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Senior Backend Engineer builds and optimizes multi-tenant data services in .NET/C# and PostgreSQL for HR pay equity and compensation analytics, using AI agents for development and review.
Principal Backend Engineer builds and shapes the data/AI backend for a marketing automation platform, writing Python services on AWS serverless and leading Databricks medallion pipelines to power AI-assisted analyst workflows.
Build and maintain a real-time liability and risk platform for a sportsbook, using Java and Flink to process bets and deliver live exposure insights.
Build and maintain scalable data pipelines and models to unify fragmented private-market investment data into a clean, real-time platform using Python, Azure, and Delta Lake.
Builds and maintains scalable data pipelines on Trino/Iceberg for Wise’s Lakehouse platform, transforming raw financial data into high-quality, auditable reports while mentoring engineers and collaborating with finance teams.
Builds and optimizes scalable data pipelines on a Trino + Iceberg Lakehouse to power financial reporting and analytics for millions of daily events.
Lead a team to architect and build a modern, scalable Azure/Databricks data platform handling industrial sensor data, while mentoring engineers and collaborating with data scientists.
Senior Data Engineer builds and optimizes OLTP databases and scalable data pipelines to power analytics and ML, using SQL, Python, AWS, and dbt.
Build and maintain Microsoft Power BI and Fabric data models, ETL pipelines, and dashboards to support data-driven decisions in a consumer ecommerce business.
Principal Data Engineer designs and builds scalable data pipelines on Databricks/AWS or Azure, using PySpark, SQL, and Delta Lake to migrate customers to cloud data platforms.
Build cloud-native apps in C#/.NET on Azure, design Microsoft Fabric data architectures, and integrate LLMs—while troubleshooting production systems in a fast-paced startup.
Design and deliver scalable data platforms and pipelines for clients in regulated sectors like banking and life sciences, enabling AI and analytics use cases.
Principal Data Engineer builds and secures Azure-based data platforms (ADF, Databricks, Lakehouse) to power real-world decision-making and modernize large-scale systems.
Principal Data Engineer at Royal London designs and builds scalable data pipelines and platforms using Python, SQL, Databricks, and Azure tools to enable AI-driven insights for pensions and investments.
Build and maintain large-scale data pipelines and curated datasets for a modern Lakehouse and AI data platform, using Python, SQL, Spark and Snowflake to support analytics and AI use cases at a global bank.
Build and maintain scalable data pipelines and cloud-native infrastructure to ingest and optimize multi-modal scientific datasets for ML model training in drug discovery.
Build and optimize cloud-native data pipelines and lakehouse infrastructure to process multi-omics datasets for ML-driven drug discovery in a TechBio company.
Build secure, scalable data pipelines and platforms for government clients, transforming sensitive data into trusted assets for analytics and AI using Python, SQL, and cloud tools.
Principal Data Engineer builds and leads a scalable data platform at an e-commerce photo-products company, focusing on trustable, decentralized data adoption and AI-driven customer experiences.
Senior Data Engineer builds scalable Azure-based data pipelines and Power BI semantic models for a UK plant-hire firm, focusing on telematics, ERP, and IoT data to improve operations and reporting.
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