Top Data Engineer Jobs
The Staff Data Engineer leads the technical development for The Movement Cooperative, architecting data pipelines, implementing software development best practices, and mentoring the engineering team. Responsibilities include designing systems, maintaining the data warehouse, and ensuring code quality and security, while collaborating closely with team members and external partners.
The Sr. Data Engineer at T-Mobile will design and develop data architectures across various platforms, mentor team members, optimize data storage systems, lead data quality assurance, and ensure compliance with data security regulations while managing complex data workflows and architecture improvements.
As a Senior Data Engineer, you'll collaborate closely with the Data Science team to leverage claims data for predictive modeling. Responsibilities include building and optimizing data pipelines, ensuring data health, and working independently to resolve complex issues. You'll also assist application developers with data extraction for machine learning models and identify reporting improvements.
The Senior Big Data Engineer is responsible for development and implementation of systems in a Risk and Finance team. The role involves conducting feasibility studies, managing development processes, providing user support, and ensuring compliance with standards. The candidate will work on data consolidation and implement advanced programming solutions while mentoring junior analysts.
As a Senior Data Engineer, you'll design and develop efficient ETL pipelines, ensure data security, create data models, and manage data flow using AWS services while collaborating with analysts and scientists to meet data requirements.
Collaborate with customers to understand data needs, develop and implement data systems, perform statistical analysis, and provide data visualizations. Requires Top Secret Clearance, Bachelor's degree in Computer Science, and 10 years of experience in AI, statistics, and data modeling.
As a Senior Data Engineer, you will design and implement solutions for data sharing and processing. You will improve data pipelines, ensure performance and monitoring, and develop self-service analytics capabilities while implementing best practices for data governance and security.
Seeking a highly experienced Senior Data Engineer to develop and maintain the data architecture of an AI-powered platform for clinical-stage biotech companies. Remote position with significant overlap with Los Angeles working hours.
Featured Jobs
The Senior Data Engineer/Tech Lead at The Hartford will be responsible for engineering and operationalizing a next-generation analytics solution suite using Oracle PL/SQL, Cloud (AWS), and Big Data Technologies. This role will involve creating, troubleshooting, and enhancing complex ETL processes, leading cloud environment operations, and providing technical consulting and leadership on data integration and distributed data systems.
As a Senior Data Engineer in the Global E-Commerce team, you will design and build data transformations, implement big data systems, and establish best engineering practices to enhance the data platform impacting core products and users.
As a Lead Data Engineer at Likewize, you will design and maintain a data platform that enables data-driven decision-making across the organization. Your responsibilities include leading data strategy, developing data pipelines, overseeing system performance, and collaborating with cross-functional teams to deliver actionable insights.
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.
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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.
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