Tax Innovation & Delivery Experience - Data Engineering - Senior Associate

PwC•Los Angeles, CA

2d•$77,000 - $214,000•Onsite

About The Position

As a Tax Innovation & Delivery Experience - Data Engineering - Senior Associate, 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 Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow. In this role within our Tax practice, you will leverage advanced technologies and techniques to transform raw data into actionable insights, enabling informed decision-making and driving business growth. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. By interpreting data to inform insights and recommendations, you will contribute to the broader objectives of your projects and understand how your work fits into the overall strategy. This position offers a chance to develop a deeper understanding of the business context and how it is evolving.

Requirements

At least a Bachelor's degree
At least 2 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 Azure Data Factory and Databricks for data engineering projects
Developing data architecture and integration strategies for complex systems
Excelling in analytical thinking and critical problem-solving
Navigating ambiguity while building meaningful client relationships
Mentoring junior team members in data engineering methodologies
Interpreting data to inform strategic insights and recommendations

Responsibilities

Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis
Implementing data pipelines, integration, and transformation solutions to convert raw data into actionable insights
Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data engineering tasks
Building and maintaining data architecture to support client-focused analytics initiatives
Optimizing database performance and security using best practices in database administration
Developing data models and validation processes to enhance data quality and reliability
Collaborating with teams to anticipate client needs and deliver tailored data solutions
Navigating complex data challenges and leveraging analytical thinking to solve problems
Mentoring junior team members and guiding them in technical and professional growth
Upholding professional standards and reinforcing the firm's code of conduct in all engagements