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Designs, deploys, and operates scalable ML pipelines on Azure and Databricks, focusing on cost-efficient, maintainable, and secure AI solutions for an edtech organization.
Lead AI and data engineering programs for financial clients, designing scalable GenAI and ML solutions on cloud platforms while managing delivery, governance, and cross-functional teams.
The Senior Data Engineer will build and maintain scalable data pipelines and Lakehouse architecture on Azure Databricks to support Electrolux's global data and AI initiatives. The role involves end-to-end data lifecycle management, including ingestion, transformation using dbt, orchestration with Airflow, and implementing data quality standards.
Leads Python-based software engineering for JPMorgan’s Credit Data Pond team, designing scalable cloud data platforms (AWS/Databricks/Terraform) to enhance credit risk technology. Focuses on AI-assisted development, secure CI/CD pipelines, and operational stability in fintech.
Lead a Databricks-based data platform team, designing scalable cloud architectures, mentoring engineers, and driving AI/data strategy with Spark, Delta Lake, and Python.
Build and maintain scalable Databricks pipelines and Lakehouse architectures using Spark, Delta Lake, and Python to deliver high-performance data products for a fast-growing tech business.
Build and maintain scalable AWS data pipelines and lakehouse architectures for pharma analytics and AI/ML workloads, integrating commercial data sources like Veeva and Xponent.
Build and maintain ELT pipelines and data models on Databricks to power analytics and reporting for a cloud-based clinical system used by clinicians across the UK and France.
Leads enterprise-scale data and analytics solutions for Adobe’s Sales & Post-Sales teams, translating business needs into technical requirements and driving self-service tools for data-driven decision-making. Collaborates with engineering, stakeholders, and cross-functional PMs to design, prioritize, and deliver scalable data solutions.
Builds and optimizes scalable data pipelines in PySpark and Databricks to power advanced analytics and AI initiatives for a global consulting firm.
Builds and maintains scalable data pipelines for migrating/transforming financial data across systems, standardizing schemas, and enabling enterprise visibility into billions of dollars in payments. Core tech: Python/Scala/Java/C#, Databricks/Spark, cloud warehouses, ETL/ELT, and data quality tools.
Build and maintain scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud services to transform raw data into insights for analytics and AI workloads.
Job Posting Title: Lead Data Engineer Req ID: 10155285 Job Description: About the Role & Team “We Power the Magic!” That’s our motto at Disney Experiences (DX). Our team creates world-class immersive digital…
Builds and maintains scalable data pipelines and feature engineering workflows on Databricks Lakehouse, transforming healthcare/member data into trusted assets for AI, ML, and decision intelligence. Focuses on real-time ingestion, data quality, governance, and collaboration with data science/AI teams.
Become a part of our caring community We are seeking a seasoned Lead Software Engineer to architect and deliver the foundational services that enable real time recommendations to become dependable, auditable, and…
Become a part of our caring community The Lead Data Engineer owns the NBA platform's data foundation on the Databricks Lakehouse. This role is responsible for the architecture, delivery, quality, governance, and…
Designs, develops, and supports data integration and ETL processes for a healthcare data warehouse, writing code in Python/SQL and troubleshooting pipelines while mentoring junior engineers.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and platforms to support enterprise reporting and AI-driven initiatives. The role utilizes technologies such as Azure, Databricks, Snowflake, and dbt to ensure high-quality data availability for the foundation's mission-driven work.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
The Cloud Engineer builds and maintains scalable data solutions on Azure and AWS using Databricks, Spark, and Python. The role focuses on data ingestion, pipeline development, and supporting FinOps initiatives through cross-functional collaboration.
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