Top Data Engineer Jobs in Atlanta, GA

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

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

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.

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.

The Senior Data Engineer designs and maintains data systems, develops data pipelines for ingestion and analysis, and optimizes data architecture to support business needs.

As a Data Engineer, you will build and maintain data pipelines, support AI capabilities, and establish best practices for data engineering. You'll work on data ingestion, management, and automation for a scalable data platform.

The Principal Data Modeler will design and manage data models for the Marketing Data Warehouse to support data-driven marketing decisions and optimize data architecture.

As a Senior Data Engineer, you will design and develop data pipelines, ensure data quality, and collaborate on advanced analytics projects within the Applied Research team at Cox Automotive.

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

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

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.

The Senior Data Engineer processes structured and unstructured data, validates quality, develops data products, and provides guidance. Responsibilities include data processing, quality assurance, Agile planning, product development, and supporting deployed applications while monitoring emerging technologies.

The Associate Data Engineer will participate in a training program focusing on data solutions, helping enterprises with data projects post-training. Responsibilities include effective communication, teamwork, problem-solving, and resourcefulness.

As a Data Engineer, you will build and maintain data pipelines, ensure data reliability, collaborate with teams, and drive improvements in data platforms while supporting analytics and decision-making.

As a Data Engineer I, you will build and operationalize complex data solutions, analyze data sources, and support data governance and quality initiatives.

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.

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'll construct pipelines, design data solutions, analyze complex data sources, and ensure data quality for analytics and AI applications.

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

As a Data Engineer, you will optimize data platforms using Microsoft technologies, support clients in data challenges, and implement data solutions.

As a Data Engineer, you'll build data solutions, analyze sources, support data governance, and educate end users on data products.

Responsible for leading data engineering efforts, optimizing ETL processes, and ensuring data quality while collaborating with cross-functional teams to support business intelligence and analytics.

The Lead Data Engineer will oversee scalable data engineering projects, drive data quality, and support analytics across teams, ensuring actionable insights for business growth.

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 role involves supporting cloud data platforms, assisting with BI delivery, contributing to CI/CD workflows, and enhancing platform operations.