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OSOTto Databricks Migration & Platform Ownership · Lead the end-to-end migrationof the current OSOT solution (data lakes, data warehouse, data marts, andTalend/SQL/Python pipelines) onto the Databricks Data…
About Northern Trust As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals,…
Lead a team building and optimizing large-scale ETL pipelines and cloud-native data solutions using Python, PySpark, AWS, and Snowflake to power JPMorgan Chase’s financial data products.
Job Description: MLOPS Senior Lead Engineer Bachelor’s or master’s degree with 8+ years of experience in Computer Science, Data Science, Engineering, or a related field. 4+ years of experience in working with Python,…
Fluent is building the next generation advertising network, Partner Monetize & Advertiser Acquisition. Our vision is to build an ML/AI first network of advertisers and publishers to achieve a common objective,…
This role involves designing, scaling, and operating a cloud-based data platform using AWS and Databricks. The engineer will focus on infrastructure as code, networking, CI/CD pipelines, and enterprise data integrations.
The Senior Data Engineer designs and maintains data pipelines and reporting solutions using Databricks, Python, Spark, and SQL. The role involves migrating legacy SSIS/SSRS systems to modern cloud architectures while utilizing AI-assisted development tools.
The Senior Data Engineer will design, develop, and maintain data integration pipelines and reporting solutions using Databricks, SQL Server, SSIS, and SSRS. The role involves migrating legacy systems to Databricks and supporting analytics and AI/ML workloads using AI-assisted development tools.
The Data Engineer will design and build scalable data pipelines and analytics solutions using Spark, Python, and Azure cloud services. The role also involves integrating AI-enabled technologies like LLMs and agentic frameworks into data products to support business transformation.
The Senior Data Engineer builds and maintains AI-ready data products for translational medicine, utilizing AWS, Databricks, and Python to create governed datasets. The role involves end-to-end ownership of data pipelines, collaborating with scientists to translate research needs into robust data models.
This role acts as a technical authority for data engineering, designing and maintaining data pipelines within an Azure cloud environment. The engineer will focus on platform optimization, DevOps automation, and mentoring team members to ensure high-quality, scalable data solutions for global mining operations.
The Senior Data Architect will lead enterprise data architecture and engineering for a DoD program using Palantir Foundry and Databricks. This hands-on role involves designing data models, building ETL pipelines, and developing Foundry Ontologies to support mission-critical applications.
Job Role: Data Architect Working Structure: Hybrid (Regular visits to client site) Career Grade: Senior Technical Consultant The role: As a Data Architect at CACI Information Intelligence Group, you will join a…
This role is responsible for the design, development, and maintenance of data integration and reporting solutions. Working primarily in Databricks, you will build and maintain the pipelines and datasets that feed our…
Contract Data Engineer role in Sydney designing, building, and optimizing large-scale data pipelines and lakehouse architectures using Databricks (Spark, Delta Lake), Python, SQL, and dbt.
Databricks Engineer designing and optimizing data pipelines, lakehouse architectures, and ML pipelines on the Databricks platform using Spark, Python, SQL, Delta Lake, and cloud infrastructure.
Mid-level Java/Python developer building scalable, cloud-native enterprise applications on Microsoft Azure while leveraging AI-powered tools (e.g., GitHub Copilot) to automate code generation, testing, and CI/CD workflows.
Leads the Data Engineering function, owning strategy, architecture, and delivery across a Microsoft Fabric-led data estate. Requires expertise in Microsoft Fabric, Delta Lake, medallion patterns, and enterprise data integration with platforms like Salesforce and Workday.
Data Engineer designing and building production-grade data pipelines using Microsoft Fabric, PySpark, and Azure technologies for regulated UK public-sector clients.
Lead architecture and implementation of scalable Data Lakehouse solutions on GCP (BigQuery, GCS, BigLake, Dataplex), design real-time and batch data pipelines, establish data governance practices, and serve as technical lead and client advisor.
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