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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,…
Develops statistical and machine learning models to analyze complex business scenarios, quantifying uncertainty and driving data-driven decision-making for finance and enterprise management.
The AI Engineer will design and deploy scalable Generative AI, Agentic AI, and machine learning solutions for the healthcare and life sciences industry. The role involves building production-grade AI applications, managing MLOps pipelines, and collaborating with stakeholders to solve complex medical and commercial data challenges.
Builds and scales production ML systems for Warner Bros. Discovery’s media brands, focusing on identity resolution, audience intelligence, and content affinity. Owns end-to-end ML pipelines, feature stores, and agentic AI workflows on Databricks/Snowflake/AWS to drive advertising yield, personalization, and engagement.
Senior Data Engineer responsible for designing, developing, and maintaining a scalable Databricks-based data platform to support AI and analytics across the organization. Core focus on cloud-based data pipelines, data modeling, and integration with Azure services.
Builds and maintains data-driven solutions using Azure Databricks, PySpark, and SQL to enable business insights and decision-making for Arla Foods' innovation and consumer intelligence teams.
Junior Software Engineer building and maintaining scalable ETL and real-time streaming data pipelines with PySpark, Spark, Java, and AWS services.
Senior Data Engineer developing and managing data platforms in Azure and Microsoft Fabric, working on datahub concepts like OneLake and Lakehouse architectures with SQL, PySpark, and Power BI, building ETL/ELT processes, advising on data architecture, and creating secure scalable solutions in a DevOps team.
Builds and maintains production-grade ETL/ELT pipelines, lakehouse architectures, and DevOps automation for enterprise clients in aviation, banking, and retail using Python, PySpark, SQL, and cloud platforms.
Need Local to Des Moines, IA W2 role Python Developer Location: Des Moines, IA – Onsite Employment Type: Contract – W2 Duration: Through December 2026 Extensions Work Arrangement: Onsite Job Description We are looking…
Analyzes payment datasets to identify performance trends, builds scalable analytics tools, and collaborates with stakeholders to drive data-driven optimizations and business growth at Adyen.
Не просто код, а твій вплив на мільйони українців! Nova Digital — це технологічне серце екосистеми NOVA, де твій код стає частиною щоденного життя цілої країни. Про масштаб наших сервісів: 50+ млн запитів щодня…
About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we…
Designs and builds scalable data pipelines and cloud data platforms to process high-volume financial transactions using Python, Spark, and AWS.
Design and build scalable data pipelines and models using Python, DBT, Airflow, PySpark, Databricks, and AWS infrastructure, while ensuring data quality, governance, and compliance.
Data Engineer to work onsite in Springfield, VA supporting a government contract, focusing on data ingestion, pipeline development, cloud deployment, database architecture, streaming data processing, workflow orchestration, and AI/ML integration using Python, AWS/Azure, Kafka, Airflow, and various database technologies.
Senior Data Engineer role focusing on SAP Data Engineering, AWS, Spark, Python/SQL, Airflow, and containerized environments, with ITIL/ISO support and EMEA travel. Day-to-day tasks include building pipelines, supporting operations, and maintaining SAP data solutions.
Data Engineer implementing large-scale ETL/ELT solutions using Talend and PySpark in distributed environments, working 100% remotely on Big Data projects.
A Data Engineer designs, builds, and optimizes scalable data platforms on Google Cloud Platform (GCP), focusing on ELT pipelines, BigQuery model optimization, Cloud Composer (Airflow) orchestration, and dbt transformations.
Builds and refines ML models (pricing, forecasting, scoring) and dashboards, using Python, Scikit-learn, XGBoost, and generative AI to deliver data-driven insights for client decision-making.
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