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Configure and support SaaS applications using Python, APIs, and low-code tools to tailor features, manage releases, and ensure system stability for business needs.
Build and enhance enterprise data pipelines in Databricks Unity Catalog and Delta Lake, focusing on entity resolution, data remediation, and LLM-assisted workflows using PySpark and Python.
We are seeking a Senior Data Engineer to operate & design, manage & maintain, and optimize our data platform. In this role, you will bridge the gap between traditional big data engineering and modern Generative…
Senior AWS data engineer building scalable healthcare data platforms using EMR, Glue, S3, and Redshift to power global health informatics solutions.
Lead a team building full-stack cloud services in Python, Java, and PySpark/Spark on AWS to maintain and improve financial decisioning systems that determine customer eligibility for credit products.
Build and deploy ML models to extract insights from financial data, collaborating with engineers to productionize solutions and drive business decisions.
Build and optimize AWS-based ETL/ELT pipelines using Redshift, S3, Glue, and Lambda to move and transform data for analytics and AI/ML workloads.
Designs and deploys cloud environments using Databricks and automation pipelines, ensuring scalable infrastructure for projects and products.
Build and optimize scalable data pipelines using PySpark to deliver custom software solutions for enterprise clients.
Designs, builds, and maintains data pipelines and ETL processes on Microsoft Azure and Databricks to move, transform, and ensure quality of large datasets for analytics and reporting.
Lead the design and build of a cloud-first data platform using Azure, Databricks, and Delta Lake, while coaching a global data engineering team to enable AI and analytics at enterprise scale.
Build and deploy production-grade generative AI systems—LLMs, RAG, and AI agents—to automate document processing, customer support, and decision workflows in a regulated banking environment.
Design and build large-scale security data pipelines on AWS using Databricks and Snowflake to normalize SIEM logs and telemetry for financial risk analytics and AI-driven incident response.
Build and deploy production-grade generative AI systems (LLMs, RAG, AI agents) for a large bank, focusing on NLP, document intelligence, and responsible AI in a regulated environment.
Build and deploy credit-risk models (scoring, ratings, capital reserves) using ML/AI on AWS, translating quantitative impacts for business stakeholders.
Build and deploy Palantir Foundry/AIP solutions for clients, turning data into AI-driven decision tools while collaborating with cross-functional teams and stakeholders.
Design and build enterprise-scale AWS integration platforms using Glue, Lambda, Step Functions, and CDK (TypeScript) to create scalable, event-driven data pipelines and serverless architectures.
“I can be myself at work.” You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and…
Modernize legacy data systems by rewriting SAS logic into high-performance Python, building scalable cloud-native pipelines, and optimizing PostgreSQL-backed data workflows.
Build and maintain backend services for a cloud security platform using Python, AWS Step Functions, and Athena to power threat detection and policy checks.
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