Senior Associate Tax Innovation Data Engineer

PWC

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Dallas, TXChicago, ILWashington, DCNew York, NY
Salary: $77,000–$214,000 / yr
Posted: 30 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k

This role $146k

$61k most similar roles pay here $230k

This role pays less than 63% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $146k versus about $169k 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 105 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 103 roles with salary data.

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View all roles at PWC

At a glance

TL;DR · Senior Associate Tax Innovation Data Engineer

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As a Tax Innovation - Data Engineer - Senior Associate within the Tax practice, you will transform raw data into actionable insights to drive business growth and informed decision-making. You will design and build data infrastructure, systems, and pipelines while implementing integration and transformation solutions to support client needs. Your daily work involves developing data architecture and modeling strategies, performing query optimization, and ensuring data integrity through security best practices and anonymization. The role requires proficiency in Azure Data Factory, Databricks Unified Data Analytics Platform, and Snowflake Data Warehouse. You will also conduct data validation, manage data lakes, and develop governance frameworks to align with business objectives. This position focuses on solving complex data engineering challenges within the tax domain by utilizing analytical thinking and creativity to optimize data flow and storage for various client requirements.

Skills

Azure Data Factory Databricks Snowflake Data Engineering Data Modeling Data Pipelines Data Architecture Database Management Data Lakes Query Optimization Data Integration Data Transformation

What you'll do

Design and develop data infrastructure and systems to facilitate efficient processing and analysis.
Implement data pipelines, integration solutions, and transformation workflows to support client needs.
Utilize Azure Data Factory and Databricks Unified Data Analytics Platform for engineering tasks.
Develop data architecture and modeling strategies to optimize data flow and storage.
Build and maintain data lakes and warehouses, including Snowflake Data Warehouse.
Perform data validation and quality checks to ensure accurate insights generation.
Execute performance tuning and query optimization to enhance system efficiency.
Support the development of data strategy and governance frameworks aligned with business objectives.

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, Engineering, Finance, or Mathematics/Statistics (preferred).
Proficiency in Azure Data Factory and Microsoft Azure Databricks (preferred).
Advanced skills in data modeling and data pipeline development (preferred).
Expertise in data architecture development and database management systems (preferred).
Experience with Snowflake Data Warehouse and Databricks Unified Data Analytics Platform (preferred).
Ability to implement data anonymization and database security best practices (preferred).

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