Top Data Engineer Jobs

Design and maintain data pipelines and lake platforms, optimize data processing with cloud technologies and collaborate with team members for AI initiatives.

The Junior Data Engineer will support the War Data Platform by constructing and maintaining data pipelines, ensuring data quality, and collaborating with teams to enhance data usability and analytics readiness.

Build, maintain, and scale ELT data pipelines and dbt models using BigQuery and Python. Ensure data quality, optimize analytics performance, document models, monitor pipelines, and collaborate with analytics, product, and game teams.

The Data Engineer will design, build, and deploy scalable data solutions, optimize data flows, and implement ETL processes, leveraging various cloud platforms and technologies.

Design and implement scalable, secure enterprise geospatial database solutions using Esri technology. Collaborate across project phases to configure, maintain, tune, secure, and automate databases, support ArcGIS applications, and provide technical guidance for migrations, integrations, and operational readiness for Defense/Intel clients.

Consult with customers to design and implement enterprise geospatial database solutions using Esri/ArcGIS technologies. Configure, secure, monitor, and automate databases (backup/HA/DR, performance tuning, data loading). Collaborate across teams, provide technical guidance, and support database migrations and integrations for mission-critical defense and intel applications.

Design, implement, and maintain secure, high-availability geospatial and enterprise database solutions. Collaborate with cross-functional teams to configure, automate, monitor, and tune databases, enforce security and compliance, and provide technical guidance for migrations and integrations supporting ArcGIS web, desktop, and mobile workflows.

Design, implement, and maintain scalable, secure geospatial database solutions supporting ArcGIS web/desktop/mobile. Collaborate with cross-functional teams on requirements, configuration, backup/DR, performance tuning, security, automation of data workflows, and provide technical guidance throughout implementations for Defense and Intel clients.

Consult with customers to design and implement scalable, secure enterprise geospatial database solutions using Esri/ArcGIS technologies. Configure and maintain database environments (backup, HA/DR), monitor and tune performance, implement security and access controls, automate data workflows, and provide technical guidance across requirements, design, build, and deployment phases. Support integration with ArcGIS web, desktop, and mobile applications for Defense and Intel clients.

The Lead Platform Data Engineer will design data architecture, develop scalable workflows, ensure data quality, and mentor teams in modern DataOps practices.

The Data Engineer Software Developer will design and maintain scalable data systems, integrating multiple data sources for analytics. Responsibilities include implementing solutions with Confluent Kafka and Elastic Stack, optimizing performance, and automating data tasks, while ensuring compliance and collaborating with teams.

The Cloud Data Engineer will design and develop data warehouse solutions, create efficient data pipelines, collaborate with teams, and monitor system health.

The Data Engineer role involves designing and maintaining AWS-cloud-native data systems, developing ETL processes, optimizing data pipelines, and ensuring data security and governance in healthcare data applications.

The Data Engineer will design and develop data pipelines for quality monitoring, assess data integrity, and build web applications supporting user validation and analysis.

The Data Engineer will clean, manage, and analyze datasets, automate ETL processes, and collaborate with traders and software engineers to derive insights.

The Data Engineer at Anteriad will design, build, and optimize data pipelines, manage data integration processes, support analytics efforts, and collaborate with stakeholders to deliver scalable data solutions.

The Data Engineer will manage data pipelines for financial institutions, translating raw transactions into insights while collaborating with various teams to enhance data models and tools.

As a Data Engineer at Booz Allen, you will organize data from varied sources to derive insights, develop data pipelines, and support mission-driven projects. You will work collaboratively within a multidisciplinary team in an agile environment.

The Principal Data Engineer will design and implement data infrastructure for Voice AI products, lead a team of data engineers, and optimize data systems for machine learning. Responsibilities include building data pipelines, driving infrastructure strategy, and collaborating with cross-functional teams.

Design, build, and maintain cloud-native AWS data platforms and scalable data lake/warehouse solutions. Develop and deploy data pipelines for structured and unstructured data to support AI/ML and BI, lead cross-functional teams, and manage cloud migration and modernization efforts. TS/SCI with polygraph and a CS bachelors degree required.

As a Data Engineer, you will develop scalable solutions for data processing, manage data pipelines, and collaborate in a fast-paced environment to create impactful insights for clients.

The Junior Data Engineer will work with data to enhance trading systems, support data warehouses, and collaborate on technical solutions with the team.

The Databricks Data Engineer will design and implement ETL pipelines, manage data ingestion processes, and collaborate with business teams to create analytics solutions.

The Principal MarTech Data Engineer will design data architecture, build data pipelines, ensure data quality, and lead cross-functional technical initiatives to enhance marketing technology and data privacy infrastructure.

Design, develop, and maintain clinical data integrations, ETL processes, and the enterprise data warehouse. Implement healthcare data standards and code sets, build analytics and validation reports, document processes, and collaborate with teams and clients to deliver data-driven solutions supporting population health.