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Principal Engineer designs and builds scalable data pipelines and ETL processes, integrates ML models, and creates dashboards to support analytics and business decisions using SQL, Python/Java/Scala, and big data tools.
Design and deploy Microsoft’s cloud data & AI platforms (Fabric, Azure Databricks, SQL/Cosmos DB) for high-growth startups, running PoCs, hackathons, and architecture workshops to modernize their analytics stack.
Embed within client teams to design and deploy scalable data platforms, ML pipelines, and GenAI workflows using Python, Spark, and cloud-native tools.
Join us and bring your innovative spirit to a team where your expertise shapes the future of data engineering. As a Principal Data Engineer, you will inspire change and deliver solutions that make a lasting impact. We…
Designs and maintains scalable data pipelines and ML-ready datasets for analytics and AI use cases in a global payments company.
Builds and maintains Java-based microservices and REST APIs for a cloud-native SIEM platform that uses AI-driven threat detection and response.
Lead cloud architecture and data engineering for banking clients, designing scalable Azure/AWS solutions and optimizing data pipelines with tools like Databricks and Snowflake.
Design and build Azure-based data pipelines and analytics solutions using Azure Fabric, Databricks, PySpark, and Data Factory to transform raw data into actionable business insights.
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day…
Senior Data Engineer builds and operates enterprise-scale data pipelines on AWS Lakehouse, implementing ELT/ETL, streaming ingestion, and DataOps practices to deliver trusted, analytics-ready datasets for healthcare operations.
Analyze banking systems and regulatory requirements for corporate treasury projects, gather business needs, and support AI-driven solutions for capital measurement and reporting.
Lead a team to architect and build scalable Python applications for market-risk stress testing and regulatory projects at a global bank.
Business systems analyst manages data-platform projects, gathers requirements, and delivers Tableau dashboards and ETL pipelines for Foxconn’s server-manufacturing plants.
Builds and maintains ETL pipelines and big-data processing systems for Foxconn’s server-manufacturing plants, using Apache tools, Cicada, and SQL/Python.
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients,…
Build data pipelines and analytics apps using Palantir Foundry, Databricks, and AWS to turn raw data into actionable insights for government missions like fraud detection and healthcare research.
Senior Data Engineering Analyst at Experian designs and maintains data pipelines to power global financial, healthcare, and mobility solutions using advanced data technologies.
Build and maintain scalable data pipelines and curated datasets for a modern Lakehouse and AI platform, using Python, SQL, Spark, and Snowflake to support analytics and AI use cases at a global investment bank.
Build and maintain large-scale data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Kafka to support analytics and AI use cases at a global investment bank.
Role: Machine Learning / Big Data Software Engineer Location: Sunnyvale, CA (Hybrid) Key Requirements: Strong experience with Python, Java, or C++ Distributed systems and scalable applications Data processing pipelines…
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