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Director, Data Engineer
Lead enterprise data engineering, quality, and governance for a major bank, defining scalable, secure data platforms that support analytics, regulatory reporting, and business operations in a regulated environment.
Principal Databricks Architect Consultant
Leads Databricks-based lakehouse architecture for enterprises, designing Delta Lake, Unity Catalog, and MLflow solutions while advising executives on AI-driven data outcomes and platform modernization.
AI Product Manager - Business Line Execution, Senior Vice President
Lead AI product execution for Citi’s financial services, owning end-to-end AI use cases from concept to commercialization while driving ROI and client engagement in Payments, Investor Services, Issuer Services, or Trade.
Senior Data Engineer - Vice President
Design and optimize large-scale data pipelines and cloud infrastructure for a global bank, using PySpark, Databricks, and Snowflake, while supporting AI initiatives like RAG and Agentic systems.
Senior Product Manager - Unified Data Fabric
Own the product vision and roadmap for Cloudera’s automated metadata management and data lineage features, driving integration and governance across the Unified Data Fabric platform.
Data Steward
Maintains healthcare data quality and governance by documenting lineage, profiling sources, and collaborating with teams to deliver accurate reports and insights that drive business decisions.
Senior Security Engineer
Build and enforce AI risk and compliance controls for a financial services firm, including threat modeling with MITRE ATLAS, third-party AI vendor due diligence, and translating frameworks into auditable processes.
Technology Lead Business Analyst
Lead a team translating business needs into technology solutions for Citi’s U.S. Consumer Credit Cards, focusing on acquisitions, marketing, and risk systems while ensuring regulatory compliance and digital transformation.
Staff Data Scientist
Build and deploy production-grade ML models for GM’s sales, service, and marketing teams, from data pipelines to MLOps and business impact.
Principal, Technical Architect
Designs AI-powered enterprise architectures for Salesforce’s CRM and cloud products, advising customers on aligning solutions with digital transformation goals using agentic AI, data pipelines, and multi-cloud integrations.
Databricks Data Engineer (Remote)
Build and maintain Databricks-based data pipelines for a government agency, integrating financial/HR/CRM systems and implementing Unity Catalog for governance.
Data & AI Product Manager - Finance
Own the product vision for finance data and AI products, bridging Finance stakeholders with engineers and AI teams to build scalable, AI-ready data assets and analytics that drive automation and decision-making.
Data Scientist - Hybrid
Build and deploy predictive weather models and spatio-temporal ML systems to power B2B weather intelligence products and optimize adtech performance using Python, PyTorch/TensorFlow, and distributed frameworks.
Senior Product Manager – Platform
Senior Product Manager builds and maintains the secure, scalable platform services (IAM, AI infrastructure, observability) that power Visier’s workforce-intelligence SaaS for global HR teams.
Senior QA Automation Engineer
Design and lead automated testing for banking and blockchain integrations, build scalable QA frameworks, and integrate tests into CI/CD pipelines while ensuring compliance and operational resilience.
Senior Business Intelligence Analyst
Designs and maintains BI reports/dashboards in Tableau and SSRS, writes complex SQL, and partners with teams to turn energy-market data into actionable insights for Tenaska’s commercial operations.
Software Engineer
Design and optimize SQL Server databases and Python-based ETL pipelines for a large bank, troubleshooting production issues and ensuring compliance with security and AML standards.
Data Engineer
Design and operate data pipelines for a crypto exchange, connecting diverse sources to the warehouse, improving data quality, and setting up monitoring and incident response systems.
Mid Level Data Analyst
Mid-level Data Analyst leads data governance remediation, creating documentation like dictionaries and lineage while using SQL and Power BI to visualize progress and democratize clean enterprise data.