Top Data & Analytics Jobs

The Sr. Data Engineer will design and optimize data models, manage databases, and support clients using Python, SQL, Alteryx, and Tableau.

As a Staff Data Engineer, lead full-stack development of scoring services and APIs, employing machine learning technologies while mentoring team members and ensuring robust solutions.

The Staff Data Engineer will lead projects in full-stack development, including real-time scoring services and machine learning technologies, drive innovation, and mentor team members while building secure and scalable solutions.

The Senior Data Engineer will develop and maintain scalable data pipelines, ensure quality standards, improve engineering practices, and engage with data teams to optimize operations.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

The Senior Data Engineer designs data architectures, optimizes data pipelines, gathers requirements, ensures data integrity, and provides analytics solutions for stakeholders.

The Data Solution Engineer will develop cloud-based data solutions, oversee development teams, and provide technical expertise in data security and architecture.

As a Senior Data Engineer, you'll design and maintain ETL pipelines, ensuring data accuracy and supporting analytics across the organization.

The Senior Data Engineer will design and maintain scalable data systems, implement data pipelines, mentor engineers, and enhance reporting platforms.

Design and develop data solutions, maintain databases, enhance data quality, mentor junior engineers, and lead data process improvements.

The Sr. Data Engineer will architect and build an end-to-end data platform, developing data pipelines and infrastructure for AI and robotics teams, ensuring data integrity and governance, and collaborating on ML model development.

Lead design and implementation of scalable multimodal data pipelines, active learning and labeling loops, training and inference engineering, and model serving/optimization. Focus on data cleaning, OCR/layout normalization, sample construction, observability, and cost-efficient multi-model routing.

Design, build, and maintain scalable data pipelines and platform tools; define canonical data models; deploy and operate workflow managers (Airflow/Jenkins); work with cloud data tools (Redshift, EMR) and infra (Kubernetes, Terraform); implement data security controls; mentor junior engineers and collaborate with data scientists, analysts, and product teams.

The Senior Data Engineer will lead the design and migration of an enterprise data platform to AWS and Snowflake, ensuring high-quality data pipelines and collaboration across teams to meet business requirements.

The Senior Data Engineer will build scalable data pipelines, optimize Snowflake data warehouses, and enable reporting via Power BI while collaborating with stakeholders.

As a Senior Data & Analytics Engineer, you'll lead data initiatives, manage a team, and ensure data quality while turning insights into actionable decisions across the company.

The Senior Data Engineer is responsible for designing, implementing, and optimizing data ingestion pipelines and database schemas, ensuring efficient integration and performance of operational data services.

As a Senior Data Engineer, you will build and optimize data pipelines, integrate AI capabilities, and collaborate across teams to create data-driven solutions, while providing technical leadership and ensuring data quality and governance.

As a Lead Data Engineer, you'll architect data pipelines for IoT telemetry, develop AI solutions, enforce data governance, and mentor team members.

As a Senior Data Engineer, you will build and maintain data infrastructure, enabling product teams with data-driven insights and solutions.

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'll build and maintain reliable data ingestion pipelines, ensure data quality and performance, and oversee data readiness for features, using technologies like ClickHouse and Rails.

The Lead Data Engineer will manage U.S. Data Strategy capabilities, translating business objectives into cloud data solutions, while ensuring scalability and security. This includes ETL, analytics, and technical leadership in a hybrid work environment.

The Lead Data Engineer manages large-scale data platforms and analytics environments, providing technical leadership, optimizing data solutions, and mentoring teams.