Data Engineer – Manager

PwC

Data Engineer - Manager role focused on building data infrastructure and driving business insights. Leading data-driven projects, mentoring staff, and engaging with clients.

Posted 6/17/2026full-timeAtlanta • Illinois, North Carolina, Ohio • 🇺🇸 United StatesMid-LevelSenior💰 $99,000 - $232,000 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

data infrastructure designdata processingdata pipelinesdata integrationdata transformationdata architecturedatabase optimizationdata anonymizationdimensional modelingdata warehouse troubleshooting

Soft Skills

leadershipmentoringstrategic planningconflict resolutioncommunication

Tools & Technologies

Amazon Web Services (AWS)Azure Data FactoryDatabricksSnowflake

Certifications & Qualifications

Bachelor's degree

Industry Keywords

data engineeringdata qualitydata securitycomplianceanalytics frameworks

Tech Stack

Tools & technologies

AWSAzure

About the role

Key responsibilities & impact

Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
Developing and managing data pipelines, integration, and transformation solutions to support client needs
Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
Leading teams in the strategic planning and execution of data-driven projects
Overseeing the deployment of scalable data solutions using platforms like Databricks and Snowflake
Guiding team members in data architecture development and database optimization
Validating data quality, security, and compliance within analytics frameworks
Identifying opportunities for data utilization to drive business growth and performance
Mentoring junior staff to develop their skills and encourage innovation
Addressing conflicts and engaging in critical conversations with clients and stakeholders

Requirements

What you’ll need

At least a Bachelor's degree
At least 4 years of experience
Preference for fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics
Utilizing Amazon Web Services (AWS) and Azure Data Factory for data engineering
Developing data architecture and optimization strategies using Snowflake and Databricks
Implementing data anonymization and security best practices in complex systems
Excelling in dimensional modeling and data pipeline management
Leading teams in data warehouse troubleshooting and performance tuning
Mentoring junior staff in data strategy and validation techniques

Benefits

Comp & perks

medical
dental
vision
401k
holiday pay
vacation
personal and family sick leave
annual discretionary bonus