Top Data Engineer Jobs

As a Senior Data Engineer, you will manage data pipelines, ensure data quality, partner with teams for data-driven decisions, and improve the data platform while maintaining data integrity.

The Senior Data Engineer will create and manage data pipelines, ensuring data quality, collaborating with teams for data-driven decisions, and evolving the data platform.

Design and build Retool's data infrastructure, optimize ETLs, ensure data access and quality, and collaborate with stakeholders across the company.

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

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 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.

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 design and maintain data processing systems, enhance ETL components, and ensure data security and integrity while mentoring junior staff.

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

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

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 Data Visualization Developer will build and maintain the data and analytics architecture, develop visualizations, and collaborate with stakeholders to support the management of the investment portfolio.

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.

As a Data Solutions Engineer, you'll manage customer data migrations and GIS onboarding from legacy systems, ensuring data quality and accuracy while interfacing with government staff.

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 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.

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.

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.

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.

Lead the design and implementation of complex database and BigData solutions across AWS and private cloud while managing global teams and optimizing database performance.

The Data QA Engineer is responsible for ensuring data quality through automated testing frameworks, SQL queries, and collaboration with analytics teams.

The Senior Data Engineer is responsible for developing and optimizing data models, collaborating on data architecture, and managing data flow for analytics and business intelligence.

The Senior Data Engineer designs and optimizes modern data platforms, leads client engagement, develops data pipelines, and contributes to project planning.

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.