Top Data & Analytics Jobs

Design, develop, and maintain data pipelines and analytic solutions for supplier quality data, ensuring high performance and compliance with data standards.

The Senior Supply Chain Master Data Engineer is responsible for maintaining the accuracy of supply chain data, implementing data governance, data audits, and collaborating with teams to improve data quality for analytics and reporting.

As a Data Developer IV, you'll implement data services and solutions, troubleshoot failures, and collaborate with stakeholders on data architecture.

The Data Integration Engineer will build and support data integrations, ensure timely and validated data delivery, and troubleshoot issues in a fast-paced environment.

As a Data Engineer Intern, you will define metrics, model and transform data, ensure data quality, and support data strategy. You'll collaborate with product teams and work on various data engineering tasks to improve product experience and efficiency.

Develop and optimize AI models and algorithms while engineering data solutions in a collaborative environment to improve healthcare outcomes.

Design and optimize data pipelines for integration and analysis, ensuring data quality while collaborating with a cross-functional scrum team.

As a Data Engineering Intern, you will contribute to data products, manage automation tools, help develop Infrastructure as Code, and optimize and support data processes while collaborating with the engineering team.

As a Data Engineer, you will design, develop, and enhance data solutions within an Agile team, focusing on cloud data warehousing and innovative data-driven solutions for Small Commercial.

As a Data Engineer, you will collaborate in an agile team to develop and enhance cloud data warehouse solutions, analyzing complex systems and delivering rapid data solutions for regulatory reporting.

The Data Engineer III will design and implement AI-driven solutions, develop ontologies, lead projects, and mentor team members.

The Data Engineer II will design and build scalable data platforms, manage data pipelines, and ensure data quality while mentoring the team.

The internship involves designing tools and frameworks using Python and SQL, analyzing data, and collaborating with data scientists. Interns will receive mentorship and corporate training.

The Data Engineer Co-op will work on web data feeds, utilize AI technologies and frameworks, and develop data pipelines.

The Python-ETL Data Developer will assist in onboarding client data into MySQL, support Snowflake offerings, and improve documentation. Key skills include Python and database experience.

The Data Engineer will architect and deploy Big Data environments, manage data pipelines, and ensure data integrity across the organization.

As a Lead Data Engineer at Capital One, you'll collaborate with Agile teams, develop technical solutions, and utilize various programming and big data technologies to drive transformation in the company.

Design and build scalable data solutions, develop real-time data pipelines, maintain ETL processes, and promote effective development methodologies.

As a Snowflake Data Engineer, you'll design, build, and maintain data infrastructure using Snowflake, focusing on governance, quality, and performance optimization. You'll collaborate with stakeholders to operationalize data use cases and implement key data strategies.

As a Data Engineer, you will design and build data pipelines, ensuring data accuracy and developing data solutions that meet business requirements.

As a Data Engineer Intern, you'll design data pipelines, support scalable infrastructure, collaborate with teams, and contribute to analytics models while learning data engineering best practices.

As a Data Engineer III, you will develop data solutions, lead projects, mentor peers, and ensure efficient data pipelines within cloud architectures.

The Senior Data Engineer will build and optimize data pipelines, ensure data integrity, and collaborate with stakeholders to meet business requirements while implementing best coding practices.

This co-op position involves developing data products, design and testing of data pipelines, and delivering insights from complex datasets for business decisions.

This co-op position involves developing data products and solving complex data problems using cloud technologies, SQL, and programming languages while gaining mentorship and business exposure.