Top Data Engineer Jobs

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

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.

The Data Engineer will architect and expand data products for Netflix's Ads business, developing data pipelines, collaborating with analysts, and ensuring data quality.

The Data Engineer III will design, develop, and support data solutions using Azure technologies while analyzing and optimizing data processes.

The Data Engineer II will design, build, and maintain data architecture and systems, ensuring efficient data processing and storage, while collaborating with stakeholders for analytics needs.

Lead the design and development of cloud-native big data solutions for generative AI. Collaborate with teams to innovate and implement data pipelines.

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

As a Principal Data Engineer, you will design and optimize data architecture, manage data pipelines, collaborate with teams, and ensure compliance with data privacy regulations while delivering scalable solutions.

The Data Engineer will design and manage data infrastructures, implement quality monitoring systems, collaborate across teams, and build dashboards to support business analytics.

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

Build the data platform from scratch, architect data systems, analyze user engagement, optimize financial performance, and execute experiments.

As a Data Engineer II, you will build and operationalize complex data solutions, perform data analysis, and collaborate across teams to enhance analytics capabilities.

As a Data Engineer, you will design and implement data platform capabilities, support compliance, and ensure secure data consumption while mentoring clients and improving data pipelines.

The Senior Data Engineer role involves designing scalable data pipelines, developing workflows using Databricks, and integrating with Azure DevOps for CI/CD. Collaboration with data stakeholders and optimization of data processes are key responsibilities.

The Data Engineer will create scalable analytics solutions, manage data integrations, report on marketing performance, and develop pipelines using various technologies.

The Gen AI Data Engineer I will develop and maintain data engineering solutions, collaborate with teams to implement AI-driven applications, and ensure system reliability and scalability.

As a Data Engineer, you will construct data pipelines, design data solutions, perform data analysis, and collaborate to enhance analytics capabilities.

The role involves interacting with Solana nodes, building data pipelines to ClickHouse, designing dashboards, maintaining data accuracy, and responding to on-chain incidents.

The Data Engineer will design and maintain data pipelines, implement ETL processes, optimize data storage, and collaborate on reporting requirements.

CapTech seeks Data Engineers to develop data pipelines on AWS, Azure, or GCP, collaborating to optimize data architecture solutions.

The Data Engineer will develop data pipelines and products on cloud platforms, advise clients on technology, and ensure optimal data architecture.

Responsible for designing and developing scalable data pipelines and platforms, collaborating with stakeholders, and ensuring data quality and compliance.

The Senior ETL Developer is responsible for developing solutions for data warehousing, coding ETL programs, and executing data workflows for reporting, using various Azure tools.

The role involves designing and maintaining Alteryx workflows, integrating with Microsoft tools, developing SQL databases, and collaborating with stakeholders for data accuracy and optimization.