Top Data Engineer Jobs

The role involves building scalable data pipelines, optimizing ETL workflows, designing data schemas, and ensuring data quality and governance while collaborating with cross-functional teams.

The Senior Data Engineer processes structured and unstructured data, validates quality, develops data products, and provides guidance. Responsibilities include data processing, quality assurance, Agile planning, product development, and supporting deployed applications while monitoring emerging technologies.

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 Platform Operations Engineer ensures the reliability and performance of the Performance Team's data systems, managing data workflows, monitoring ETLs, resolving data issues, and optimizing performance.

The Principal Data Engineer will design and build scalable data pipelines and infrastructure for Customer Success, ensuring data quality and governance, collaborating with various teams to support analytics and reporting needs.

As a Senior Data Engineer, you will design and maintain databases, develop ETL processes, solve production issues, and leverage AI for automation. You'll work with SQL and SSIS, developing solutions to improve health outcomes in a collaborative environment.

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

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 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 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 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.

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.

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.

The Data Engineer will design and maintain ETL pipelines on Databricks, ensuring data quality and performance for banking applications, while mentoring junior engineers.

The Senior Consultant - Data Engineer will build scalable data systems, manage data pipelines, and enhance data lifecycle processes to drive business decisions.

The Data Engineer I role supports data platforms by building pipelines, managing databases, and ensuring data quality in collaboration with business teams.