Top Data Engineer Jobs

The Senior Data Engineer at TCGplayer will work with the Data Engineering team to enhance the organization's use of datastore technologies. Responsibilities include guiding datastore technology selection, optimizing database design, writing code for data management, supporting data flow strategies, troubleshooting and improving database designs, and providing leadership on datastore-related projects.

The Staff Data Engineer will design, develop, and maintain data architecture and standards for Data Integration & Data Warehousing projects in BigQuery. They will develop data solutions, document data flows, aid in data governance, and mentor other engineers to improve healthcare data visibility and processes.

As a Senior Data Engineer, you will develop and maintain scalable data pipelines, enhance data models, and provide expertise in data pipelines on Azure, Databricks, and Confluent. Responsibilities include creating best practices, reusable code, and frameworks for cloud data warehousing, and enabling data accessibility across the organization.

As a Lead Data Engineer, you'll design and maintain data lakes and warehouses, develop data management processes, implement data security and governance measures, and ensure high data quality. You'll collaborate with engineers, apply Agile methodologies, and oversee the complete lifecycle of complex data systems.

The Sr. Data Engineer will design and develop scalable data analytical solutions, create distributed data processing pipelines, mentor junior engineers, and collaborate with various teams to enhance customer experience through Nordstrom's analytical platform.

The Senior Data Engineer will design, implement, and maintain data architecture and pipelines, focusing on scalable data workflows and advanced analytics integration. Responsibilities include optimizing data workflows for performance, ensuring data quality, implementing data security measures, mentoring junior staff, and collaborating with cross-functional teams to meet business needs.

The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.

The Senior Data Engineer will build and maintain robust data infrastructure, optimize data pipelines, and enhance data visualization capabilities while collaborating with stakeholders and ensuring system reliability through monitoring and testing.

As a Senior Data Engineer at Zencore, you will leverage Databricks to assist clients with data application modernization and cloud migration, driving transformation by acting as a trusted advisor on various topics including ETL, data modeling, security, and governance. You will develop production-ready Spark applications, utilize the Databricks tech stack, and implement data pipeline best practices.

The Staff Data Engineer will focus on big data engineering, data wrangling, and analysis, emphasizing building data pipelines and implementing IT solutions in the healthcare sector. Collaborating with data engineers, analysts, and scientists, the role involves creating scalable and efficient software architectures while utilizing modern tools like Databricks and AWS services.

The Senior Data Engineer at GoodLeap will implement data integrations, design and develop projects, and ensure data quality and availability. They will mentor team members, participate in data design discussions, and utilize modern data warehousing and analytics technologies, while promoting agile and DevOps principles.

The Senior Data Engineer at Bluesight will build and maintain robust data architectures and infrastructure, develop data governance practices, support data products, and collaborate with engineering and external customers to enhance medication workflows. The role involves using various data orchestration tools and programming languages, while ensuring effective communication about data implementations across teams.

The Lead Data Engineer at Pendulum will be responsible for developing and optimizing data infrastructure, building and maintaining ETL pipelines, managing data warehouses, ensuring data quality, collaborating with Data Science teams, and implementing monitoring solutions for data systems.

As a Senior Data Engineer at Bluesight, you will design and maintain robust data architectures, facilitate effective data stewardship, and develop customer-facing data products. You'll work closely with engineering teams, product owners, and external clients to create and enhance data pipelines and governance practices, ensuring optimal purchasing decisions for hospital buyers.

As a Lead Data Engineer at Windfall, you will develop and optimize data pipelines for large datasets, collaborate with data science teams to implement machine learning models, and create data services for monitoring. Your role is pivotal in building the core data asset of the organization, emphasizing strong communication and collaboration skills.

As a Sr. Data Engineer, you will design and build data pipelines for massive datasets, collaborate with data science teams, and construct supporting applications for data orchestration and monitoring.

Join a team of data engineers at Egen, a data engineering and cloud modernization firm, to build scalable data platforms and fault-tolerant pipelines using Python, SQL, Linux, Bash, and cloud services. Responsibilities include leading data engineering teams, designing data pipelines, consulting with teams, preparing documentation, and facilitating data migrations. Requires a Bachelor's degree in a related field, experience with EDA leveraging Kafka, data warehousing knowledge, and strong programming skills in SQL, Python, and Bash.