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AI-Driven Cost Engineering Data Engineer
Design and deploy AI systems for cost estimation and optimization using LLMs and MLOps on cloud platforms like Azure and AWS.
Data Engineering Lead - AI-Driven Data Infra (Azure/Databricks)
Lead the build-out of AI-driven data infrastructure on Azure/Databricks, ensuring reliable pipelines for analytics and ML workloads using Spark/Scala.
Data Engineer I
Build and scale enterprise data infrastructure using Azure, Databricks, and Python to power analytics and AI across the firm.
Data Engineer (Databricks)
Designs and builds data pipelines on Databricks, ensuring clean, reliable data flows with Python, PySpark, and SQL for analytics and reporting.
Streaming Data Engineer
Build end-to-end streaming data pipelines using Kafka, Flink, Spark Streaming and cloud services to process real-time data and deliver low-latency insights for enterprise clients.
Data Engineer
Build and scale data pipelines on Databricks and AWS, designing robust ETL/ELT workflows with Apache Spark to power analytics and decision-making.
Senior Data Architect - Azure Synapse & Data Engineering
Design and optimize Azure Synapse data pipelines and star schemas, tune performance, and build ingestion workflows using ADF and PolyBase for analytics workloads.
Senior Data Engineer (MOSAIC AI)
Build and deploy AI agents using Databricks Mosaic AI, LangChain/LangGraph, and RAG pipelines; integrate base models and implement MLOps best practices.
Data Engineer
Builds and maintains scalable data pipelines using Databricks, GCP/Azure to feed AI models, RAG search, and analytics, ensuring clean, reliable datasets for machine learning and reporting.
Data Engineer
Designs and maintains scalable data pipelines and cloud data architecture using Azure services to integrate and transform financial data for analytics and operations.
Data Engineer
Senior Data Engineer builds and maintains scalable Azure data pipelines and products using Data Factory, Synapse, Databricks, and Fabric to support analytics and reporting.
Data Engineering Lead
Lead the design and delivery of a scalable enterprise data platform, building ETL/ELT pipelines and enabling analytics and AI across cloud and hybrid environments.
Data Engineer: Cloud Pipelines & ETL for Growth
Build and maintain scalable cloud data pipelines and ETL processes using Python, SQL, and tools like Spark, Airflow, and Databricks across AWS, Azure, and Google Cloud.
Clinical Data Engineer/Enablement
Build and maintain cloud-based clinical data pipelines for biopharma, ensuring compliant, high-quality data delivery to downstream teams using AWS/Azure, Python, and CDISC standards.
Marketing Data Engineer| Hybrid
Builds and optimizes SQL/Python pipelines to extract and transform marketing data from enterprise platforms, enabling audience segmentation and campaign performance analysis.
Healthcare Data Scientist: Predictive Analytics & Insights
Build predictive models and dashboards to forecast claims, detect fraud, and segment healthcare members using SAS, Python, R, SQL, Power BI, and Databricks.
Data Engineer - Orientación Gobierno de Datos
Build and maintain data pipelines, cleanse and validate datasets, and implement ETL/ELT processes using Microsoft Azure tools for a government data governance project.
Data Engineer - Databricks & AWS Data Pipelines
Design and maintain ETL/ELT pipelines using Databricks and Apache Spark while migrating data platforms to AWS.
Databricks Data Engineer: Pipelines & Data Quality
Designs and maintains data pipelines on Databricks, ensuring quality and implementing ETL processes to improve data accessibility and strategy.
Data Engineer
Designs and maintains scalable data pipelines and cloud-based ETL/ELT workflows using Python, SQL, and Azure/AWS to deliver clean datasets for analytics.