Top Data Engineer Jobs

You will build and operate a validated data platform, ensuring data integrity, mentoring team members, and collaborating on data discoverability and queryability.

The Senior Data and Solutions Engineer develops data pipelines, manages analytics frameworks, and collaborates with stakeholders to improve data quality and reporting consistency.

The Senior Data Engineer will build and manage data pipelines, optimize data structures, automate workflows, and collaborate with teams to ensure data reliability.

The Senior Data Engineer will design and build data models, manage data pipelines, improve data quality, and collaborate with teams to deliver reliable data solutions for the company.

Design, build, and operate Azure Lakehouse architectures and scalable ETL/ELT pipelines, ensuring data quality and performance. Collaborate with teams for enterprise solutions.

As a Senior Data Engineer, you'll define data ontology, collaborate with teams, design data pipelines, and optimize data infrastructures to support analytics for Yahoo Mail.

As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.

As a Data Platform Engineer, you'll architect and implement data services, build data pipelines, optimize for real-time risk assessment, ensure data governance, and collaborate across teams.

The Senior Data Engineer will design and implement data pipelines, ensure data quality, and collaborate with stakeholders to advance data initiatives.

Lead data engineering projects and develop advanced architectures for large datasets. Collaborate with leadership to drive business growth and efficiency through data.

The Senior Data Engineer will implement a new data architecture, build core data systems, and ensure operational excellence, focusing on AI feature development and data governance.

As an Analytics Product Engineer, you will lead product strategy for data products, design scalable data models, and develop transformation pipelines while collaborating with stakeholders and improving analytics capabilities.

The Staff Data Engineer will design data architecture, develop scalable data pipelines, ensure data quality, and lead governance practices while collaborating across teams.

The Data Analytics Platform Engineer will design and implement data pipelines, manage platforms, and provide data insights for various missions, focusing on cybersecurity and operational efficiency.

The Senior Data Engineer will design, build, and optimize modern data platforms using Azure and Databricks, while collaborating directly with clients to fulfill their data-related needs.

Develop and implement a data management strategy, oversee data governance and architecture, ensure compliance, and manage vendor relationships to support organizational goals.

The Senior Engineer, Data will architect and deploy data pipelines, optimize databases, collaborate with teams, and maintain data integrity. They will also enhance data architecture and improve processes using various technologies.

The Senior Data Engineer will build data pipelines, mentor team members, design complex data solutions, and support AI and business intelligence initiatives.

The Staff Data Engineer will architect and implement a next-generation data platform, build data pipelines, and ensure data integrity for actionable insights.

Design and develop Python-based analytics tools for investment research and portfolio analysis, while managing data lakes and AWS solutions.

In this role, you will lead customer engagements, provide technical solutions, and guide customers on the Databricks platform, focusing on big data architectures and integrations.

Design, build, and maintain scalable data architectures using Databricks on AWS or Azure, ensuring data integrity and optimizing workflows.

The Software Engineer will build and operate the cloud infrastructure for data ingestion, collaborating with scientists to improve dataset quality, scale, and cost efficiency for AI model training.

The role involves building data platforms and pipelines, integrating AI solutions, and collaborating with product owners to address complex client issues.

The Lead Data Engineer will design and architect data retrieval systems, build inference infrastructure, improve data quality, and mentor a specialized team to enhance customer success through AI integration.