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Build and maintain AWS and Databricks data pipelines to support global supply-chain analytics, using PySpark, Glue, Lambda, S3, and Redshift.
Build and maintain data pipelines and models for a market-abuse surveillance system using Python, Java, SQL, and AWS tools to process trade, market, and communications data.
Builds and evolves PostgreSQL-backed data models and services that encode complex domain rules for a code-translation platform used in defense, automotive, and aerospace.
Build and maintain edge-runtime components for a quantum computing appliance using Go and Rust, focusing on crypto-agility, secure updates, and field-deployed Linux systems.
Responsibilities \ Design, develop, and maintain scalable and efficient backend services using Python. Implement and manage Kafka-based messaging systems for real-time data ingestion, processing, and distribution.…
Design and build scalable data solutions on Azure for a global healthcare data platform, focusing on data lakes, governance, and analytics.
Builds automated scrapers and an AI-powered match engine to extract IT hardware inventory from auction sites and pair it with incoming RFQs using Python, Playwright/Selenium, and PostgreSQL/MongoDB.
Data Engineer builds and maintains risk analytics pipelines, ingests new data sources, and optimizes cloud data warehouses for a government analytics team.
Senior Azure Data Engineer designs and implements cloud data platforms, warehouses, and analytics pipelines using Azure Synapse, Data Factory, and Fabric for a 3-month contract.
Design and build modern data platforms on AWS, Azure, and GCP, including cloud data warehouses, streaming pipelines, and automation tooling for enterprise clients.
Data Engineer specializing in Databricks to design and implement scalable data architectures for clients in healthcare, finance, and government, using Delta Lake, Unity Catalog, and PySpark.
Lead a data engineering team to design and maintain scalable ETL/ELT pipelines and data platform architecture for analytics at Veikkaus Oy.
Build and maintain scalable data ingestion pipelines and a unified data platform using Databricks, Microsoft Fabric, Kafka, and Terraform to securely move and transform enterprise data for Bunker Holding Group.
Build and maintain scalable cloud-based data ingestion pipelines using Databricks, Microsoft Fabric, Kafka and Azure services to feed a unified data platform that drives analytics and decision-making.
Build scalable data ingestion pipelines and help design a unified data platform using cloud tools like Databricks and Microsoft Fabric.
Owns the integration layer connecting ERP, PIM, and PLM systems, designing scalable data ingestion pipelines and patterns for reuse across customers while collaborating with AI teams.
Lead a team to design and build enterprise-scale data pipelines and architectures for Novo Nordisk’s AI and data initiatives, ensuring high-quality data assets for patient-focused healthcare solutions.
Build and maintain a real-time data platform for a DeFi/crypto trading firm, designing scalable pipelines and lakehouse architectures to unify analytics across trading, risk, finance, and research.
Backend Engineer builds and maintains scalable data ingestion services and APIs using Python and Terraform-backed cloud infrastructure.
Build and maintain data pipelines, ETL processes, and storage infrastructure to ensure reliable, scalable data flow for analytics and decision-making.
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