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Position Summary We're looking for a Data Architect to support the design, review, optimization, and evolution of an enterprise data environment for a federal government client - including data standards and…
Design AI-driven data pipelines and ML systems for FanDuel’s sportsbook and gaming platforms, using Databricks, Spark, and vector search to turn data into scalable, AI-native products.
We are looking for a Senior / Lead Data Engineer (Freelance) to join project-based initiatives focused on industrial data and AI-driven analytics within the chemical and process industry . Engagement model: ✅ Freelance…
Designs and builds scalable Palantir Foundry data pipelines, ontologies, and governance frameworks to power enterprise analytics and AI at a semiconductor manufacturing company.
Who is Litmus Litmus is building the data foundation that powers industrial AI. AI doesn’t work without real-world, contextualized data - Litmus makes that data usable. As AI adoption accelerates, most industrial…
Build and maintain scalable data pipelines and analytics infrastructure for clinical trial platforms using Python, Spark, and Apache Iceberg, enabling self-service analytics and AI-driven features.
Design and deploy enterprise data platforms using Microsoft Azure, Fabric, Power BI, and SQL Server, building data warehouses, lakes, and ETL pipelines for analytics and AI initiatives.
Analyzes financial data flows and reporting needs to define solutions that bridge business requirements with modern data platforms, using SQL and Excel.
Build and maintain data pipelines, dashboards, and reports for PING Europe’s Azure-based ERP and CRM systems, transforming business questions into trusted insights.
Build and maintain scalable data pipelines using Databricks, Kafka, and Delta Lake to power digital twin platforms, real-time systems, and AI workloads.
Lead the design and operation of Kubernetes-based infrastructure and modern data platforms for a fintech startup modernizing trucking logistics payments.
Design and implement enterprise AI systems using Databricks Lakehouse, PySpark, and cloud services to build scalable data and AI platforms with strong governance.
Build and maintain scalable data pipelines on Databricks using PySpark/Scala, focusing on Delta Lake, streaming, and cloud integration (Azure/AWS/GCP) for clients across finance, retail, mobility, and other sectors.
Design and implement enterprise-scale data architectures and generative AI solutions, leading teams to build cloud-native lakehouses, real-time pipelines, and autonomous AI systems for Fortune 2000 clients.
Senior Data Engineer designs and builds scalable data pipelines using Databricks, PySpark, and cloud platforms (AWS/Azure) for enterprise clients, while leading projects and mentoring junior engineers.
System analyst builds and migrates data pipelines for a government client, reverse-engineering legacy ETL, designing Lakehouse flows, and ensuring data quality in a hybrid stack (Trino, Spark, Kafka, XML/XSD).
Design and build scalable data pipelines using Databricks, Snowflake, and Spark, leading architecture decisions and optimizing performance across AWS/GCP/Azure for client projects.
Senior data engineer designs and builds cloud-based lakehouse data platforms, leads small teams, and advises clients on data architecture and technical proposals.
A bilingual Programme Manager oversees large-scale data programs in French/English, leading governance, risk management, and cross-border delivery for a public-sector data initiative involving land, planning, and corporate registries.
Senior Data Engineer maintains and enhances ETL pipelines for a large US media company, handling data ingestion from 500+ sources and debugging production pipelines using SSIS, Prefect, SQL, and Python.
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