Tax Innovation - Data Engineer - Manager

PRICE WATERHOUSE COOPERS; New York (NY); On-site; USD 99,000 - 266,000; Full time

Benefits offered by this job

Annual discretionary bonus

Comprehensive benefits

Job summary

PRICE WATERHOUSE COOPERS in New York, NY is seeking a Tax Innovation - Data Engineer Manager to lead data infrastructure design and orchestration for complex tax analytics. You will build and mentor teams, design pipelines, and ensure data quality while partnering with clients to deliver data-driven insights.

The role emphasizes strategic planning, innovation, and integrity, with opportunities to leverage Azure Data Factory, Databricks, and Snowflake to deliver robust data solutions and enable

Qualifications

• Bachelor's degree required
• Minimum 5 years of data engineering experience
• Experience designing data pipelines and data integration preferred

Responsibilities

• Design and implement data infrastructure for efficient processing and analysis
• Develop and manage data pipelines, integration, and transformation solutions
• Lead teams in strategic planning and execution of data projects
• Leverage Azure Data Factory and Databricks to enhance data solutions
• Build and maintain data warehouses and data lakes for BI and analytics
• Apply data modeling and dimensional modeling to optimize architecture
• Oversee data quality, validation, and security within analytics frameworks
• Encourage innovation and drive improvements in data engineering practices
• Mentor team members to develop skills and improve delivery
• Collaborate with stakeholders to identify data-driven growth opportunities

Skills

data engineering

team leadership

mentoring

Education

Bachelor's degree

Tools

Azure Data Factory

Azure Databricks

Snowflake Data Warehouse

Snowflake Schema

Job description

The Opportunity

As a Tax Innovation - Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Tax practice, you will focus on designing and building data infrastructure and systems to facilitate efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

In this role, you will have the opportunity to work closely with clients, leveraging advanced technologies and techniques to design and develop robust data solutions. Your contributions will be instrumental in driving business growth and enabling informed decision-making.

Responsibilities

• Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
• Developing and managing data pipelines, integration, and transformation solutions to support client needs
• Leading teams in the strategic planning and execution of data engineering projects
• Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform to enhance data solutions
• Building and maintaining data warehouses and lakes to support business intelligence and analytics
• Applying data modeling and dimensional modeling techniques to optimize data architecture
• Overseeing data quality, validation, and security within analytics frameworks
• Encouraging innovation and embracing change to improve data engineering practices
• Mentoring team members to develop their skills and enhance project delivery
• Collaborating with stakeholders to identify opportunities for data-driven business growth

What You Must Have

• At least a Bachelor's degree
• At least 5 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
• Utilizing Azure Data Factory and Microsoft Azure Databricks for data engineering
• Developing data architecture and data modeling strategies
• Implementing Snowflake Data Warehouse and Snowflake Schema solutions
• Excelling in strategic questioning and analytical thinking
• Embracing change and innovation in data engineering projects
• Mentoring teams in data integration and transformation techniques

The salary range for this position is: $99,000 - $266,000. 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 anequal 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, and collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.