Top Data Engineer Jobs

As a Data Engineer, you will design scalable data platforms, lead a skilled engineering team, collaborate on product development, and adopt engineering excellence principles within Agile frameworks.

The job involves building responsive web dashboards, advanced data visualizations, and analytics tools for unmanned aircraft systems, requiring a deep understanding of UI/UX design and data presentation.

The Data Engineer will lead data modeling efforts for Navy and DoD projects, integrating engineering methodologies, overseeing data solutions, ensuring quality and alignment with project goals, and collaborating with cross-functional teams.

The Data Engineer will build and maintain data platforms, deploy pipelines, monitor transformations, and collaborate with Data Scientists and DevOps.

As a Junior Data Engineer, you will assist in designing ETL/ELT workflows, maintain Python and SQL codebases, debug data pipelines, document processes, and collaborate with product teams on technical solutions.

Data Engineers at Rhombus Power design and implement data infrastructure, analyze and maintain data systems, and collaborate across teams. They develop code for data processes and ensure strong client connections.

We are seeking a Data Engineer to design, build and optimize scalable data pipelines. Strong experience in Databricks, PySpark, and data warehouse concepts is required.

Design and build ETL pipelines, integrate cloud-based data sources, ensure data quality, and support migration to cloud infrastructure while collaborating with data scientists.

This role involves building ETL pipelines, migrating data to cloud platforms, ensuring data quality, and supporting data transfer protocols. Responsibilities include troubleshooting issues and collaborating with data scientists.

The Data Engineer Intern will modernize public health data systems, assisting in data pipelines, integration, and governance while collaborating with teams to support public health decision-making.

The Senior Lead Data Engineer will build data pipelines, optimize ETL processes, and lead analytics initiatives to enhance operational efficiency and strategic decision-making at NAB.

The Data Engineer designs data architectures and pipelines, supports analytics teams, solves complex data challenges, evaluates tools, and mentors team members.

As a Sr Data Engineer, you'll conduct feasibility analyses, develop applications, monitor processes, consult with users, and ensure compliance while serving as a mentor to junior analysts.

The Data Engineer will develop data pipelines, manage complex data sets, and ensure data reliability while collaborating within an Agile/Scrum team.

The Data Engineer will develop data pipelines, support automation, and collaborate within an Agile team to manage complex data sets, ensuring performance and reliability in data processing.

The Data Engineer will develop data pipelines, ensure data reliability, and support process automation while collaborating within Agile teams.

Responsible for developing data pipelines, ensuring data extraction performance, and collaborating in an Agile team to provide data-driven solutions.

The Data Engineer develops data pipelines, supports Agile teams, ensures data performance, advocates for lean practices, and collaborates across functions to deliver insights for federal customers.

The Data Engineer will support Data Analytics and Business Intelligence efforts, developing data pipelines, ensuring data performance, and collaborating within Agile frameworks to meet complex requirements for federal clients.

The Data Engineer will develop data pipelines, support Agile teams, ensure data performance, and collaborate to implement complex requirements for federal customers.

This role involves developing data pipelines, ensuring data performance, automating processes, and collaborating within Agile teams to meet complex data requirements.

The Data Engineer will develop data pipelines, support Agile team collaboration, ensure data extraction performance, and promote process automation.

The Data Engineer will develop data pipelines, support data automation, collaborate with Agile teams, and ensure data reliability and performance. The role requires strong ETL skills and experience with relational databases, big data analysis, and CI/CD practices.

As a Senior Data Engineer, you will design and maintain scalable data models, build production data pipelines, and support analytics across various business functions.

The Lead Data Engineer is responsible for designing and implementing data models, optimizing data pipelines, and ensuring data quality and reliability within a collaborative analytics team environment.