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Data Engineer Senior - Databricks
Build and maintain scalable data pipelines and semantic models on Databricks using Python/Spark to power ML systems for demand planning, forecasting, and e-commerce ad optimization.
Sr. Data Engineer
Build and deploy ML models and data pipelines, automate data ingestion, and ensure reliable data processing for a company focused on AI-driven solutions.
Mid-Level Data Engineer
Build and maintain data pipelines, automate ingestion, and deploy models while ensuring reliability and security of data processing systems.
AI Solutions Architect- Federal
Pre-sales technical lead for federal AI security, architecting and deploying a platform in SaaS and air-gapped environments, building demos and POCs to protect AI workloads from adversarial attacks.
Data Engineer, Enterprise Platform
Design and build enterprise-scale data pipelines and warehouses in Snowflake, integrating Databricks and cloud storage to power analytics and AI-driven decisions for a large fintech platform.
Data Engineer
Build and maintain cloud data pipelines using Azure Synapse and Azure Pipelines, refactor legacy SQL into PySpark, and ensure reliable data delivery for a logistics-focused supply-chain company.
Staff Data Engineer
Build and scale cloud-native data platforms and pipelines for a large bank, enabling AI-driven customer experiences, CRM, and operational intelligence using AWS, Snowflake, and modern data engineering practices.
Senior Data Analyst (Finance)
Senior Data Analyst builds and maintains SQL queries and data pipelines in Snowflake to clean, validate, and analyze healthcare claims data for monthly revenue recognition and financial reporting.
Software Engineer
Build backend services, data pipelines, and cloud infrastructure for a startup making power electronics that connect renewables and storage to the grid.
Staff Data Engineer
Lead the design and operation of Cribl’s data infrastructure, including Snowflake, dbt, and AWS, while mentoring engineers and shaping AI-driven analytics workflows.
Senior Data Engineer
Design and build Azure-based data pipelines and analytics-ready datasets for public-sector modernization, using Databricks, Python, SQL, and Azure services.
Senior Data Engineer
Build and optimize Snowflake-based data warehouses, design ETL pipelines with Informatica/Talend, and integrate ML models into Snowflake for analytics.
Data Engineer
Designs and builds scalable GCP data pipelines with Python, Airflow, Spark, and BigQuery to integrate ML models and support enterprise analytics.