Top Senior Data Engineer Jobs

The role involves leading the development of data lakes, designing schemas, building ETL pipelines, and mentoring engineers while ensuring data quality and performance.

The Senior Data Engineer will design and maintain data processing systems, enhance ETL components, and ensure data security and integrity while mentoring junior staff.

The Senior Data Engineer will design and maintain scalable data systems for maritime and defense applications, ensuring secure and resilient operations while collaborating with technical teams.

The Senior Data Engineer designs and develops data pipelines, collaborates with subject matter experts, mentors junior engineers, and implements data integration solutions within an Agile environment.

In this role, the Senior Data Engineer designs and implements data architecture for analytics and ML initiatives, develops ETL/ELT pipelines, and ensures data quality and compliance, while mentoring junior team members.

The Senior Data Pipeline Engineer will manage and evolve Clever's data infrastructure, focusing on AWS, Airflow, Databricks, and ensuring reliable data ingestion and compliance.

Design and implement data systems, manage projects, ensure data quality, mentor junior engineers, and collaborate across teams to provide insights.

Support the development and maintenance of data solutions for a Federal Government client, focusing on ML capabilities and cloud integration.

As a Senior Data Analytics Engineer, you will build and manage data pipelines, support AI/ML initiatives, and ensure data reliability and accessibility within the organization.

Design, build, and operate secure, scalable cloud data pipelines, data lake/warehouse solutions, and governance. Integrate new sources, support analytics and BI, mentor junior engineers, enable data accessibility, and provide production support.

The Senior Data Platform Engineer will lead the architecture and implementation of a Unified Data Platform, focusing on scalable ETL solutions, event-driven architecture, and AI/ML capabilities.

The Senior Data Engineer will develop the data platform, support customers with technical work, and optimize data performance using SQL and Snowflake. They will also collaborate with teams and may need to attain security clearance.

As a Data Fabric Engineer, you will design and maintain data pipelines for SAP data, optimizing performance and ensuring data quality while collaborating with business stakeholders for analytics and reporting.

The Staff Data Engineer will enhance the data ecosystem at WeightWatchers by developing data pipelines, collaborating cross-functionally, and ensuring data quality while leading projects and technical initiatives.

The Senior Data Engineer will design and maintain scalable ETL/ELT pipelines, develop data models, ensure data quality, and collaborate with cross-functional teams to drive analytics and machine learning operations.

As a Senior Data Engineer II, you will design and operationalize data pipelines, support AI/ML tasks, and ensure integration of identity management systems for classified environments.

The Senior Data Engineer designs and maintains data infrastructure, creating scalable data pipelines and ensuring data quality while collaborating with cross-functional teams.

The Data Engineer will design and maintain data pipelines using Big Data technologies, optimize ETL processes, and apply AI techniques. Responsibilities include collaborating on data solutions and ensuring data quality and security.

The role requires designing, building, and maintaining data pipelines using Big Data technologies. Responsibilities include developing ETL processes, ensuring data integrity, collaborating with teams, and applying AI techniques to drive efficiency.

The Senior Data Engineer will drive the migration from Databricks to Snowflake, building scalable cloud-native data infrastructure and ensure data reliability for analytics and reporting.

The Senior Data Engineer will architect and implement scalable data pipelines, ensure data quality, and collaborate with analytics and data science teams while mentoring engineers.

Lead the development and operation of a data lake for cyber operations, design schemas and indexes, build and evolve ETL pipelines, mentor engineers, and drive technical initiatives.

The Senior Data Engineer will develop scalable services, design data integration solutions, manage data pipelines, and ensure compliance in applications as part of a collaborative team.

The Senior Data Platform Engineer designs and maintains a scalable data platform in Snowflake, automates pipelines, and ensures data quality for analytical applications.

The Senior Data Engineer will design, build, and optimize scalable data pipelines and models using Microsoft Fabric and PySpark, aimed at supporting analytics and AI capabilities.