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Lead advanced data science projects in healthcare, designing ML models and shaping analytics strategy to improve clinical and operational decisions.
Builds and maintains data pipelines and AI-driven applications for the Army using Palantir Foundry and Databricks, requiring a U.S. security clearance and on-site presence in Pittsburgh.
Build and deploy large language models and AI systems to improve e-commerce experiences at Coupang, using Python, PyTorch, and cloud platforms.
Software Engineer 20260508-MN377-36424c-01 Active Top Secret Clearance with Poly Required Salary Range: Up to $220K (salary is commensurate with education and experience) Job Summary Looking for a full stack developer…
As an Azure Data Engineer specialized in Microsoft Azure tools, you will support the implementation of projects focused on collecting, aggregating, storing, reconciling, and making data accessible from disparate…
Senior Data Scientist builds and deploys production-grade ML models and agentic automation systems on AWS and Databricks to solve energy-sector business problems.
Builds and maintains scalable Azure Databricks lakehouse pipelines using PySpark and Delta Lake to deliver trusted, analytics-ready data products for enterprise systems.
Design, build, and maintain data pipelines and ETL processes using PySpark to move and transform data across systems while ensuring quality and integrity.
Designs and maintains scalable data pipelines and analytics solutions for automotive software platforms using PySpark, Databricks, and Azure services to support data-driven decisions in vehicle development and operations.
Lead a team building AI-first data products for financial services using PySpark, Java, and Databricks to modernize a strategic data mesh and automate governance, lineage, and data quality.
Lead a team to design and maintain scalable data pipelines and analytics platforms for gaming clients using Microsoft and Azure cloud technologies, with a focus on Databricks and Snowflake.
Senior Data Engineer designs, builds, and optimizes data pipelines and analytics solutions using PySpark, Databricks, and Python to support tax lifecycle technology transformation.
Lead AI/ML initiatives at JPMorgan Chase, designing and deploying agentic/GenAI solutions with LLMs and frameworks like Langchain to solve business problems in a secure, scalable environment.
Build and deploy AI/ML models to automate freight document processing at scale, using Python, PyTorch, and AWS SageMaker to extract and classify data from unstructured documents for a modern payments network.
Build and optimize ML pipelines using PySpark, Airflow, and PostgreSQL to generate alerts and integrate models into production systems.
Designs and maintains scalable data pipelines and ETL processes using cloud and big-data tools to feed analytics and reporting for a global investment firm.
Build and maintain a centralized data warehouse using Python/Scala, PySpark, and Azure Databricks to power ETL, reporting, and analytics for healthcare revenue cycle management.
Builds and maintains a centralized healthcare data warehouse using Python/Scala, PySpark, and Azure Databricks to power ETL, reporting, and analytics across the company.
Build and maintain scalable ETL pipelines and data warehouses for a global fintech leader, using Azure Data Factory, Databricks, and Power BI to deliver clean, governed financial data and interactive reports.
Build and maintain large-scale data pipelines using Spark, PySpark, and cloud tools to process petabyte-scale datasets for mission-driven government projects.
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