Top Data Engineer Jobs

The Data Migration Architect is responsible for assessing and planning the data center migration process, collaborating with stakeholders, developing migration plans, ensuring compliance with regulations, mitigating risks, and providing technical guidance during and after the migration. The role requires excellent problem-solving skills and the ability to work independently to manage complex migration activities.

The Principal Data Engineer will lead a Data Engineering team responsible for developing and implementing data solutions to enhance the company's data capabilities. This role includes designing and documenting software solutions, mentoring team members, and improving existing systems for increased efficiency and performance.

As a Staff Data Engineer, you'll design and deploy enhancements to data infrastructure, automate workflows, develop ETL processes, and monitor data systems. You'll leverage various technologies to ensure efficient data handling within a scalable environment that addresses complex challenges.

As an Analytics Engineer I, you will manage the data pipeline between raw data systems and financial data users, partner with Finance to create Certified Datasets, automate processes through programming, validate data structures with Engineering, and ensure data quality.

The Senior Data Analytics Developer at Avetta will transform raw data into insights, model and enhance data pipelines, design dashboards, and communicate findings effectively. The role requires collaboration with product teams and stakeholders to deliver strategic analytics solutions and manage project execution in an agile environment.

As a Senior Data Engineer, you will develop and maintain Underdog’s reporting layer using DBT and BigQuery, collaborating with cross-functional teams to design scalable reporting models. You will ensure data integrity, maintain documentation, assist in analytics dataset development, and manage tasks using Jira while looking for continuous improvements.

The Senior Data Engineer will design, implement, and optimize scalable data analytics infrastructure. Key responsibilities include developing data pipelines, maintaining data quality, supporting analytics through modeling, creating dashboards, and collaborating with various teams to enhance data-driven decision-making processes.