Top Data Engineer Jobs

As a Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.

The Data Modeler will design and maintain data models, support data architecture, collaborate with product teams, and ensure quality and governance of data products.

Lead Data Engineer responsible for designing data models, implementing data solutions, managing data pipelines, and collaborating with teams to drive technical initiatives.

As a Senior Data Engineer, you will design and maintain databases, develop ETL processes, solve production issues, and leverage AI for automation. You'll work with SQL and SSIS, developing solutions to improve health outcomes in a collaborative environment.

The Senior Data Engineer designs and builds scalable data pipelines, optimizes ETL/ELT workflows, resolves data quality issues, and collaborates with stakeholders for healthcare data integration.

The Senior Data Engineer designs and operates scalable data platforms, develops ETL/ELT pipelines, ensures data quality, and collaborates with teams for analytics and AI solutions.

The Data Engineer will build and optimize data pipelines and infrastructure, ensuring data quality for analytics and machine learning initiatives while collaborating with teams to develop data solutions.

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

As a Lead Data Engineer, you will design and develop solutions, collaborate with teams on data technologies, and support cloud-based data warehousing and big data applications.

The Lead Data Engineer will design and develop technical solutions, collaborate with agile teams, and implement cloud-based data solutions, focusing on real-time data applications and big data technologies.

The Data Engineer role focuses on building and maintaining data pipelines, integrating various data sources into a cloud platform, and ensuring data quality and security in an Agile setting.

The Enterprise Data Engineer designs and delivers data solutions, develops data pipelines, and contributes to Agile team processes while mentoring others.

The Data Engineer will design, build, and maintain ETL/ELT pipelines, contribute to data infrastructure, and collaborate with teams to ensure data quality and governance.

The Data Engineer will execute data architecture projects, manage data ingestion processes, ensure data quality, and transition data to new systems while collaborating with investment teams.

Design, build, and maintain Azure Lakehouse architectures, process large datasets using Spark and Databricks, and optimize ETL/ELT pipelines.

The AWS Data Engineer designs and maintains data solutions on AWS, implementing scalable pipelines, integrating systems, ensuring security, and optimizing workflows.

The Data Engineer will design and maintain data infrastructure, develop ETL/ELT pipelines, manage data warehouses, and collaborate with cross-functional teams.

The Lead Cloud Data Engineer will design and optimize ETL pipelines, manage data quality, and collaborate with teams to meet data needs. Responsibilities include monitoring pipelines and mentoring junior engineers, while leveraging AWS and other cloud technologies.

In this role, you will build and scale data pipelines, develop ETL workflows, ensure data quality, and support AI-driven applications by preparing datasets.

Data Engineers at Rhombus Power design and implement data infrastructure, develop and maintain data pipelines, and work cross-functionally to support analytics and machine learning initiatives.

The Data Engineer will develop data platforms, manage ELT pipelines, ensure data quality, optimize Snowflake performance, and collaborate with various teams to support AI initiatives.

This role involves designing and implementing database solutions, collaborating with teams, and ensuring data security and performance for customer projects.

Design and implement scalable database solutions, collaborate with teams, configure database environments, ensure performance and security, and provide technical guidance.

The Data Engineer II will develop and maintain data pipelines, implement Lakehouse architecture, ensure data quality, and collaborate with teams to improve platform offerings.

The Data Engineer will design and develop scalable analytics solutions using Azure Data Explorer and Power BI, modeling large datasets into insights and visualizations, while mentoring junior team members.