Top Data & Analytics Jobs

As the Senior Data Engineer for Enrichment, you'll design data pipelines, maintain contact datasets, ensure data quality, and optimize vendor relationships while working with a talented team.

As a Senior Data Engineer, you will design and operate data transformation pipelines, workflows, and AI-assisted data visualization tools, collaborating with an experienced team.

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.

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

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 data systems for Aircapture, focusing on building data pipelines and making architectural decisions to support climate technology.

The Developer, Data and Integration maintains and develops scalable integration solutions focusing on B2B/EDI transactions, working with business units to translate data needs into technical solutions, and ensures the reliability and performance of data flows.

The Senior Data Engineer will design and optimize data pipelines from SAP to Databricks, focusing on CDC and stream processing. Responsibilities include managing Kafka components, CI/CD pipelines, and ensuring data quality while collaborating with various teams.

The Data Scientist/Sustainment Engineer will analyze data, build machine learning models, support operational tasks, and manage data visualization while collaborating with cross-functional teams.

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

The Senior Data Engineer will design and maintain data pipelines, manage a Snowflake environment, establish data quality, and lead data initiatives across teams, influencing company-wide technology decisions.

The Staff Data Engineer will lead the architecture and scalability of H1's healthcare data processing systems, ensuring efficient entity resolution and big data operations. Responsibilities include design and optimization of distributed Spark pipelines, team leadership, and collaboration with AI/ML teams to enhance data processing capabilities.

As a Staff Data Engineer on the Data Lake team, you will architect, build, and scale distributed ETL pipelines, ensuring data quality and leading the engineering team. You will also drive large-scale data processing and technical initiative leadership.

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.

Lead Data Engineer responsible for defining architecture, engineering standards, and best practices for the enterprise data platform, collaborating with distributed teams for modernization and scalability.

The role involves designing and optimizing data pipelines in ClickHouse, ensuring reliability, monitoring performance, and coaching teams on best practices across data operations.

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

The Senior Data Engineer will design and develop scalable data architectures, manage ETL processes, optimize databases, and implement MLOps pipelines, promoting data-driven decision-making across the organization.

As a Senior Data Engineer, you will design AI-optimized data platforms, build data pipelines, and collaborate on analytics projects, while advising clients on data architecture.

Senior Data Engineers design and maintain data pipelines, leveraging cloud technologies to process large datasets and support data-driven decisions.

Design and implement modern data pipelines using cloud technologies. Lead and collaborate with teams, ensuring solutions meet customer needs while mentoring engineers.

The Senior Data Engineer will design, implement, and maintain data pipelines using cloud technologies, provide technical leadership, and advise clients on data engineering solutions.

As a Senior Data Engineer, you'll design and implement data pipelines using cloud technologies, ensuring optimal solutions for data management. You'll collaborate with stakeholders to meet technical needs and stay updated on industry trends.

The Senior Data Engineer designs and maintains data pipelines, ensuring optimal cloud technology solutions while providing technical leadership and support to teams.