Top Data Engineer Jobs

Design, build, and maintain data infrastructure, client integrations, and data models to support analytics and AI at Trovo Health.

The Data Analytics Engineer will enhance Salesforce analytics, translate business requirements into technical specifications, maintain data flows, and ensure data quality and reporting standards.

As a Data Engineer, you will build and enhance data pipelines, collaborate with analytics teams, and improve data quality and accessibility to support data-driven decision-making.

The Data Engineer role focuses on designing and implementing data pipelines, collaborating with stakeholders, ensuring data quality, and optimizing data processing workflows.

The Data Engineer at Netflix builds systems for efficient data processing and modeling, collaborating with various teams to empower analytical insights and product features.

The Data Engineer will develop and optimize data pipelines, manage data architecture, support cross-functional teams, and ensure data security and integrity.

The Data Engineer will analyze data quality, design prediction algorithms, collaborate with the engineering team, and generate business insights.

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

Responsible for designing, building, and maintaining data pipelines and infrastructure, collaborating with data scientists and stakeholders to support data-driven decisions.

The IT Data Engineer will design and implement ETL pipelines, modernize data workflows, support analytics, and collaborate with teams on data needs.

The Data Engineer will assist in testing and deploying applications, implementing data quality and warehouse pipelines, and collaborating with various teams.

The Data Engineer will build ETL pipelines and data infrastructure, ensure data quality, and implement modern data warehousing for analytics improvements, while collaborating with stakeholders across teams.

The Data Engineer will design and manage data pipelines, develop datasets for product metrics, and collaborate with teams to ensure robust data integration and processing.

The Data Engineer will manage data ingestion in Salesforce, standardize lead data, ensure data quality, and optimize integration workflows.

The Data Engineer will develop Python data applications, collaborate with teams to optimize data solutions, and maintain production operations support.

As a Data Engineer, you will build and maintain data pipelines, collaborate on data modeling, and automate data processes for the Games team at Netflix.

The Data Engineer will build scalable privacy-centric data frameworks, engineer data pipelines, and ensure compliance with privacy regulations at Netflix.

Design and build scalable platforms for data ingestion and storage, collaborate with hardware engineers, and define engineering processes at Sift.

Seeking a Data Engineer to design, build, and maintain data pipelines using Python, AWS, Databricks, and SQL, ensuring data reliability.

Responsible for implementing AI data pipelines, developing AI-driven systems, and ensuring the reliability and scalability of data solutions while mentoring junior team members and collaborating with cross-functional teams.

The Staff Data Engineer will design, build, and optimize large-scale data capabilities, focusing on automation and intelligent decision-making within the organization. Responsibilities include software design, implementation, and promoting best engineering practices.

The Senior Data Engineer will design and build data pipelines and infrastructure to support data science and business intelligence solutions, utilizing AWS services and streaming technologies.

Design and maintain high-quality data pipelines, develop DBT models, collaborate with analytics and data science teams, and optimize data operations for scalability.

The Lead Data Engineer will design and maintain data pipelines, providing technical leadership and collaborating on cloud-based solutions.

Lead Data Engineer responsible for designing and maintaining data pipelines, working with cloud technologies, and providing technical leadership in a collaborative environment.