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Cloud Risk Data Scientist: KRI & Data Lineage
Develop and optimize Key Risk Indicators (KRI) systems for regulatory compliance, migrating data from Teradata/SAS to Google BigQuery while ensuring data lineage.
Credit Data Engineer
Build and maintain the global underwriting data fabric that feeds AI-driven credit scoring, real-time risk decisions, and regulatory reporting for a fintech company.
Ai data governance and data management
Leads enterprise-wide AI data governance and management, setting policies for data quality, privacy, and responsible AI use while collaborating with engineering, security, and compliance teams.
Data Engineer
Design and maintain scalable data pipelines and warehouses using cloud platforms (Azure/AWS) to deliver trusted datasets for analytics and reporting.
Senior enterprise data engineer
Lead the design and governance of enterprise-scale data platforms, including data lakes, warehouses, and Denodo virtualization, while overseeing Qlik Talend pipelines and real-time CDC with IBM Watson X automation.
AI Data Engineer
Designs and maintains AI-ready data pipelines, feature stores, and curated datasets to power machine learning models, generative AI, and real-time analytics using cloud-native tools.
Senior data engineer
Senior Data Engineer builds and optimizes scalable data pipelines, warehouses, and ML-ready systems in Python and SQL, mentoring junior engineers while ensuring clean, accessible data for analytics and AI.
Senior data engineer
Senior Data Engineer builds and optimizes scalable data pipelines, warehouses, and ML-ready systems in Python and SQL, mentoring junior engineers and driving data-driven decisions.
Data Architect
Design and deliver enterprise-scale GCP data platforms for AI and analytics, building secure, scalable pipelines and governance frameworks for government or regulated clients.
Technical Lead - Data Engineer
Main responsibilities Lead hands-on design and development of end-to-end Microsoft BI solutions - including ETL pipelines (SSIS), semantic models (SSAS Tabular), and reporting layers (SSRS, Power BI) - across multiple…
Senior Associate - Data Engineer (AWS Lakehouse, Analytics Engineering & Reporting)
Build and maintain a secure AWS Lakehouse platform for analytics, reporting, and AI using Spark, dbt, Iceberg, and QuickSight to deliver trusted data products and dashboards.
Lead Data Engineer (Microsoft Fabric)
Lead the design and implementation of ETL pipelines and data models in Microsoft Fabric to unify ERP data for AI and analytics, ensuring data quality and scalability.
Senior Business Analyst
Senior Business Analyst gathers and documents business requirements for finance data systems, KPIs, and BI tools to improve reporting and data governance.
AI Engineer
Build AI-augmented finance apps, analytics, and automation using Python, SQL, and cloud ETL pipelines (Databricks preferred) to support credit risk modeling and IFRS 9 ECL validation.
Senior Системный аналитик
Senior системный аналитик проектирует и интегрирует data-платформенные решения для HR-аналитики и AI-агентов, включая ETL-пайплайны, хранилища и API.
Data Architect (REF5750O)
Designs and governs enterprise data models, pipelines, and integration patterns to power analytics and business capabilities using cloud platforms and modern data stack tools.
Data Engineering Manager
Lead a team of Data Engineers to modernize TheFork’s data platform using AWS, Snowflake, and Airflow, implementing Lakehouse and Data Mesh principles to power analytics and business insights.
Senior Data Engineer (AI Data Platform)
Build and optimize a production-scale AI data platform using Snowflake, dbt, and Airflow, refactoring schemas and pipelines to improve performance, reliability, and cost efficiency.
Senior Manager, Global Patient Operations Data and AI Analytics
Senior Manager , Global Patient Ops Data and AI Analytics Location: Seattle 1616 Eastlake - WA - US Time Type: Full time Job Description Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that…
Data Designer
Designs and manages data governance frameworks, metadata, and lineage for a financial institution, ensuring regulatory and privacy compliance.