and delivery pipelines and enhancing REST APIs using Node.js, Java, and AWS services within a cross-functional team.
The Data Scientist manages and analyzes complex, often unstructured datasets for government and enterprise clients, ensuring data accuracy, accessibility, and usability. Core tasks include administering data tools, monitoring pipelines, developing analytical products, and collaborating with AI/ML and engineering teams to support mission-critical decision-making.
Build and maintain data pipelines and data management platforms for a government-focused AI workforce. Uses SQL, Python, and ETL tools to support national security missions.
Builds real-time search and RAG (Retrieval-Augmented Generation) systems for Siri and Apple’s search products, focusing on query understanding, document retrieval, ranking, and ML model integration to deliver instant user experiences like weather, flights, sports, and stock data.
Leads AI/ML projects for a global consulting firm, designing predictive models, ETL workflows, and data pipelines to solve high-stakes business challenges (e.g., cost reduction, revenue growth) using Python, SQL, and cloud tools like AWS/Azure.
Lead AI/ML projects for a global consulting firm, building predictive models, ETL pipelines, and dashboards to drive client outcomes in high-stakes business scenarios.
The Principal Data Platform Architect advises enterprises on designing Snowflake’s Cloud Data Platform, bridging technical and business needs. They lead sales cycles, deliver demos, and collaborate with customers to architect scalable data solutions using Snowflake’s tools and multi-cloud technologies.
Data Analyst at CapTech designs data models, builds ETL pipelines, and visualizes insights to help clients solve business problems using SQL, Python/R, and modern BI tools.
VetsEZ is currently looking for a Senior Azure Integration Engineer for a 100% remote position supporting a large federal government healthcare modernization project. This role will lead the design, development, and…
Leads product strategy and roadmap for Databricks' Lakeflow data engineering platform, defining features for data ingestion, transformation, and streaming while collaborating with cross-functional teams to integrate Data Engineering across the company's data and AI portfolio.
An experienced data engineer for industrial data engineering, focusing on smart manufacturing and IoT, responsible for designing data architecture components, ingestion flows, and data quality rules while coordinating with OT connectivity and ensuring compliance with cybersecurity and export-control requirements.
Design and configure industrial data architectures, ingestion flows, and data lake components (Spark, InfluxDB, PostgreSQL) while ensuring compliance with cybersecurity standards in an IT/OT environment.
Data Engineer building scalable data pipelines, web scraping, and browser automation solutions using Python and SQL to power AI-driven healthcare analytics platforms.
Data Engineer in Lahore building scalable data pipelines, web scraping systems, and data ingestion workflows for AI platforms using Python and browser automation frameworks.
Build and maintain scalable ETL pipelines and cloud data infrastructure to power data-driven decisions and dashboards for a fast-growing B2B SaaS scale-up.
Develop and maintain backend services, data ingestion workflows, and third-party integrations using Go or Python and AWS serverless architectures.
Leads enterprise data platform development including ETL pipelines, data warehousing, and BI integrations for York University’s systems like SIS, PeopleSoft, and Dynamics 365.
Build and maintain trusted data pipelines and analytics foundations for regulatory decision-making in a government agency.
Builds and maintains scalable .NET full-stack apps and cloud-based data platforms using C#, React/TypeScript, and Azure Databricks for data processing, transformation, and governance.
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