Job Summary: Leads a team of data engineers in designing, building, and maintaining scalable data pipelines and infrastructure. Collaborates with business stakeholders, IT partners, and analysts to implement data…
Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to…
Senior Software Engineer at Relativity builds and operates cloud-native infrastructure for RelativityOne, a legal data intelligence platform. The role focuses on Import/Export services, requiring 5+ years of C#/.NET experience, distributed SaaS architecture, production ownership (on-call, root cause analysis), and CI/CD automation. Core technologies include .NET, Azure, and cloud-native systems fo
Do you enjoy modernising and improving existing solutions? Are you motivated by working across different parts of an application, from backend logic to the user interface? Would you like to help enhance current…
About the team StreetEasy, a Zillow Group company, is the leading platform for buying, selling, and renting homes in NYC and New Jersey. Our team is the technical backbone of Revenue Operations and Lifecycle Marketing…
Foods you love. Brands you trust. And a career that empowers you to grow. At Nestlé USA, we’re all working towards the same goal – to delight and deliver for our consumers. With a rich portfolio of beloved brands,…
Senior Data Engineer at Medidata (Dassault Systèmes) builds and operates scalable Lakehouse data pipelines supporting clinical trial analytics. Core technologies include Python, Apache Spark, Trino, dbt, Apache Iceberg, and AWS, with a GitOps-driven workflow.
About the Job: The Finance Reliability & Production Engineering (Finance RPE) team is responsible for ensuring the stability, availability, and operational excellence of Morgan Stanley's Finance and Regulatory…
Senior Data Engineer & Solution Architect at AbbVie designs cloud-native lakehouse architectures and data pipelines on AWS for the Operations Supply Chain organization, building scalable data products using Apache Iceberg, Medallion Architecture, and AWS Redshift.
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the…
Data engineer at Moody's building scalable cloud-native data pipelines (Airflow, dbt, Python) on AWS to power the company's digital content platform, integrating AI/ML data engineering workflows.
A Vice President-level software engineer at Morgan Stanley designing scalable Java/Scala/DB2 solutions for a global liquidity planning platform, building data ingestion ETL/streaming pipelines, and contributing to CI/CD and automation. Core technologies include Java, Scala, DB2, PostgreSQL, Spark, Linux/UNIX, and CI/CD.
A Staff Data Scientist builds and owns end-to-end data pipelines on Azure Databricks, designs Power BI consumption layers, and develops ML/GenAI solutions for a regulated healthcare platform. The role spans ingestion through Gold medallion layers, CI/CD in Azure DevOps, FDA 21 CFR Part 11 and EU MDR compliance, and production workload tuning.
We are seeking a Data Infrastructure Architect with 7+ years of experience in designing and governing enterprise-scale data platforms within regulated environments. The role ensures data is accessible, trusted, secure,…
Scientific Data Engineer at Dassault Systèmes BIOVIA in Cambridge curates, validates, and builds pipelines for a scientific materials database, integrating it with CAD design, simulations, and lab tools. Core technologies include Python, SQL/NoSQL, machine learning, and scientific ontologies.
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is…
What you will do: Partner with business stakeholders to understand reporting and analytics requirements; translate them into clear user stories, data requirements, and technical tasks. Contribute to user-friendly…
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