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Lead a team building Epsilon Clean Room, a privacy-first data collaboration platform on AWS using Node.js, TypeScript, and event-driven microservices to securely connect enterprise clients.
About the role We are looking for a Senior Data Engineer with strong Databricks experience to build and optimize modern data platforms. You will develop scalable ETL/ELT pipelines, process large datasets and contribute…
About the role We are looking for an experienced Databricks Architect to design and lead modern data platforms built on the Databricks ecosystem. In this role you will define architecture standards, establish…
Part-time student role building data miners and vision-language models to detect road-rule violations in autonomous-vehicle simulation and fleet data using Python, PySpark, and LLM/VLM pipelines.
Build and maintain large-scale data pipelines on Google Cloud Platform using PySpark, BigQuery, and Airflow to process and analyze high-volume datasets.
Designs and builds data pipelines on Google Cloud Platform using BigQuery, DataProc, Composer/Airflow, and PySpark to process large-scale datasets.
Job Summary Seeking a Data Scientist to design scalable data pipelines, automate reporting processes, and develop reusable Python-based data solutions The successful candidate will support incremental and batch data…
Job Summary Seeking a Data Scientist to design scalable data workflows, automate reporting processes, and develop reliable data transformation and ingestion solutions This role will focus on improving operational…
Leads data engineering teams to build and maintain ETL pipelines, data warehouses, and ML pipelines using SQL, Spark, and cloud platforms like Snowflake or Fabric, ensuring reliable data for analytics and AI initiatives.
Builds and maintains Azure-based data pipelines and Lakehouse architectures to ingest, transform, and model financial and operational data for clients, using Databricks, Data Factory, SQL, Python, and AI tools.
Designs and builds Azure Databricks-based data pipelines and governance for a multi-clinic healthcare provider, enabling HIPAA-compliant analytics and AI insights across clinical, financial, and operational domains.
Senior Data Engineer builds and maintains scalable data pipelines and Snowflake warehouses to power analytics, ML, and business decisions at a health-tech company.
Design and build production-grade data pipelines and systems in Python and T-SQL, using dbt, Airflow/Prefect, and PySpark to deliver reliable, scalable data infrastructure for BI and AI workloads.
Build and maintain low-latency trading infrastructure for crypto liquidity, including exchange connections, automated quoting bots, and risk systems using Java/Rust/C++ and FIX/WebSocket.
Build and operate low-latency crypto trading infrastructure, including venue connectivity, automated pricing strategies, and risk systems for a global exchange.
Builds and maintains ETL pipelines using Microsoft Fabric and Azure Data Factory, integrating data into OneLake and Lakehouse with SQL, Python, and PySpark.
Build and maintain enterprise .NET web apps for clients, writing C#/ASP.NET code, optimizing SQL, and supporting systems during off-hours.
Lead a team of data scientists building ML models for dynamic pricing, real-time intent prediction, and personalized travel recommendations using large-scale data infrastructure.
Unpaid internship assisting with data analysis, validation, and automation tasks using Python/PySpark and Excel macros in a consultancy setting focused on digital transformation and AI.
Analyze payment datasets to spot trends, build analytics pipelines, and deliver optimization recommendations for merchants using Python, SQL, and PySpark.
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