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Design and build enterprise data warehouses, ETL/ELT pipelines, and BI dashboards for a global SaaS provider, ensuring clean, governed data across finance and supply-chain domains.
Senior Data Engineer builds and scales high-throughput pipelines and data-quality frameworks to power fraud/AML/transaction-monitoring decision engines for a European fintech.
Build pricing and demand models in Snowflake and Python to guide commercial decisions for a moving company, designing experiments and quantifying revenue impact.
Senior data scientist building pricing, demand, and elasticity models for a moving/logistics company, owning end-to-end pipelines, optimization, and causal measurement to drive multi-million-dollar commercial decisions.
Design and implement large-scale data architectures using Databricks Lakehouse, Apache Spark, and Delta Lake, while optimizing cloud costs and governance for global enterprise clients.
Leads data architecture, pipelines, and databases for Oportun’s fintech platform, designing scalable solutions for credit/financial data while mentoring engineers and collaborating cross-functionally.
Lead the architecture and scaling of Foodsmart’s data platform, owning pipelines, dbt, and warehouse infrastructure to deliver reliable, HIPAA-compliant insights for analytics, BI, and AI tools across 2.2M members.
At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system. We do this by putting AI at the core of both our technology and our way of working. Our AI-driven…
Principal engineer leading architecture and development of a globally distributed AI and data platform for Microsoft’s real-time communication services, using Azure, Kubernetes, and open-source tools.
Leads a team of data engineers to design and automate scalable data pipelines, frameworks, and CI/CD workflows for a government contractor’s data infrastructure, using Python, SQL, Terraform, and cloud platforms like Databricks/Snowflake.
Entry-level role assisting senior engineers in building and maintaining government data pipelines, monitoring performance, and ensuring data quality using SQL, Python, and cloud platforms.
Builds and maintains scalable data pipelines using Python, SQL, Spark, and cloud platforms (AWS/Azure) to ensure high-quality, automated data flows for a government-focused platform.
Build and deploy ML models and pipelines that power Adyen’s data products, from research to production monitoring and business impact measurement.
Build and maintain data pipelines, clean and standardize datasets, and ensure high-quality data access for analytics using Python, .NET/C#, SQL, Databricks, PySpark, and AWS.
Build and maintain scalable data pipelines and analytics products, transforming raw data into reliable, reusable assets for statistical models and business decisions using SQL, Python, Spark, and cloud platforms.
Design and ship cloud-native AI solutions (RAG, agents, LLM integrations) in Python, owning architecture and client delivery for global enterprises.
Builds and maintains data pipelines and models for a compensation intelligence platform using dbt, Airflow, and cloud data warehouses to power real-time pay decisions for enterprise customers.
Build and scale Patreon’s data pipelines and streaming platforms (Kafka, Spark, Airflow) to power real-time features, analytics, and ML systems for creators and fans.
Build and operate a modern data platform for a large game studio, modernizing analytics pipelines, schema management, and Databricks delivery using Java, Python, Kafka, Spark, and AWS infrastructure.
Build and deploy ML models and LLM-powered agents to automate data analysis and workflows for a global financial markets data provider.
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