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Data Engineer, Investments
Design and maintain scalable data pipelines on Google Cloud for investment analytics, using BigQuery, Dataproc, and Prefect to enable AI-driven financial reporting and decision-making.
Data Engineer
Build and maintain data pipelines using Python, PySpark, and Databricks on AWS to support energy-sector analytics and reporting.
Senior Data Engineer
Build and own Flinks’ data and ML platform: pipelines, warehousing, model serving, and governance that power financial insights and payments for banks and fintechs across North America.
Microsoft Fabric Data Engineer
Designs and builds scalable analytics solutions on Microsoft Fabric, creating data pipelines, models, and governance for enterprise BI and reporting.
DevOps Engineer
Maintain and evolve a hybrid (on-prem + cloud) Kubernetes infrastructure for a fintech company, automate deployments with GitLab CI/CD, and collaborate with dev teams on scalable payment solutions.
Senior Data Engineer - (Python/Spark/SQL)
Build and scale resilient data pipelines and analytics platforms using Python, Spark, and SQL to support high-volume reporting and data-driven decisions for enterprise clients.
Senior Python Software Engineer - AI
Builds scalable, secure Python systems and AI agent workflows for an enterprise AI platform, focusing on distributed systems, LLM integrations, and cloud-native architecture.
Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, model fine-tuning, and real-time microservices using Python, cloud platforms, and MLOps tools.
Software Engineer III (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, fine-tuning, and real-time microservices, using Python, cloud platforms, and MLOps tools.
Senior Software Engineer- Data Platform
Build and scale ZoomInfo’s data platform, designing pipelines and storage layers that power AI/ML training, real-time products, and analytics for GTM intelligence.
Data Infrastructure Software Engineer Role
Build and maintain high-performance data infrastructure for AI workloads, handling petabyte-scale storage and processing with distributed frameworks like Spark and Kubernetes.
Principal Data Engineer – Databricks
Principal Data Engineer designs and migrates enterprise data platforms to Databricks, building scalable Lakehouse architectures, PySpark pipelines, and finance-focused data models for reporting and risk analytics.
Principal Data Engineer Driving Infrastructure Innovation
Principal Data Engineer designs and maintains scalable, self-hosted data pipelines and databases for a game studio, ensuring robust performance and compliance.
Mid-Senior Level Data Engineer Role
Designs, builds, and maintains ETL pipelines in Python and SQL, reviews code, and troubleshoots data applications using Docker, Kubernetes, and Airflow.
Senior Data Developer (AI/ML)
Build and maintain the data pipelines and tooling that feed AI/ML services for a cloud-based healthcare platform, enabling model development, deployment, and monitoring at scale.
Principal Databricks Data Engineer
Principal Data Engineer leading the migration from Cloudera to Databricks, building scalable Lakehouse architectures for finance and risk analytics using PySpark, Delta Lake, and Medallion patterns.
Data Engineer - Snowflake, dbtCore/Cloud, AWS
Build and maintain high-performance data pipelines in Snowflake and AWS, using dbt Core/Cloud and Python to power analytics and AI initiatives for an insurance company.
Senior Back-End / Data Engineer – Innovation team
Build and own the data pipelines, ML feature stores, and inference APIs that power renewable-energy analytics at scale, integrating forecasts into a SaaS platform for wind, solar, hydro, and storage assets.
Lead Data Engineer / Data Platform Lead
Lead a team to design and build scalable data pipelines on Hadoop/Databricks and cloud platforms, enabling analytics and GenAI/LLM-ready data ingestion for enterprise clients.
Machine Learning Engineer - (Computer Vision)
Build and scale face-recognition systems using PyTorch/TensorFlow, own end-to-end ML pipelines on AWS, and lead fairness analysis for biometric models in production.