Top Data & Analytics Jobs

The Data Engineer will develop data solutions, manage data pipelines, ensure data quality and adherence to governance, and work with cross-functional teams to optimize analytics in healthcare.

The role involves owning the data infrastructure and pipeline, building robust data pipelines, managing Snowflake and dbt, and delivering analytics and dashboards.

Develop scalable data pipelines, deliver projects, and implement enhancements across data platforms using AWS and various tools, following agile methodologies.

The Data Engineer designs and manages data pipelines for lead generation, collaborates with Sales, analyzes metrics, and ensures data quality and integrity.

The Data Engineer II will optimize, support, and deploy SQL Server environments in cloud settings, enhance data platforms, mentor junior engineers, and collaborate across teams.

As a Data Developer, you will create scalable ETL processes, design data warehouses, and develop dashboards using BI tools. Responsibilities include optimizing data quality and ensuring security measures for sensitive information.

The Senior Data Engineer will maintain and improve data pipelines, ensure data integrity, and work with cloud data platforms, focusing on performance and data governance.

The Mid-Level Engineer will design, build, and maintain data pipelines on Azure, ensuring data quality and collaboration with business partners for effective analytics and reporting solutions.

Design, build, and maintain data infrastructure, client integrations, and data models to support analytics and AI at Trovo Health.

Build and maintain scalable data, model training, and inference pipelines for large multimodal 3D/4D microscopy datasets; implement multi-node GPU training/inference, ensure data provenance and quality, collaborate with scientists, document workflows, and support model deployment and public data release.

Design and maintain data pipelines and cloud-based platforms for analytics and machine learning workloads, collaborating with AI/ML engineers and ensuring data quality and governance.

The Data Engineer will build and maintain data models for reporting, automate workflows, and develop AI-powered tools to enhance organizational efficiency.

The Data Engineer III will design and implement scalable data pipelines, ensuring data quality and integrity, while mentoring junior engineers and collaborating on data solutions across an academic healthcare environment.

The role involves architecting cloud solutions, designing data pipelines, and ensuring data governance with a focus on performance and security. The engineer provides mentorship and collaborates on complex projects, utilizing Python and SQL.

The Senior Cloud Data Engineer will design, build, and maintain scalable data pipelines while collaborating with teams to translate business needs into technical solutions, ensuring high-quality data architecture and continuous improvement in a consulting environment.

Design and implement data engineering solutions using Google Cloud Platform, focusing on data ingestion, processing, storage, and governance while collaborating with stakeholders to meet business objectives.

As a Data Engineer, you will operationalize data pipelines, support ML tasks, and provide expertise in data engineering and security architecture. You'll work with AI teams and present findings to diverse audiences.

The Data Engineer will implement data structures and workflows, manage data pipelines, ensure data integrity, support analytics, and adhere to HIPAA regulations.

Lead the design and operation of Twilio's ML and data platform, architecting cloud-native pipelines and implementing MLOps best practices while mentoring engineers and collaborating across teams.

Design, build, and maintain data pipelines and infrastructure for machine learning and analytics. Collaborate with teams to support data quality and reporting.

The Data Engineer will design, build, and scale data infrastructures, manage data workflows, optimize performance, and mentor junior engineers. Responsibilities include driving technical efforts, ensuring reliability, and documentation.

The Principal Data Modeler will design and manage data models for the Marketing Data Warehouse to support data-driven marketing decisions and optimize data architecture.

The Data Engineer is responsible for designing and implementing methods to improve data quality and reliability, and developing pipelines for data extraction, transformation, and analyzing to support business intelligence tools.

The Data Engineer III is responsible for designing and implementing BI solutions, managing data governance activities, and collaborating on data quality initiatives while ensuring stakeholder satisfaction.

The Data Solutions Engineer at AcuityMD will drive business results by engaging with customers on data products, showcasing their value, and addressing data-related challenges during the sales process.