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Build and deploy ML models and ETL pipelines in Python/SQL to optimize freight logistics, partnering with data scientists and business teams.
Build and deploy AI/ML models and data pipelines to power logistics solutions, working with Python, cloud platforms, and MLOps tools.
Builds and maintains scalable data pipelines and infrastructure using Python, SQL, and cloud services to support analytics and machine learning workflows.
Designs and maintains scalable data pipelines and storage systems using Python, Java, Spark, and SQL/NoSQL databases to ensure data quality and deliver business insights.
Senior Data Engineer builds and maintains HIPAA-compliant data pipelines and models for a healthcare AI product using Python, Dagster, DBT, PostgreSQL, and AWS services.
Design and build scalable data pipelines and Lakehouse infrastructure using Azure and Databricks, enabling AI/ML and analytics for financial, legal, and government clients.
Build and scale enterprise data infrastructure using Azure, Databricks, and Python to power analytics and AI across the firm.
Senior Data Engineer builds and maintains GCP-based data pipelines, ETL workflows, and analytics models for MSP customers, using Python, SQL, and Airflow.
Builds and optimizes SQL/Python pipelines to extract and transform marketing data from enterprise platforms, enabling audience segmentation and campaign performance analysis.
Build and maintain Python-based ETL pipelines for fund administration, converting raw financial data into formats for proprietary systems while supporting global teams.
Designs and maintains scalable data pipelines and databases for a real-estate brokerage, using Python, SQL, AWS, and ETL tools.
Designs and builds scalable big-data infrastructure and ETL pipelines using Python, Spark, and cloud services to support reporting and analytics.
Build and scale production-grade data pipelines and Lakehouse infrastructure using Azure, Databricks, Python, and Spark to power analytics and AI for enterprise risk and financial advisory services.
Builds and maintains ETL pipelines, data models, and Spark-based transformations on Azure and Databricks to power analytics and reporting.
Build and maintain GCP-based data pipelines and analytics for enterprise clients, using Python, SQL, Airflow, and BigQuery to ensure reliable data ingestion and reporting.
Design and maintain scalable data marts and ELT pipelines using DBT, Fivetran, and SQL to power analytics for e-commerce and logistics platforms.
Build and maintain scalable batch and streaming data pipelines in AWS + Databricks, using Python, SQL, and modern lakehouse architectures to power analytics and reporting for a fast-growing fintech lender.
Builds automated scrapers and an AI-powered match engine to extract IT hardware inventory from auction sites and pair it with incoming RFQs using Python, Playwright/Selenium, and PostgreSQL/MongoDB.
Build and maintain Python-based microservices for a multi-carrier shipping platform, using Flask, Kubernetes, and cloud services to power rate shopping, tracking, and delivery proof.
Build and maintain AI evaluation infrastructure for LLM-driven features in Progress AI, focusing on prompt optimization, dataset quality, and model accuracy measurement.
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