Top Data Engineer Jobs

As a Senior Data Engineer, you will build scalable data handling systems, design and maintain data pipelines, and implement internal process improvements to enhance data access and quality across the company. You will also work on real-time data processing and collaborate to create machine learning pipelines.

Design and implement data products and features, collaborating with product owners and data analysts. Responsibilities include building data pipelines, evaluating technologies, ensuring data quality, and applying best engineering practices in a global context for NIKE technology. Utilize continuous integration frameworks and troubleshoot data issues as required.

The Senior Data Engineer will work on building and maintaining scalable ETL pipelines, design automation frameworks, engage in data pipeline development, and mentor junior members. The role focuses on leveraging advanced machine learning to optimize data utilization and capacity management for Salesforce's infrastructure.

As a Sr. Data Engineer, you will develop data infrastructure and pipelines, ensuring data is organized, centralized, and readily accessible. You'll support database planning, analyze new data sources, maintain data structures, and deliver user interfaces for further analysis.

As a Lead Data Engineer at Stellic, you will design scalable architectures, build data pipelines, mentor teams, and drive alignment on engineering priorities while ensuring high-quality implementations.

The Senior Data Developer will design and build a data and reporting ecosystem for the CRO organization. Responsibilities include developing BI dashboards, creating ETL pipelines, enhancing data models, and ensuring data quality. The role requires collaboration with stakeholders to deliver business requirements and support data analytics initiatives.

Seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering to shape data architecture and pipelines for a fast-paced, data-driven environment. Responsibilities include leading the design and implementation of innovative data solutions, collaborating with cross-functional teams, and working on industries such as Oil & Gas, Titles & Leases, or Financial Services.

The Senior Data Engineer at onX is responsible for creating and maintaining the data ecosystem to enhance data discoverability. Responsibilities include designing scalable data pipelines using GCP services, developing data models, optimizing data processing for performance, ensuring data quality and security, and collaborating with cross-functional teams for effective data solutions.

As a Junior Data Engineer, you will build and support data migration staging environments and warehouses, assist with business and regulatory reporting, profile downstream data for anomalies, collaborate with QA to develop test cases, and create reporting scripts while reviewing peer work.

The Data Engineer will collaborate with customers to understand their data management strategies, implement and optimize data solutions, design data architectures, and contribute to advanced analytics and machine learning implementations using AWS and IBM services. The role includes driving innovation and documenting data flows.

The Senior Data Engineer will lead the development and maintenance of data services and solutions for BEES. Responsibilities include designing data models, improving system architecture, developing data processing pipelines, and creating data products to meet operational needs. The role also involves monitoring and ensuring the accuracy of data quality processes.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, develop data warehouse architecture, and enable advanced analytics across the organization. You will collaborate closely with software engineers to ensure data quality, create data models, implement data governance, and develop data visualization tools, all while mentoring team members and establishing best practices.

The Senior Big Data Engineer will lead the modernization of Master Data Management systems, designing and building data solutions across various platforms. Responsibilities include collaborating with cross-functional teams to implement data engineering services, maintaining data quality, and optimizing cloud and big data environments for operational and analytic applications.

The Senior Data Engineer will lead the design and optimization of data infrastructure and pipelines, provide mentorship to junior engineers, and collaborate with teams to enhance data models for BI and analytics. Responsibilities include translating business needs into scalable solutions, optimizing performance, and enforcing data quality standards.

The Senior Data Engineer will design, build, and maintain ETL pipelines to manage data operations efficiently. Responsibilities include ensuring secure data handling, leveraging cloud systems, and using tools such as SQL, Python, and Spark, while collaborating in an agile environment to meet business requirements.

As a Lead Data Engineer at Nuna, you will help build scalable data engineering solutions and expand the architecture of a Data Platform. You will work closely with interdisciplinary teams to enhance workflows and improve healthcare products, while also establishing best practices in data engineering and mentorship.

As a Senior Data Engineer, you will implement technology strategies, develop scalable data pipelines, build API integrations, and ensure data quality for critical stakeholders. You will also influence the engineering team through code reviews and design sessions and contribute to architectural patterns for data access.