Tax Innovation Data Engineer Manager

PWC

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Dallas, TXChicago, ILWashington, DCNew York, NY
Salary: $99,000–$266,000 / yr
Posted: 31 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k

This role $182k

$79k most similar roles pay here $286k

This role pays less than 55% of similar roles. Most pay $139,914–$223,750 — the shaded band above. At the midpoint, this role pays about $182k versus about $182k 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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At a glance

TL;DR · Tax Innovation Data Engineer Manager

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As a Tax Innovation - Data Engineer - Manager, you will join the Tax practice to transform raw data into actionable insights while designing and building robust data infrastructure. You will be responsible for developing and managing data pipelines, integration solutions, and transformation processes to support client needs. Your daily work involves building and maintaining data warehouses and lakes, applying data modeling and dimensional modeling techniques to optimize architecture, and overseeing data quality and security within analytics frameworks. You will lead teams through strategic planning, mentor junior staff, and manage client accounts. The role requires proficiency in Azure Data Factory, Databricks Unified Data Analytics Platform, and Snowflake Data Warehouse solutions. You will solve complex problems by creating systems for efficient data processing to drive business growth and informed decision-making within the tax domain.

Skills

Azure Data Factory Databricks Snowflake Data Engineering Data Pipelines Data Modeling Dimensional Modeling Data Integration Data Transformation Data Architecture Business Intelligence Analytics

What you'll do

Design and implement data infrastructure and systems to facilitate efficient processing and analysis.
Develop and manage data pipelines, integration solutions, and transformation workflows to support client needs.
Utilize Azure Data Factory and Databricks Unified Data Analytics Platform to enhance data solutions.
Build and maintain data warehouses and lakes to support business intelligence and analytics.
Apply data modeling and dimensional modeling techniques to optimize overall data architecture.
Oversee data quality, validation, and security protocols within the analytics frameworks.
Lead teams in strategic planning and execution of complex data engineering projects.
Mentor junior staff and manage team performance to ensure high-quality project delivery.

What we're looking for

At least a Bachelor's degree.
At least 5 years of experience.
Experience utilizing Azure Data Factory and Microsoft Azure Databricks for data engineering (preferred).
Experience developing data architecture and data modeling strategies (preferred).
Experience implementing Snowflake Data Warehouse and Snowflake Schema solutions (preferred).
Degree in Analytics, Data Science, Business Administration, Computer Science, Economics, Engineering, Finance, Mathematics, or Statistics (preferred).
Ability to mentor teams in data integration and transformation techniques (preferred).
Proficiency in strategic questioning and analytical thinking (preferred).

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