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Data Engineer (IBM Cognos)
Build and maintain analytics and reporting solutions using IBM Cognos and Power BI to deliver data-driven insights for ING’s Retail Banking team.
Senior Software Developer (Python)
Build cloud-native Python services and APIs that power data-driven network analytics, forecasting, and AI at a major media and entertainment company.
Principal AI Data Engineer
Principal AI Data Engineer builds and deploys GenAI, RAG and agentic AI prototypes using Azure AI Foundry, Databricks Mosaic AI and LangChain on Azure cloud.
Engineering - Dallas - Associate, Security Engineering - 10427759
Build and secure large-scale data pipelines for cyber threat detection, using Kafka, Spark, Kubernetes, and cloud infrastructure to process and analyze security data in real time.
Senior Software Engineer - Coveo Search
Build and optimize Coveo-powered search experiences for Agilent’s websites, ecommerce, and content hubs, integrating AI-driven relevancy, analytics, and data pipelines.
Senior MLOps Engineer | Ingénieur·e MLOps senior
Build and automate end-to-end ML pipelines for retail analytics and forecasting, integrating Oracle, Snowflake, and AWS with Kedro, MLflow, and Docker.
Data Analyst (Junior)
Junior Data Analyst tests data pipelines and dashboards, validates data accuracy, and logs defects for a 6-month contract in Singapore.
UAT Tester (Data Analytics)
UAT Tester validates a data-analytics pipeline, writing test cases for ingestion, validation, transformation, and dashboard outputs while coordinating with vendors to ensure data integrity.
Data Analytics - UAT
Perform user-acceptance testing for a redeveloped analytics system, validating data pipelines from ingestion to dashboards and coordinating with vendors to resolve defects.
UAT Tester - Data Analytics Platform
Test and validate a data analytics platform’s end-to-end pipeline, including ingestion, ETL, and BI dashboards, while coordinating with vendors and internal teams.
Senior Data Engineer
Design and build scalable data pipelines and lakehouse/warehouse architectures to power analytics, dashboards, and AI models using AWS, Databricks, and Snowflake.
Forward Deployed Engineer - AI & Solutions
Build and deploy production-grade AI solutions for enterprise customers, integrating LLMs and data pipelines into Zendesk’s platform while acting as a technical bridge between sales, engineering, and clients.
Data Engineer with AI
Builds scalable data pipelines and AI integrations for Autodesk’s Technical Advisory team, prototyping MCP servers, LLM workflows, and reusable ETL tools to connect customer data with Autodesk platforms.
Presales Customer Success Consultant
Do you enjoy collaborating cross-functionally to deliver innovative customer solutions? Are you excited to help organizations unlock the full value of data, APIs, and AI-enabled technologies? About our Team LexisNexis…
Principal Data Architect
Principal Data Architect defines and leads enterprise data architecture for cloud-native platforms, designing scalable, secure data solutions to support digital transformation and data-driven decisions in wealth management.
Engineering - Dallas - Associate, Security Engineering - 10427751
Build and maintain scalable data pipelines and security analytics platforms to detect cyber threats using Python, Spark, Kafka, Kubernetes, and AWS.
Data Engineer - Mid
Builds and maintains data pipelines and databases for insurance pricing models using SQL, Python, and Airflow to power real-time analytics and business decisions.
Cloud Data Engineer
Build and maintain cloud data pipelines, warehouses, and lakes using AWS and Snowflake to process and analyze financial data, collaborating with data scientists to deploy ML models.
Manager - Data Engineering KDP
Lead data engineering initiatives at a global healthcare company, building scalable data pipelines and AI-driven ML workflows to unify ERP, HR, and consumer data into a common model for analytics and business insights.
Sr Data Engineer
Senior Data Engineer builds and operates enterprise-scale data pipelines on AWS Lakehouse, implementing ELT/ETL, streaming ingestion, and DataOps practices to deliver trusted, analytics-ready datasets for healthcare operations.