Tax Innovation - Data Engineer - Senior Associate

PwC•Washington, DC

4d•$77,000 - $214,000•Remote

About The Position

As a Tax Innovation - Data Engineer - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Tax practice, you will focus on designing and building data infrastructure and systems to facilitate 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 leverage your skills to build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow. In this role, you will utilize a broad range of tools and methodologies to generate new ideas and solve problems. You will interpret data to inform insights and recommendations, upholding professional and technical standards. This position offers a unique opportunity to develop a deeper understanding of the business context and how it is evolving.

Requirements

At least a Bachelor's degree
At least 3 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
Demonstrating proficiency in Azure Data Factory and Microsoft Azure Databricks
Utilizing advanced skills in data modeling and data pipeline development
Excelling in data architecture development and database management systems
Implementing data anonymization and database security best practices
Leveraging experience with Snowflake Data Warehouse and Databricks Unified Data Analytics Platform
Applying analytical thinking and creativity to solve complex data engineering challenges

Responsibilities

Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis
Implementing data pipelines, integration, and transformation solutions to support client needs
Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for data engineering tasks
Developing data architecture and modeling strategies to optimize data flow and storage
Applying database management and security best practices to maintain data integrity
Building and maintaining data lakes and warehouses, including Snowflake Data Warehouse
Conducting data validation and quality checks to support accurate insights generation
Collaborating with clients to understand their data requirements and deliver tailored solutions
Leveraging analytical thinking and creativity to solve complex data challenges
Engaging in performance tuning and query optimization to enhance system efficiency
Supporting the development of data strategy and governance frameworks to align with business objectives