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Senior Data Engineer builds and maintains scalable data pipelines using Azure, Databricks, and Power BI to support government digital transformation and analytics.
Build and deliver transaction-monitoring solutions on the Quantexa platform, designing data pipelines, entity resolution, and analytics to meet AML/fraud use cases for a major bank.
Build and maintain Microsoft Fabric data pipelines, Power Apps, Power Automate workflows, and Power BI dashboards to automate business processes and deliver analytics for Bosch’s digital transformation.
Hudson River Trading (HRT) is seeking a People Analytics Lead to own the strategic direction and operational maturity of the People Analytics function, transforming it into an insights-driven strategic partner to the…
Leads the design and implementation of scalable enterprise data platforms using AWS, Azure, or GCP, focusing on ETL/ELT, data modeling, and analytics ecosystems.
Build and maintain data pipelines, ETL/ELT workflows, and analytics platforms using Azure, Databricks, and Airflow to support AI, e-commerce, and BI solutions for enterprise clients.
Design and build scalable ETL/ELT pipelines and analytics platforms using Azure and open tools, collaborating with data scientists and consultants to support digital marketing, e-commerce, and BI needs.
Designs, builds, and optimizes scalable data platforms and pipelines using cloud tools (Azure/AWS), Python, SQL, and modern data stack (Databricks, Snowflake, Kafka, Airflow).
Designs, builds, and optimizes cloud data pipelines and infrastructure for government clients, ensuring high-quality data for analytics and ML.
Lead end-to-end data and AI engineering for production-grade GenAI/ML solutions, from data architecture and MLOps to LLMs, RAG, and prompt engineering, in a global consultancy.
Data Engineer leads complex data migrations between CRM/billing systems (Salesforce, Chargebee, Dynamics), focusing on discovery, mapping, and validation to prevent post-migration issues.
Job Title: Data Warehouse Expert Engagement Type: Consultant – Project Management & Consulting (PMC) and Technical Support Project Phase: Phase 3 – Implementation, PMC, and Technical Support Reporting To: Project…
Lead the build-out of scalable ETL/ELT pipelines and a governed data warehouse for an electric-air-taxi startup, ensuring auditable data lineage and clean access layers for engineering and commercial teams.
Build and maintain scalable data pipelines and cloud-based warehouses using Spark, Python, and AWS services like Glue, S3, and Athena to enable analytics and reporting.
Design and lead enterprise-scale AI/ML architectures, including Generative AI and Agentic AI systems, ensuring scalability, security, and MLOps/LLMOps best practices.
Build and maintain scalable GCP data pipelines, BigQuery warehouses, and dbt models for analytics; optimize costs and performance while ensuring data quality.
Designs and maintains scalable GCP data pipelines using Terraform, CI/CD, and Spark/Beam, while optimizing cloud infrastructure for analytics and data products.
Build and optimize data pipelines in Azure Databricks using Python and SQL, applying Kimball dimensional modeling and Medallion architecture for scalable analytics.
The Senior Director of Customer Success is responsible for leading a team of 8+ Customer Success Executives, supporting our Service Industry sector, including our Healthcare customers. This role drives customer…
Administers and optimizes MBTA’s Tableau Server/Cloud environment, maintaining dashboards, security, and data connections while supporting users and ensuring high availability of BI tools.
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