Senior Manager, Tax Innovation Data Engineer

PWC

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Dallas, TXChicago, ILWashington, DCNew York, NY
Salary
$124,000–$335,000 / yr
Posted
30 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k
This role $230k
$99k most similar roles pay here $360k

This role pays more than 84% of similar roles. Most pay $137,325–$214,800 — the shaded band above. At the midpoint, this role pays about $230k versus about $176k 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.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · Senior Manager, Tax Innovation Data Engineer

Role Posting Log in to save

As a Tax Innovation - Data Engineer - Senior Manager within the Tax practice, you will design and build data infrastructure and systems to facilitate efficient processing and analysis. You will be responsible for developing and implementing data pipelines, integration, and transformation solutions that convert raw data into actionable insights. Your daily work involves building and maintaining scalable data architectures using Amazon Web Services and Azure Data Factory, while utilizing Apache Airflow and Hadoop to orchestrate complex workflows. You will also develop and optimize data models and warehouses using Snowflake and Databricks. To succeed, you must possess expertise in data architecture development, data modeling, and systems thinking. This role focuses on solving complex problems within the tax domain by ensuring data quality and security across various analytics frameworks for client solutions.

Skills

Data Engineering Databricks Snowflake AWS Azure Data Factory Apache Airflow Hadoop Data Pipelines Data Modeling Data Integration Data Transformation Data Architecture Analytics Data Science

What you'll do

  • Design and develop data infrastructure and systems to facilitate efficient processing and analysis.
  • Implement data pipelines, integration solutions, and transformation processes to convert raw data into actionable insights.
  • Build and maintain scalable data architectures using platforms like AWS and Azure Data Factory.
  • Orchestrate complex data workflows using Apache Airflow and Hadoop to enhance processing capabilities.
  • Develop and optimize data models and warehouses using Snowflake and Databricks for strategic decision-making.
  • Validate data quality and security within analytics frameworks to ensure integrity.
  • Coach and motivate teams to solve complex problems and deliver high-quality results.
  • Craft and convey clear, impactful messages to clients and stakeholders regarding project outcomes.

What we're looking for

  • At least a Bachelor's degree.
  • At least 7 years of experience.
  • Degree in Analytics, Data Science, Business, Computer Science, Engineering, Finance, or related fields (preferred).
  • Proficiency in data engineering platforms like Databricks and Snowflake (preferred).
  • Advanced skills in data architecture development and data modeling (preferred).
  • Ability to lead teams through ambiguity with composure and strategic direction (preferred).
  • Experience innovating data integration and transformation processes for client solutions (preferred).
  • Excellence in coaching and feedback to develop high-performing teams (preferred).

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