Top Data Engineer Jobs

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 Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

The role involves building and improving WHOOP's data platform infrastructure, ensuring reliability and efficiency, and driving best practices across engineering and data workflows.

As a Senior Lead Data Engineer, you'll lead development teams, design technical solutions, utilize big data and cloud technologies, and drive transformation initiatives.

Lead the design and implementation of technical solutions using big data technologies. Collaborate with teams to deliver cloud-based data solutions and support Agile practices.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

As a Senior Data Engineer, you will manage data integration, optimize performance, mentor junior engineers, and collaborate with product teams on innovative solutions in healthcare data modeling.

As a Lead Data Engineer, you will design scalable data platforms, optimizing pipelines, defining data models, and guiding data integration while collaborating with cross-functional stakeholders to align strategies with business goals.

The Microsoft Fabric Data Engineer will manage and optimize Microsoft Fabric environments, ensure data integration, support analytics, and comply with healthcare regulations while collaborating with teams.

This role involves developing ETL processes in Python, managing data warehousing, optimizing Azure data solutions, and ensuring data quality and compliance.

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 Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.

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

Lead Data Engineer responsible for designing data models, implementing data solutions, managing data pipelines, and collaborating with teams to drive technical initiatives.

The Staff Data Platform Engineer will architect the data platform, define integration patterns, establish data governance, and mentor teams across the organization while ensuring data reliability and self-service capabilities.

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

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

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

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

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.

The Senior Data Engineer designs and builds scalable data pipelines, optimizes ETL/ELT workflows, resolves data quality issues, and collaborates with stakeholders for healthcare data integration.

The Senior Data Engineer designs and operates scalable data platforms, develops ETL/ELT pipelines, ensures data quality, and collaborates with teams for analytics and AI solutions.

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