Tax Innovation - Data Engineer - Senior Associate

PwC; Chicago (IL); On-site; USD 77,000 - 214,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k

Holiday pay

Vacation

Personal and family sick leave

Job summary

PwC is seeking a Tax Innovation Data Engineer Senior Associate in Chicago to design and build data infrastructure and pipelines for client analytics. You will implement data integration, transformation solutions, and leverage Azure Data Factory and Databricks to enable data-driven insights.

Responsibilities include architecture, modeling, data validation, and collaborating with clients to deliver tailored data solutions while upholding security and governance standards.

Qualifications

• Bachelor's degree required.
• Minimum 3 years of experience in data engineering or related field.
• Experience designing data infrastructure and ETL/ELT pipelines is essential.
• Proficiency with Azure Data Factory and Databricks preferred.

Responsibilities

• Design and develop data infrastructure and systems for efficient processing and analysis.
• Build and maintain data pipelines, integration, and transformation solutions for clients.
• Utilize Azure Data Factory and Databricks for data engineering tasks.
• Develop data architecture and modeling strategies to optimize flow and storage.
• Ensure data security and governance best practices.

Skills

Azure Data Factory

Databricks

Data modeling

Data pipelines

Data integration

Data security

Education

Bachelor's degree

Tools

Azure Databricks

Snowflake

Job description

The Opportunity

As a Tax Innovation - Data Engineer - Senior Associate, 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 Senior Associate, you will leverage your skills to build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow. In this role, you will utilize a broad range of tools and methodologies to generate new ideas and solve problems. You will interpret data to inform insights and recommendations, upholding professional and technical standards. This position offers a unique opportunity to develop a deeper understanding of the business context and how it is evolving.

Responsibilities

• Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis
• Implementing data pipelines, integration, and transformation solutions to support client needs
• Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for data engineering tasks
• Developing data architecture and modeling strategies to optimize data flow and storage
• Applying database management and security best practices to maintain data integrity
• Building and maintaining data lakes and warehouses, including Snowflake Data Warehouse
• Conducting data validation and quality checks to support accurate insights generation
• Collaborating with clients to understand their data requirements and deliver tailored solutions
• Leveraging analytical thinking and creativity to solve complex data challenges
• Engaging in performance tuning and query optimization to enhance system efficiency
• Supporting the development of data strategy and governance frameworks to align with business objectives

What You Must Have

• At least a Bachelor's degree
• At least 3 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 Azure Data Factory and Microsoft Azure Databricks
• Utilizing advanced skills in data modeling and data pipeline development
• Excelling in data architecture development and database management systems
• Implementing data anonymization and database security best practices
• Leveraging experience with Snowflake Data Warehouse and Databricks Unified Data Analytics Platform
• Applying analytical thinking and creativity to solve complex data engineering challenges

The salary range for this position is: $77,000 - $214,000. 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, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.