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Senior Associate designs and builds scalable data pipelines using PySpark, Python, and Spark to enable analytics and AI solutions for clients.
The Data Engineer will design, build, and maintain ETL pipelines and data marts within a banking environment using PySpark and Python. The role involves managing the full SDLC, from development and UAT to production deployment and support, while working with diverse data types.
Data Engineer building ETL pipelines and data marts with PySpark and Python in a banking environment, owning the full SDLC from build through production deployment and support.
Leads the design and maintenance of data pipelines, warehouses, and lakes for a large bank, ensuring accurate, secure, and accessible data while collaborating with data scientists on ML models.
This role involves identifying and mitigating emerging fraud risks in credit card and lending products using advanced data science, machine learning, and anomaly detection. The expert will bridge the gap between fraud strategy and technical implementation to proactively protect the organization from evolving threats.
The Senior Data Engineer will design and maintain data pipelines and backend services for a wealth management analytics platform using Python, Scala, and Azure-based technologies. The role focuses on building scalable data systems, ensuring data quality, and supporting real-time decisioning and reporting.
Release Train Engineer supporting DoD CDAO using Palantir Foundry to manage sprints, Epics, and Program Increments—coaching data engineers/scientists and translating Agile metrics into government status reports with an active TS/SCI clearance.
The Assistant Vice President - Data Analytics bridges business needs and technical execution at Citi, designing data frameworks and pipelines. They translate requirements into technical solutions, optimize workflows, and mentor teams while ensuring quality and scalability in fintech systems.
Lead Data Engineer (player-manager, ~60% hands-on, 40% leadership of 3 engineers) building scalable ETL/ELT pipelines and cloud-native data platforms using SQL, Python, Azure, Databricks, and Microsoft Fabric to support AI models for an AI SaaS company.
Senior Data Engineer designing and maintaining scalable data platforms and ETL/ELT pipelines using Python, PySpark, SQL Server, and containerized workloads (Kubernetes/Docker) in a corporate banking context.
Develops, maintains, and deploys ~100 reports for a stock trading system using SQL, PySpark, and BI tools (SSRS/Power BI/Tableau), collaborating with business and tech teams to ensure compliance and accuracy.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
Design and deploy production-ready generative AI solutions and autonomous agents using Python, LLMs, and frameworks like LangChain, while partnering with MLOps and business stakeholders at a healthcare company.
Lead a team of data engineers to build and optimize AutoZone's GCP Data Lakehouse platform, designing end-to-end data pipelines and ensuring governance, performance tuning, and scalability using GCP, Apache Spark, Delta Lake, and PySpark.
ML Engineer building generative AI/ML models and driving data modeling activities for a life-sciences customer engagement platform, using Python, PySpark, Databricks, and cloud computing.
The Senior Azure Data Engineer designs and implements large-scale data engineering solutions using the Azure stack, including ADF, Databricks, and Synapse. The role requires extensive experience in Python, SQL, and Spark within an agile and DevOps-driven environment.
Designs and oversees large-scale data and AI architectures, balancing latency, cost, and scalability for Michelin’s enterprise systems. Focuses on Lakehouse (Delta Lake/ADLS Gen2), ML pipelines (Azure ML/AKS), and data models (PostgreSQL/Snowflake) while ensuring security and compliance.
The Scrum Master/Release Train Engineer will manage Agile ceremonies and program execution for DoD data and AI initiatives using Palantir Foundry. The role involves coaching technical teams, tracking sprints, and aligning program objectives with federal mission requirements.
Azure AI Data Architect designing and implementing enterprise-scale data platforms and AI/GenAI solutions on Microsoft Azure, partnering with stakeholders across client engagements at a global consultancy.
Roles & responsibilities The Manager/Lead Data Engineer will be part of the GDC CRC team, working in a technical leadership role within the Audit Data & Analytics domain. The role requires expertise in data…
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