Top Data Engineer Jobs

The Senior Data Engineer will collaborate with Agile teams to design and implement automated data lake solutions, centralize data from various sources, and manage data pipeline orchestration. The role involves working with Scala, Spark, SQL, and NoSQL to support company-wide analytics initiatives.

The Lead Data Engineer at NIKE USA is responsible for developing and testing systems and solutions, managing a team, overseeing design components, ensuring adherence to engineering standards, troubleshooting complex issues, mentoring engineers, and collaborating with product managers for innovative software solutions.

In this role, you will lead the development of AWS-based data pipelines and analytics, manage infrastructure-as-code, optimize databases, and support data-driven decisions across Dwolla's API platform, leveraging your skills in DataOps and cloud technologies.

As a Senior Data Engineer, you will design and optimize data infrastructure, collaborate with teams to ensure data flow across marketing technology platforms, and influence strategy and technical roadmaps. You will work on innovative projects using cutting-edge technologies.

As a Senior Data Engineer at Republic Services, you will work on designing and implementing data solutions that enhance operational efficiencies and support sustainability initiatives. Responsibilities include developing ETL processes, managing data pipelines, and fostering effective data management practices to support the company’s growth in the recycling and waste sector.

The Senior Data Engineer is responsible for developing, maintaining, and optimizing data pipelines and ETL processes. This role involves collaborating with data analysts and stakeholders to improve data accessibility and quality. The engineer will also work on cloud-based solutions and manage large datasets to enable data-driven decisions for the company.

The Senior Data Engineer will develop and optimize data pipelines, manage and analyze large datasets, and ensure data integrity. They will collaborate with cross-functional teams to provide insights and support data-driven decisions, leveraging cloud technologies and ETL processes.

As a Senior Data Engineer, you will be responsible for designing and implementing data solutions, managing ETL processes, and optimizing data warehousing strategies to support business analysis and reporting. You will collaborate with cross-functional teams to ensure data integrity and availability, leveraging Big Data technologies and AWS services to enhance data processing capabilities.

The Senior Data Engineer develops and manages data pipelines, ELT processes, and data storage solutions to ensure data quality and availability. They collaborate with teams to leverage data effectively for business outcomes and contribute to architectural and design decisions, mentoring junior team members while working on complex systems independently.

As a Senior Data Engineer, you will develop and maintain data pipelines using tools like Databricks and Airflow, write maintainable Python code, and design solutions with Kubernetes. You'll collaborate with Data Science teams to build scalable applications and manage data from diverse sources while ensuring effective communication across teams.

As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.

As a Staff Data Engineer, you will lead the design of master data platforms, architect data models and processing solutions, and build end-to-end analytical solutions with a focus on scalability and performance. Responsibilities include developing data pipelines, collaborating with business leaders, and mentoring teams on complex data projects.

The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.

The Lead Data Engineer will oversee the design and construction of data pipelines, mentor a team of Data Engineers, enhance existing software programs, lead the adoption of new technologies, and ensure effective data solutions aligned with the firm's strategic goals.

The Senior Data Engineer at Cypris will design, build, and maintain scalable data pipelines and systems. Responsibilities include optimizing data performance, implementing ETL processes, collaborating with teams for data solutions, and ensuring data security. The role focuses on enhancing data capabilities in an AI-powered research tool for global innovation data.

As a Senior Data Engineer, you will design and implement scalable ETL tools and data services, optimizing data systems and pipelines. Collaborate with analysts and product owners to deliver data technology solutions, enhance CI/CD pipelines, and ensure data quality across various stages. You will document processes and provide technical support for data integration and management.

As a Senior Data Engineer, you'll design, build, and maintain scalable data pipelines in cloud infrastructure, collaborating with teams for data analytics and machine learning projects. Your role includes developing ETL pipelines, optimizing SQL performance, and working with both relational and NoSQL databases.