Top Data Engineer Jobs

Operate and support critical data pipelines and infrastructure, troubleshoot production data issues, perform root cause analysis, implement automation and monitoring, own incident management and on-call rotation, and create support documentation to ensure reliable, timely, and consumable data for stakeholders.

Lead and mentor a data engineering team to design and operate scalable ETL/ELT pipelines and Snowflake data warehouse solutions using Python, DBT, Matillion, and AI tools; establish standards, ensure data quality and governance, and collaborate with analytics, product, and BI stakeholders to deliver production-ready data platforms.

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

The Senior Data Engineer will manage data flow and ensure accuracy, improve data engineering stacks, build and maintain analytics warehouses, and support stakeholders with data solutions while participating in system reliability on-call rotations.

As a Data Engineer at Booz Allen, you'll analyze and visualize structured and unstructured data to derive insights, working closely with stakeholders and leveraging advanced technologies for decision-making support.

As a Data Engineer Lead, you will develop and maintain complex data applications, oversee data engineering activities, mentor teams, and work on mission-driven projects involving data insights.

The Data Engineer II will build and maintain data pipelines and infrastructure, ensuring data flow and integrity for investment decisions while collaborating with stakeholders.

The Junior Data Engineer will build, maintain, and monitor data pipelines for laboratory and R&D functions, ensuring data quality and governance while collaborating with various teams.

As a Snowflake Data Engineer, you will design and maintain scalable data pipelines, optimize SQL transformations, and support analytics platforms, collaborating with stakeholders.

As a Data Engineer II at Lennar, you will design and implement data pipelines, manage AWS resources, collaborate across teams, and optimize data storage for efficiency and performance.

The Senior Data Engineer at HealthPartners will build, manage, and optimize data pipelines, collaborate with teams, design technology solutions, and ensure data reliability and quality while mentoring team members.

The Data Engineer will design scalable data architectures, implement data pipelines, and collaborate with teams to enhance AI/ML solutions for industrial customers, ensuring data quality and efficient workflows.

As a Data Engineer, you'll design and implement data pipelines on Google Cloud, manage cloud infrastructure, ensure data quality, and enable analytics for marketing insights.

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 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.