Top Hybrid Data Engineering Jobs

As a Data Analytics Engineer, you'll design clean datasets in Snowflake for AI tooling, ensuring teams access reliable data for decision-making.

The Data Engineer will develop and maintain data pipelines and frameworks, leveraging AI tools, while ensuring compliance and operational excellence across data platforms.

As a Senior Lead Data Engineer, you'll lead development teams, design technical solutions, utilize big data and cloud technologies, and drive transformation initiatives.

The Principal Associate will define business solutions, translate requirements into technical deliverables, and support the Agile implementation of cloud-based treasury applications, ensuring data integrity and system efficiency.

Lead the design and implementation of technical solutions using big data technologies. Collaborate with teams to deliver cloud-based data solutions and support Agile practices.

The Solutions Engineer, Data role involves developing data solutions aligned with business goals, improving data quality, and leading technology strategies while collaborating with various teams.

As a Data Architect, you will lead data and ML platform engagements, ensuring quality delivery, architecture design across cloud platforms, and managing client relationships.

As a Data Architect at RapidScale, you'll lead data platform engagements, ensuring delivery quality, managing teams, and designing cloud architectures while supporting ML implementations and client interactions.

As a Data Architect, you will lead end-to-end data and ML platform engagements, manage delivery teams, design cloud architectures, and support presales activities.

As a Staff Analytics Engineer, you'll lead analytics architecture, ensure data quality, collaborate with stakeholders, and drive AI-powered data insights for business decision-making.

This role involves leading data architecture strategies, collaborating with stakeholders, and implementing advanced data technologies to drive business growth at PwC.

Lead analytics initiatives for cost optimization at GM by building data pipelines, performing exploratory data analysis, and developing predictive models. Collaborate with cross-functional teams to design data architectures, analyze data quality, and provide actionable insights to enhance profitability and performance.

The Lead Data Migration Specialist will enhance data processes for client onboarding using Excel, SQL, and AI, ensuring accuracy and efficiency.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.