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Guild Mortgage Company , closing loans and opening doors since 1960. As a mortgage banking firm we are dedicated to serving the homeowner/buyer. Our goal is to provide affordable home financing for our customers,…
Lead the design and build of scalable healthcare data pipelines on GCP, automating ingestion and semantic layers to power enterprise analytics and reporting.
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…
Build and scale ML platforms for Reddit’s Ads team, including offline experimentation, training orchestration, and agentic AI workflows to accelerate model development and deployment.
About the role Concept Plus is seeking a highly experienced and motivated Senior Data Engineer for an exciting new contract. This role is fully onsite in Reston, VA (5 days per week required). What you'll do The…
About AppDirect Pour la version française de cette description de poste, veuillez consulter le lien suivant / For the French version of this job description, please refer to the following link: Ingénieur(e) de données…
Design and maintain data quality frameworks, rules, and automated checks to ensure enterprise data accuracy and reliability across systems.
Design and implement enterprise-grade data platforms on Azure for an insurance company, focusing on scalable modeling, governance, and analytics using Synapse, Databricks, Power BI, and Azure ML.
Designs and implements enterprise-scale data platforms on Azure, focusing on insurance data models, semantic layers, and regulatory compliance while leading modernization and governance initiatives.
Design and govern enterprise-wide data architecture for a healthcare innovation hub, applying TOGAF and DAMA-DMBOK to enable scalable data platforms, advanced analytics, and AI initiatives.
Design and maintain petabyte-scale data pipelines and cloud platforms for a bank, using Azure, Spark, and Python to deliver governed, low-latency data products.
Lead Benevity’s Data Governance program: set standards, classify assets, enforce quality SLAs, and maintain the DataHub catalog so teams can trust their data.
Build and maintain data pipelines, optimize databases, and ensure data quality using SQL, Python, and AWS services like Redshift and S3.
Design and maintain compliant data pipelines for AI productivity tools, focusing on data masking, anonymization, and regional regulatory adherence.
Build and maintain Salesforce CI/CD pipelines and automated test frameworks to ensure reliable, high-quality enterprise releases in an agile delivery environment.
Design and maintain large-scale data platforms, metadata systems, and semantic models for enterprise clients using Python, SQL, and modern data stack tools.
Data Analyst focused on strategy and governance, building data catalogs, ensuring quality, and modeling enterprise data assets using T-SQL, Microsoft Fabric, and Power BI.
Lead a team building Python-based generative AI solutions, guiding architecture, cloud deployment, and GenAI frameworks while mentoring engineers and aligning tech strategy with business goals.
Build and maintain enterprise data ontologies and semantic models to standardize business concepts like Product and Customer across systems, enabling consistent AI, reporting, and governance at IFF.
Build and maintain scalable data pipelines and platforms for AML and payments in banking, using Python, Spark, Snowflake, and Azure to process and transform financial data for analytics and compliance.
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