Top Senior Level Data Engineer Jobs in Atlanta, GA

The Data and Reporting Lead generates and analyzes reports for value-based payment models, integrates data from multiple sources, and collaborates on model performance and improvements. Responsibilities include creating scorecards and financial analyses, ensuring data integrity, and troubleshooting issues to enhance the effectiveness of VBP programs.

As a Staff Machine Learning Engineer at Fakespot, you will leverage AI and machine learning techniques to analyze unstructured data, develop and optimize models for tasks like entity recognition and text generation, and collaborate with cross-functional teams. You'll also monitor and refine models for performance, ensuring the delivery of trustworthy tools to enhance eCommerce transparency.

The Senior Data Engineer will design, build, and maintain scalable data pipelines and analytics solutions. Responsibilities include collaborating with stakeholders, optimizing Spark jobs, implementing CI/CD pipelines, and improving data quality while mentoring junior team members.

The Senior Data Engineer at Coinbase will build and maintain data pipelines, create reliable data sources, and develop tools for data science productivity, ensuring data quality and enabling self-serve analytics. Responsibilities include designing ETL processes, collaborating with cross-functional teams, and enhancing data transformation and quality tooling.

As a Senior Analytics Engineer, you will support decision-making by creating data models, improving telemetry collection, and building data quality tests. You will work closely with subject matter experts and lead the development of analytical tools in a cross-functional team environment.

The AI Data Leader will develop and implement an AI and data strategy, oversee innovation in AI technologies, collaborate with teams to implement solutions, build a high-performing team, drive data management and governance, supervise AI development, and ensure compliance with regulations.

The IT Data Analytics and Reporting Architect is responsible for designing data solutions that meet business requirements, focusing on BI Data Analytics tools like Snowflake, Matillion, and ETL processes. Responsibilities include overseeing project implementation, providing best practices knowledge, mentoring team members, and configuring ETL integration processes.