Top Senior Data Engineer Jobs

The Senior Data Engineer designs scalable data solutions to harmonize data across various ERP systems, implementing ETL/ELT pipelines and ensuring data quality and governance.

Responsible for designing, developing, and maintaining scalable data pipelines and infrastructure, implementing data governance, and collaborating with teams to meet data needs.

As a Senior Data Engineer, you will design, prototype, and deploy data-driven solutions, working closely with product and engineering teams, focusing on rapid delivery and enterprise standards.

The Principal Data Platform Engineer leads the architecture and delivery of data platforms using Databricks, focusing on data pipeline design and client relationships.

The role involves designing and delivering data-driven solutions, building AI agents, and collaborating across teams to solve business problems using data and engineering principles.

The Senior Data Engineer will enhance operational performance by building data pipelines, managing AWS tools, and implementing medallion architecture for data governance and cost optimization.

The Lead Data Engineer will oversee the architecture and operationalization of the Finance reporting data platform, focusing on Databricks, SQL, and Power BI. Responsibilities include designing scalable data solutions, optimizing data workflows, developing reporting datasets, implementing data quality frameworks, and leading data engineering projects.

The Sr System Analyst, Data Activation Engineer designs and builds data integration pipelines, ensuring data integrity and validating data contracts for analytics platforms. This collaborative role requires functional and technical interface design, monitoring pipelines, and documenting processes to deliver reliable data.

The Senior Data Engineer will lead data engineering efforts, develop ETL processes, design BI dashboards, ensure data integrity, and provide technical advice to management in a secure Microsoft 365 environment.

The Senior Data Engineer will develop and optimize data pipelines, work with analytics and BI tools, and mentor junior engineers.

The Senior Azure Data Platform Engineer manages Azure SQL databases and Data Factory operations, ensuring stability and performance in a complex environment. The role involves troubleshooting, automating processes, and engaging with clients while leading data load ownership initiatives and enhancing operational practices.

Responsible for integrating and structuring data, creating SQL and Python pipelines, and ensuring data quality for analytical solutions.

Design and maintain scalable data pipelines using Snowflake, optimize performance, collaborate with teams for robust data solutions, and enforce data quality checks.

As a Senior Data Engineer, you will design, build, and maintain data pipelines and infrastructure, collaborating with teams to facilitate data-driven decisions.

The Senior Data Engineer designs and optimizes scalable data pipelines using Azure services, collaborates with teams, mentors others, ensures data quality, and drives innovation in data architecture.

The Software Engineering Manager will lead data engineering teams, oversee development of data pipelines, and enhance analytics capabilities while mentoring engineers and collaborating with vendors.

The Senior Data Engineer will develop data pipelines, analyze geospatial data, implement quality assurance processes, and support database synchronization with APIs, contributing to climate risk financial modeling.

As a Senior Data Engineer, you'll design and deploy data systems, mentor developers, and create scalable data solutions in the cloud.

As a Senior Data Engineer, you will design and maintain data pipelines and warehouse architecture, ensure data quality, and partner with cross-functional teams.

The Staff Data Engineer will lead the architectural design and implementation of a compliant data platform, collaborating with multiple teams to ensure scalability, reliability, and security.

The Senior Data Engineer leads the design and optimization of scalable data pipelines for AI-driven analytics while collaborating with cross-functional teams. Responsibilities include ensuring data integrity, automation, and compliance in cloud environments, particularly on Google Cloud Platform, to enhance decision-making processes.

In this role, you will design data architecture, lead integration strategies, mentor engineers, and drive AI infrastructure for cross-division data systems.

Design and develop data solutions, maintain databases, enhance data quality, mentor junior engineers, and lead data process improvements.

The Senior Data Engineer will develop scalable data pipelines, manage data warehousing solutions, troubleshoot data pipeline performance, and apply data science techniques while ensuring data quality.

The Senior Data Engineer will design and maintain data architecture and integration solutions, develop enterprise data pipelines, enforce data quality, and mentor junior team members while collaborating with business stakeholders.