Top Data & Analytics Jobs

The Snowflake Developer designs, develops, and maintains Snowflake environments, data models, and automated data pipelines, ensuring data quality and collaboration with cross-functional teams to meet analytical needs.

The Data Engineer III will design and maintain data platforms on AWS, implement CI/CD pipelines, and develop data pipelines using various tools and technologies for effective data processing and management.

This role involves overseeing data engineering applications, mentoring junior staff, analyzing complex issues, and fostering collaboration with stakeholders to achieve business insights and optimize data processes.

The role involves building large, scalable analytics pipelines, defining data models, integrating data, and collaborating on data architecture and strategies.

As a Data Engineer II, you will build, scale, and optimize data platforms, focusing on ETL/ELT pipelines, and collaborate with data scientists and AI engineers to support data-driven applications and insights.

As a Data Engineer Associate, you will develop and maintain data pipelines, perform data analysis, support data solutions, and ensure data quality within the Asset Management Group.

The Data Engineer will design data models, build data warehouses and lakes, automate data pipelines, and enable data accessibility while maintaining security standards in a complex environment.

The Data Engineer II will build and optimize data pipelines, develop reusable data sets, and ensure data integrity and security.

Lead technical strategy and architectural evolution in marketing technology, mentoring teams and driving innovative solutions across data engineering and platforms.

As a Data Engineer, you'll transform raw data into refined offerings, collaborate with stakeholders, build central logic layers, and leverage AI tools for efficient data workflows.

The Senior Snowflake Data Engineer designs and optimizes Snowflake architecture and pipelines, ensuring data governance and performance across Marketing and Sales teams.

Expand and optimize data pipelines for cross-functional teams, support developers and analysts, implement process improvements, and build analytical tools for business insights.

The Distinguished Software Data Engineer role involves driving data architecture and engineering solutions, mentoring teams, and influencing technology adoption to enhance Capital One's data strategy.

The role involves driving data engineering innovation, mentoring, promoting modern technologies, and enhancing technical practices at Capital One. Distinguished Engineers will influence key stakeholders while building next-generation solutions and talent within the organization.

The Sr. Business Intelligence Data Engineer designs data pipelines, optimizes ETL processes, and ensures data integrity in a Databricks environment while collaborating with cross-functional teams.

As a Data Engineer at Ibotta, you'll manage data contracts, enhance AI readiness, ensure data governance, and improve data quality standards.

As a Data Engineer at Edmunds, you will architect and maintain data platforms for analytics and AI/ML, ensuring scalable, reliable data processing and supporting cross-functional collaboration.

The Principal Data Engineer will develop scalable data pipelines, manage data infrastructure across AWS, Databricks, and Snowflake, and enforce data quality and best practices.

The Senior Data Engineer will operationalize data governance by developing tools for data discovery, maintain data quality, and implement enterprise initiatives.

The Data Engineer will design and manage scalable data solutions, focusing on ETL pipelines, data quality, and integration for reliable analytics. They will collaborate with stakeholders to ensure data accuracy and compliance while resolving data issues and optimizing performance.

Lead the design and delivery of scalable data solutions, focusing on data architecture and digital transformations while mentoring engineers.

As a Data Engineer, you will build features and services, maintain cloud databases, collaborate with teams, and ensure data integrity.

Design, build, and maintain scalable data pipelines and API integrations; implement data quality monitoring and alerting; troubleshoot data issues; collaborate with business stakeholders; support CI/CD processes and scale architecture for future needs.

The Data Engineer Sr leads the development and implementation of data solutions across multiple applications, ensuring accuracy, scalability, and security, while consulting on data migration and preparation processes.

The Data Engineer will develop and implement ETL processes, design data architectures, work with data platforms, and ensure data solutions meet scalability and security needs. Responsibilities include mentoring junior engineers and collaborating with stakeholders to gather requirements and optimize data transformations.