Tax Innovation - Data Engineer - Senior Manager

Posted 9 Hours Ago
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4 Locations
Hybrid
124K-335K Annually
Senior level
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The Role
Lead design and implementation of scalable data infrastructure, pipelines, and transformations using cloud platforms. Build and optimize data warehouses (Snowflake, Databricks), orchestrate workflows (Airflow, Hadoop), ensure data quality and security, and coach teams to deliver analytics solutions that drive tax practice insights and client outcomes.
Summary Generated by Built In
The Opportunity
As a Tax Innovation - Data Engineer - Senior Manager, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. Within our Tax practice, you will leverage advanced technologies and techniques to transform raw data into actionable insights, empowering clients to make informed decisions and drive business growth. In this role, you will develop and implement data pipelines, data integration, and data transformation solutions, playing a crucial role in delivering robust data solutions.
As a Senior Manager, you will apply your skills and professional knowledge to deliver quality results. You will motivate and coach teams to solve complex problems, applying sound judgment to recognize when to take action and when to escalate. Your ability to develop and sustain diverse and inclusive teams contributes to the success of our firm. You will craft and convey clear, impactful messages, apply systems thinking to identify underlying problems, and validate outcomes with clients. In this role at PwC, you will drive project success through strategic advising and influence, fostering a culture of continuous improvement and innovation.
Responsibilities
- Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis
- Implementing data pipelines, integration, and transformation solutions to convert raw data into actionable insights
- Leveraging advanced technologies and techniques to drive business growth through data engineering
- Building and maintaining scalable data architectures using platforms like Amazon Web Services (AWS) and Azure Data Factory
- Utilizing Apache Airflow and Hadoop for orchestrating complex data workflows and enhancing data processing capabilities
- Developing and optimizing data models and warehouses, including Snowflake and Databricks, to support strategic decision-making
- Validating data quality and security within analytics frameworks to maintain data integrity
- Coaching and motivating teams to solve complex problems and deliver quality results
- Applying systems thinking to identify underlying problems and opportunities in data engineering projects
- Crafting and conveying clear, impactful messages that tell a holistic story to clients and stakeholders
What You Must Have
- At least a Bachelor's degree
- At least 7 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 data engineering platforms like Databricks and Snowflake
- Utilizing advanced skills in data architecture development and data modeling
- Applying strategic questioning and analytical thinking to solve complex problems
- Leading teams through ambiguity with composure and strategic direction
- Innovating data integration and transformation processes for client solutions
- Excelling in coaching and feedback to develop high-performing teams
The salary range for this position is: $124,000 - $335,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Skills Required

  • Bachelor's degree
  • 7+ years of relevant experience
  • Proficiency with Databricks
  • Proficiency with Snowflake
  • Experience with AWS
  • Experience with Azure Data Factory
  • Experience with Apache Airflow
  • Experience with Hadoop
  • Data architecture development and data modeling skills
  • Experience building data pipelines, integration, and transformation solutions
  • Coaching and leading teams
  • Validating data quality and security within analytics frameworks

What the Team is Saying

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PwC Compensation & Benefits Highlights

  • Retirement Support An employer-funded Wealth Builder contribution sits alongside the 401(k), a distinctive feature that strengthens long-term savings and is highlighted as a clear plus.
  • Parental & Family Support Policies include 12 weeks of paid leave for all parents with a phased return, along with support for fertility, surrogacy/adoption, and childcare resources.
  • Wellbeing & Lifestyle Benefits Mental-health commitments, coaching and app access, fitness programs, hybrid flexibility, and firmwide U.S. shutdown weeks underscore a strong focus on wellbeing, with recent recognition for excellence in health and well-being.

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The Company
HQ: New York, NY
370,000 Employees
Year Founded: 1998

What We Do

Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes. As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions. You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.

Why Work With Us

At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.

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