Top Data Engineer Jobs

As a Principal Data Engineer, you will design and implement data infrastructure and solutions, collaborating across teams to enhance healthcare data usage.

The Founding Data Engineer will manage the company's data models, ensure metric integrity, and work with various teams to deliver reliable metrics and reporting systems.

The Principal Data Engineer leads data engineering efforts, establishing standards, overseeing architecture, and mentoring teams to build enterprise-scale data platforms using Microsoft Fabric and Azure services.

The Data Engineer will structure and deliver translation memory data using a Translation Management System, requiring expertise in data science and cloud services.

The Data Engineer will construct data infrastructure, develop machine learning workflows, maintain data pipelines, integrate software components, and collaborate across teams to enable data-driven decisions.

Seeking an expert Data Engineer to construct data analytical infrastructure and pipelines, collaborating with Data Scientists to enhance machine learning workloads and automate data processes for national security missions.

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

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 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 will design and maintain data pipelines on Azure, manage ClickHouse for analytics, and ensure healthcare compliance while supporting ML integration.

As a Palantir Data Engineer, you'll work on data exploration and analytics projects, apply innovative methodologies, and support military missions using AI solutions.

The role involves designing scalable data infrastructure, developing AI-driven solutions, managing ETL pipelines, and enhancing operational efficiency using data and AI technologies.

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

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.

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, 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 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.

As an Analytics Engineer, you'll manage the data stack, design database architecture, build data pipelines, and oversee reporting and data quality.

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.

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.

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

As a Senior Data Engineer, you'll design and maintain complex data applications, build ETL workflows, and lead multi-disciplinary teams in data-driven projects.

The Associate Data Engineer will participate in a training program focusing on data solutions, helping enterprises with data projects post-training. Responsibilities include effective communication, teamwork, problem-solving, and resourcefulness.

Develop and manage SQL databases, optimize queries and pipelines, implement ETL workflows, and ensure data security and integration. Requires robust coding skills for cloud infrastructure support.