Top Data Engineer Jobs

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

The Senior Data Engineer will design and build scalable data pipelines, manage cloud infrastructure, ensure code quality, and collaborate with stakeholders for data architecture improvements.

Intern will gain hands-on experience in data engineering by working with technologies like Databricks, SQL, and Azure. Responsibilities include technical proficiency development and participation in AI projects.

As a Lead Enterprise AI Data Engineer, you will design and build scalable data pipelines and AI tooling, enabling data-driven decision making in collaboration with business stakeholders and data scientists.

Join the Artist-First AI Music lab to build and maintain large-scale distributed data pipelines (Scio/Dataflow), improve data quality via CI/CD, collaborate with cross-functional teams, and support generative-music products using BigQuery and other GCP tooling.

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 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 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 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 design, develop, and maintain ETL workflows and pipelines, optimize performance, troubleshoot ETL processes, and ensure data quality in a healthcare setting.

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.

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.