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Designs and maintains data pipelines and integrations for AI, analytics, and automation using Databricks and Microsoft Fabric, ensuring data reliability and governance for marine geodata solutions.
Position Summary Scicom Infrastructure Services is seeking an experienced Databricks Practice Lead / Engineering Manager to provide hands-on technical leadership while managing a team of data engineers, architects, and…
Lead Software Engineer designing and building AI-driven observability and agentic systems for Disney's streaming platforms (Disney+, Hulu, ESPN) using Python, foundation models, and distributed systems at scale.
Hands-on Technical Lead Architect role owning end-to-end architecture for Clinical Supply & Delivery platforms at Lilly, building containerized services, CI/CD pipelines, cloud infrastructure, data pipelines, and agentic AI architecture on AWS.
Senior ML Engineer owning backend engineering strategy for an ML platform, building scalable pipelines for real-time analytics, and managing the full model deployment lifecycle using Docker, ACR, and PySpark.
The Data Engineer will design and build data infrastructure, ETL/ELT pipelines, and data models to support analytics and AI applications. The role involves working with technologies like Python, SQL, PySpark, Databricks, and various database platforms to transform data into actionable insights.
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.
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