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Senior Data Engineer (Remote within the UK)
Senior Data Engineer builds and scales Chip’s data platform using Databricks, Python, PySpark, and SQL to enable a data-driven fintech wealth app.
Data Engineer, Development (52338)
Builds and maintains data pipelines in Microsoft Fabric (Data Factory, OneLake, PySpark/SQL) to ingest, transform, and model data for business intelligence and analytics, ensuring operational stability and data quality.
Hybrid Data Engineer - Python, Databricks & Snowflake
Build and optimize large-scale data pipelines in Python and PySpark using Databricks, Snowflake, and AWS to power machine learning and GenAI initiatives.
Staff Software Engineer, Applied AI
Build and refine AI-powered leadership coaching systems using LLMs and enterprise data to deliver personalized, context-aware guidance at scale for Fortune 500 clients.
Senior Enterprise AI Platform Engineer
Designs and maintains AI/ML infrastructure and data pipelines for Stanford Health Care, enabling secure deployment and monitoring of data-driven healthcare solutions using cloud platforms like Azure and Databricks.
Senior Enterprise Data Engineer
Designs and builds data pipelines and curated data structures for Stanford Health Care’s enterprise data platform, enabling analytics that improve patient outcomes and research.
Lead Reporting Analyst, Patient Experience Analytics and Reporting
Leads the design and maintenance of patient-experience analytics and reporting using Databricks, Tableau, and Qualtrics to deliver dashboards and insights that help leaders and clinicians improve care.
Part-time Data Engineer Consultant
Part-time consultant builds and maintains data pipelines and cloud-native analytics platforms, working with clients to turn raw data into business insights using Python, SQL, and modern data stack tools.
Senior Data Engineer
Data bliver først til værdi, når den bliver til beslutninger, nogen kan handle på. Det er dér, vi kommer ind: vi hjælper vores kunder med at få reelle resultater ud af data, de i dag ikke udnytter. Vi bygger…
Data Engineer
Senior Data Engineer builds and maintains Azure-based cloud-native data platforms, pipelines, and integrations for a modern data ecosystem in a fintech setting.
Data Engineer (AWS + Databricks)
Build and optimize scalable data pipelines on AWS and Databricks using PySpark, Spark SQL, and Delta Lake for ETL/ELT workflows.
AWS Data Engineer
Builds and maintains scalable AWS-based data pipelines using PySpark, AWS Glue, and Lambda to transform and process large datasets, while automating workflows with Terraform and CI/CD tools.
Google Cloud Platform Data Engineer
Builds and maintains scalable data pipelines and cloud-based data platforms on Google Cloud Platform using Python, SQL, PySpark, BigQuery, and Airflow.
Data Engineering Tech Lead (Remote)
Lead a healthcare data platform using Informatica ETL, Azure, Databricks, and PySpark to build and maintain secure, high-quality data pipelines and warehouses.
Credit Risk Models - Data Scientist.
Design and implement credit risk models (scoring, ratings, early alerts) using ML/AI and cloud data processing in AWS for a Mexican bank.
AI Analytic Software Engineer-Senior
Senior AI Analytic Engineer at NetSage designs, develops, and deploys AI and analytics solutions for national security, integrating APIs like OpenAI and AWS Bedrock, and building front-end experiences with AWS Amplify and React.
Application Developer-Mid
Designs and builds secure, full-stack applications and APIs for national security missions, using Python, Java, JavaScript, and cloud platforms.
Generative AI Developer with Python Expertise
Build and deploy generative AI models in Python using TensorFlow and PySpark, then integrate them into cloud platforms like Azure or AWS to solve business problems.
Hybrid Data Engineer: AWS Data Pipelines with PySpark
Builds and maintains AWS data pipelines using PySpark and Python, handling ETL workflows, data quality checks, and cloud infrastructure managed via Terraform and Docker.
Senior Data Engineer – 8+ Years Experience
Senior Data Engineer builds and maintains scalable data pipelines, cloud data platforms, and analytics solutions using Python, SQL, Spark, and cloud services to support business analytics and AI initiatives.