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# Tax Innovation - Data Engineer - Senior Associate

- **Company:** PwC
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $77,000.0 - $214,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Information Systems, Databases, Data Architecture, Data Validation, Information Engineering, Data Infrastructure, Data Integration, Data Transformation Services, Data Warehousing, Database Security, Performance Tuning, Query Optimization, Data Streaming, Data Processing, Azure Data Factory, Snowflake, Data Strategy, Data Lakes, Information Technology, Data Analytics, Data Pipelines, Databricks
- **Published:** August 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=64e4be3f9e638b28

## About the Role

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

What Sets You Apart

 * 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

## Description

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., * 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


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