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Foundry Data Engineer - AI Pipelines & Impact (Flexible)
Builds and maintains AI/ML data pipelines on Palantir Foundry using Python and PySpark to deliver client solutions for European enterprises.
Data Engineer
Builds and maintains data pipelines and transformations using Python, PySpark, and notebooks for a new UK-focused data product.
Data Engineer
Build and maintain cloud-based data pipelines and warehouses using Databricks, Snowflake, or MS Fabric to enable data-driven decisions for global clients.
Data Engineer
Senior Data Engineer builds, optimizes, and maintains high-volume data pipelines in GCP and on-prem using Python, PySpark, ETL tools, and Rust for performance-critical components.
Data Engineer
Build and maintain scalable data pipelines and platforms using Azure, Databricks, PySpark, and Python to enable analytics and AI workloads.
Senior Data Engineer: Lead Scalable Pipelines
Leads scalable data pipelines using SQL, PySpark, and Python, optimizing processes and mentoring engineers to improve data solutions.
Data Engineer
Design and build scalable data pipelines and warehouses in cloud/on-prem, using SQL, Python, Spark and GCP to deliver analytics-ready data products.
Senior Application Developer
Senior developer builds and maintains liquidity-risk apps in Java/Talend, working 50% on new code and 50% on support and batch processes for a large Canadian bank.
Data Engineer
Design and build cloud and on-premise data platforms, ETL pipelines, and warehouses using SQL, Python, BigQuery, DBT, Airflow, and Trino to support analytics and reporting.
Senior Data Engineer: Databricks & Azure Pipelines
Designs and builds scalable data pipelines on Databricks and Azure, using Python/PySpark and Azure Data Factory to integrate and process large datasets.
Data Engineer
Designs and builds scalable Azure-based data pipelines and warehouses using Databricks, PySpark, and SQL for a supply-chain-focused product team.
Cloud Data Engineer — Data Lake & ETL Pipelines
Design and scale cloud data platforms, build ETL/ELT pipelines, and model data for analytics in Azure or AWS.
AWS Cloud Data Engineer — ETL, PySpark & Data Pipelines
Designs and maintains AWS-based data platforms, builds scalable ETL/ELT pipelines using PySpark, and manages cloud infrastructure for data processing.
Data Architect
Design and implement a cloud-native data ecosystem on Azure for a credit union, using Databricks, Spark, Unity Catalog, and Purview to build secure, scalable, and compliant data pipelines and governance frameworks.
Senior Data Engineer: Scalable Pipelines & Data Quality
Build and optimize scalable data pipelines and models for a gaming-focused HR platform, ensuring data quality and governance using Python, DBT, Airflow, PySpark, and AWS.
AI Data Engineer: LLM Pipelines & Tuning
Builds and tunes LLM pipelines, integrating documents from systems like SharePoint and REST APIs, and customizing model behavior for specific tasks.
Data Engineer
Build and maintain Microsoft Fabric pipelines and data models using PySpark, following medallion architecture to deliver scalable analytics solutions.
Machine Learning Engineer
Build and deploy AI-powered HR and finance systems using LLMs, RAG, and agentic AI to deliver scalable ML solutions and APIs for millions of users.
Data Engineer
Build and maintain data pipelines, models, and dashboards for enterprise clients using Python, SQL, PySpark, Snowflake, and Databricks.
Senior Data Engineer - AI-Driven Data Pipelines (Remote)
Build and maintain AI-driven data pipelines using Python, SQL, dbt, and GCP tools like BigQuery and Cloud Composer for scalable analytics and ML workflows.