below marketmost similar roles pay hereabove market
This role pays less than
56%
of similar roles. Most pay
$126,800–$203,350
— the blue band above.
At the midpoint, this role pays about
$146k
versus about
$165k
for comparable roles.
Based on 240 similar postings.
Employer
About PWC
PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting
PWC currently has
101 open roles
on FindRole.
Listed pay typically runs
$99,000–$232,000
across 97 roles with salary data.
As a Tax Innovation - Data Engineer - Senior Associate within the Tax practice, you will design and build data infrastructure and systems to facilitate efficient data processing and analysis. Your day-to-day responsibilities include developing data pipelines, integration, and transformation solutions while building data architecture and modeling strategies to optimize data flow and storage. You will maintain data lakes and warehouses, perform data validation, and conduct performance tuning and query optimization. The role requires proficiency in Azure Data Factory, Microsoft Azure Databricks, and Snowflake Data Warehouse. You must apply database management, security best practices, and data anonymization to maintain integrity. By interpreting data to inform insights, you will solve complex data engineering challenges and support the development of data strategy and governance frameworks.
Design and develop data infrastructure and systems to facilitate efficient data processing and analysis.
Implement data pipelines, integration, and transformation solutions to support specific client needs.
Utilize Azure Data Factory and Databricks Unified Data Analytics Platform for core data engineering tasks.
Develop data architecture and modeling strategies to optimize data flow and storage.
Build and maintain data lakes and warehouses, specifically utilizing the Snowflake Data Warehouse.
Conduct data validation and quality checks to ensure the generation of accurate insights.
Perform performance tuning and query optimization to enhance overall system efficiency.
Apply database management and security best practices to maintain data integrity and anonymization.
What we're looking for
At least a Bachelor's degree.
At least 3 years of experience.
Preference for a degree in Analytics, Data Science, Business, Computer Science, Economics, Engineering, Finance, Mathematics, or Statistics (preferred).
Proficiency in Azure Data Factory and Microsoft Azure Databricks (preferred).
Advanced skills in data modeling and data pipeline development (preferred).
Excellence in data architecture development and database management systems (preferred).
Experience with Snowflake Data Warehouse and Databricks Unified Data Analytics Platform (preferred).
Python
SQL
NoSQL
R
Spark
Kafka
Hadoop
Hive
EMR
MySQL
MapReduce
Plotly
Seaborn
ggplot2
NLP
LLMs
Data Warehousing
Data Mining
Statistics
Probability Modeling
Gurobi