Top Data Engineer Jobs in Atlanta, GA

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

The Data Engineer designs, builds, and maintains data systems, develops data products, and ensures efficient data processing for decision making.

The role involves embedding with teams to drive data product onboarding, developing solutions, and enabling clients to self-serve data products with a focus on AI-assisted development and platform evolution.

As a Data Engineer, you will develop and deploy data pipelines and platforms, supporting clients' data analysis needs across various projects, focusing on advancements in AI, IoT, and technology solutions.

The Data Engineer will build and operationalize data solutions, design complex data systems, collaborate across teams, and ensure high-quality data management.

Design, build, and operate GTM data pipelines, a unified data lake, and enrichment workflows using cloud data infra, LLMs, and orchestration tools to enable segmentation, ICP scoring, and revenue analytics.

The Data Analytics Engineer will develop data models, perform data wrangling, and create dashboards to drive insights for business decisions at Bose Corporation.

The Data Engineer will develop cloud-based data pipelines, collaborate with clients on data architecture, and utilize engineering best practices to provide effective data solutions.

The Data Engineer will build and operationalize data solutions, analyze data sources, ensure data governance and quality, and support analytics across teams.

The Data Engineer is responsible for developing data infrastructure, building data pipelines, managing data quality, and integrating analytics tools to support design and project operations.

Lead the design and migration of a data platform architecture. Manage data pipelines, mentor teams, and ensure platform reliability.

Operate and support critical data pipelines and infrastructure, troubleshoot production data issues, perform root cause analysis, implement automation and monitoring, own incident management and on-call rotation, and create support documentation to ensure reliable, timely, and consumable data for stakeholders.

As a Data Engineer II (Tech Lead), you will design and build complex data solutions, optimize data transformation processes, and collaborate with teams to enhance analytical capabilities across the organization.

As a Senior Data Engineer, you will design, develop, and improve data pipelines and integrations for pricing and promotions, ensuring data quality and reliability while contributing to feature design and team guidance.

The Lead Data Engineer will design and implement data solutions for imagery models, lead engineering efforts, collaborate with stakeholders, and ensure data quality and governance while optimizing data pipelines.

Manage daily operations of data products, support Cloudera Data Platform installations, optimize deployments, and mentor junior team members while ensuring data security and compliance.

The role involves developing analytics solutions, dashboards, and predictive models to enhance product quality and compliance in a global quality system.

The Data Engineer will develop scalable data pipelines, design lake house models, optimize Power BI performance, and ensure client satisfaction through technical support and efficiency improvements.

The Lead Data Engineer will design, develop, and maintain ETL pipelines, ensuring effective data extraction, transformation, and loading from various sources, while collaborating with stakeholders and solving complex business issues.

Seeking an ETL Engineer to design and maintain ETL pipelines, troubleshoot issues, and contribute to the data engineering team, working with various data sources and ensuring compliance with financial regulations.

Design and maintain scalable data pipelines, ensure data quality, and collaborate across teams to support data needs and governance. Lead technology evaluation and implement data solutions.

Develops and maintains data pipelines, designs ETL processes, creates scalable APIs, performs data analysis, and collaborates on engineering projects.

This role involves designing data pipelines, collaborating with teams, ensuring data quality, mentoring junior engineers, and managing data governance processes.