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 Data Engineer role involves developing and maintaining data pipelines for forecasting in commercial real estate, ensuring data integrity and supporting analytics teams.

The Principal Data Engineer leads the development of scalable data solutions, collaborates on product roadmaps, influences organizational change, and coaches junior staff in a hybrid work environment.

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.

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.

As a Data Engineer I, you will design, build, and maintain data systems and pipelines for analytics, requiring technical skills in programming and data architecture.

As a Data Engineer, you'll deliver scalable data solutions, participate in technical discussions, and ensure timely, trustworthy data delivery through robust pipelines.

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

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 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.

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.

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 Lead Data Engineer, you will architect data foundations for AI applications, lead a team, optimize data pipelines, and ensure data governance.

The Senior Data Engineer will lead the development of data warehouse solutions, overseeing data applications on AWS and on-premises while collaborating with various stakeholders to meet business goals.

The Director, Lead Data & Analytics Engineer will architect and develop scalable systems, assess new projects, handle coding and reviews, and contribute to software life cycle phases.

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

The Sr. Data Engineer will develop and maintain data pipelines, optimize performance in Azure, and implement data governance while mentoring junior resources.

The Senior Data Engineer will build data pipelines, mentor team members, design complex data solutions, and support AI and business intelligence initiatives.

As a Lead Data Engineer, you'll design scalable data frameworks, develop data pipelines, implement data quality checks, and collaborate with stakeholders to enhance data solutions.