Top Data & Analytics Jobs

Design, implement, and maintain data pipelines on cloud platforms, provide technical leadership, and ensure solutions align with customer needs.

As a Senior Data Engineer, you will design and implement data pipelines, provide technical leadership, and collaborate with stakeholders to deliver data engineering solutions using cloud technologies.

The Senior Data Engineer will design, implement, and maintain cloud-based data pipelines, providing technical leadership and ensuring systems meet business requirements while staying current with technology trends.

As a Senior Data Engineer, you'll design and implement data pipelines on cloud platforms, collaborate with clients, and provide technical leadership while using ETL technologies and various database systems.

The role involves designing and implementing data pipelines, advising clients on data engineering solutions, and mentoring engineers in a collaborative environment.

Design and implement advanced data systems and pipelines using cloud technologies. Provide technical leadership and collaborate with clients to meet their data engineering needs.

The Senior Data Engineer designs and implements data pipelines and cloud solutions while providing technical leadership and supporting client needs in data engineering.

Design and maintain data pipelines, provide technical leadership, and collaborate with teams to deliver cloud-based data solutions for clients.

Design, implement, and maintain data pipelines on cloud platforms, using ETL technologies. Provide technical leadership and collaborate across teams.

The Senior Data Engineer will design and maintain data pipelines, provide technical leadership, and work with cloud platforms like AWS, Azure, and GCP.

Design and maintain data pipelines using cloud technologies. Provide technical leadership, implement data engineering solutions, and mentor engineers. Collaborate with stakeholders and stay updated on cloud advancements.

The Senior Data Engineer will design and maintain data pipelines, provide technical leadership, collaborate with teams, and ensure optimal solutions using cloud technologies.

Design and scale data infrastructure, ensure data quality and governance, collaborate with teams on data products, and modernize practices.

The Data Engineer will design and maintain scalable data pipelines, integrate APIs, support ML teams, and optimize data systems for performance and reliability.

Lead design, build, and optimization of Sezzle's large-scale data warehousing and pipelines. Own data infrastructure KPIs/SLAs, improve Redshift performance, evolve the data stack, implement ETL/ELT workflows, and partner with cross-functional teams to deliver reliable, scalable datasets.

Design and maintain data systems for business-critical insights, connect data across platforms, build ETLs, and support business data decisions.

Design and implement enterprise visualizations and augmented-analytics capabilities (AI/ML, NLQ, NLG). Lead BI modernization, governance, self-service enablement, Analytics User Communities, and the Analytics Service Catalog. Mentor teams, drive adoption, ensure platform reliability, and align visualization standards with cloud and data architecture.

Design and develop reports and dashboards (Tableau, Power BI, Looker, D3) by partnering with stakeholders. Use SQL to explore and import data, create prototypes, ensure data accuracy through quality checks, optimize BI deliverables, document and train end users, and promote best practices in data visualization and UX.

The Data Integration & Pipeline Engineer will build and maintain ETL/ELT pipelines, ensuring efficient data flow, quality, and performance across platforms.

The role involves creating advanced Tableau dashboards, performing data analysis, and communicating insights for strategic decision-making.

The Data Engineer will build and maintain data pipelines, ensure metric definitions, and collaborate with teams to deliver quality data products.

The Senior Data Analytics Engineer will develop data pipelines, support data-driven decision-making, collaborate with stakeholders, and improve data quality and processes.

The Data Engineer builds and maintains data infrastructure, develops data pipelines, ensures data quality, and collaborates with teams for insights.

The AI-Native Data Platform Engineer will design data foundations for AI systems in wealth management, architecting data pipelines, models, and frameworks to enable autonomous financial agents.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, focusing on architecture, ingestion, storage, and analytics on GCP. You'll collaborate with stakeholders and optimize data structures for performance while ensuring adherence to data governance and compliance standards.