Top Data Engineer Jobs

The role involves designing and building reliable data pipelines, managing data ingestion from various sources, ensuring data accuracy, and supporting analytics and machine learning efforts.

The Data Engineer will design and maintain data pipelines, ensuring reliability and quality, while collaborating with Product and Engineering teams to support analytics and reporting.

As a Data Engineer, you'll develop ETL processes, build data pipelines, manage data catalogs, and collaborate with cross-functional teams on technology solutions.

The role involves designing scalable data systems, building data pipelines, developing ETL processes, and collaborating with stakeholders to enhance data usage and insights.

Lead data engineering projects, build data pipelines, design data models, develop ETL/ELT processes, and ensure data quality for actionable insights.

As a Data Engineer II, you will design and operationalize data solutions, mentor teams, and support analytics transformation using AWS and Python, focusing on data quality and governance.

As a Data Engineer, design and maintain Oracle databases, develop applications, optimize queries, and ensure database performance while engaging with stakeholders.

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 will design and maintain data pipelines, optimize SQL queries, implement data workflows, and ensure data quality. The role demands collaborative problem-solving and technical communication skills to support analytics and business intelligence efforts.

The role involves writing and deploying scripts for data collection, transforming data sets, diagnosing bugs, and collaborating with other engineers using agile principles.

The Data Engineer designs and builds AI-driven solutions, optimizes data pipelines, manages integrations, and enhances analytics capabilities across the organization to improve efficiency and decision-making.

The Data Engineer will maintain and optimize data pipelines, manage infrastructure, support ML workflows, and collaborate with teams on data products.

As a Data Engineer, you will develop strategies, metrics, tools, and models to assess and optimize Starlink's customer acquisition, leveraging data insights to enhance business operations.

The Principal Data Engineer will design and evolve data architecture, build data transformation workflows, and ensure integration of diverse data sources while enabling AI and analytics capabilities.

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

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

The Senior Data Engineer will implement data engineering activities, developing pipelines and platforms to organize and make disparate data meaningful for mission-driven projects.

As a Data Engineer, you'll develop advanced technology solutions, create scalable data platforms and ETL workflows, and work with teams to analyze data.

Design, build, and optimize ETL pipelines and data workflows. Collaborate with teams to translate requirements into data solutions, ensuring data quality and efficiency.

As a Data Support Engineer, you will ensure the reliability of data pipelines, resolve data quality issues, and support data consumers. You'll enhance monitoring, mentor new engineers, and drive operational best practices in a team setting.

Design, develop, and maintain data solutions to ensure data availability and quality for analytics. Build data pipelines, optimize database designs, and perform data integration and transformation.

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 a Data Engineer II, you will build complex data solutions, ensure data quality, collaborate with teams, and lead projects to enhance analytics capabilities.

Lead architecture and delivery of SoFi's data platform: build scalable data pipelines, drive cloud-native and AI-enabled tooling, enforce governance and security, mentor senior engineers, and support production on-call.

The Senior Data Engineer will build and maintain data pipelines, optimize data processes, design a data validation framework, and ensure user privacy and security.