Data Engineer - Manager

PwC•Cincinnati, OH

23h•$99,000 - $232,000•Remote

About The Position

As a Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. In this role, you will have the opportunity to work with a diverse range of clients, helping them to harness the power of data and analytics to achieve their business objectives.

Requirements

At least a Bachelor's degree
At least 4 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical 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

Responsibilities

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