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Lead the delivery of a unified, multi-tenant data platform for a real-estate tech company, modernizing legacy systems to a Snowflake-based Data Lakehouse and coordinating cross-team migrations.
Designs and maintains the Snowflake-based enterprise data architecture for a cruise line, defining models and standards that power analytics, AI/ML, and customer insights across marketing, operations, and finance.
Designs and maintains Holland America Line’s Snowflake-first data architecture, defining canonical models and governance to power analytics, Customer 360, marketing, and AI/ML across the travel business.
Skills and Competencies 6+ years of experience in Data Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments 4+ years of hands-on experience designing and…
Position Summary We're looking for a Data Engineer to design, build, and optimize ETL pipelines that ingest and transform priority datasets into an enterprise data platform, using AWS-native services within a…
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.
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