Senior Data Engineer: Tax Data Platform & Pipelines

PRICE WATERHOUSE COOPERS; New York (NY); On-site; USD 77,000 - 214,000; Full time

Job summary

PwC in New York seeks a Tax Innovation - Data Engineer, Senior Associate, to design data infrastructure and build pipelines that transform raw data into actionable insights for tax engagements. You will develop data processing solutions and contribute to data governance while advancing your technical skills.

The role requires collaboration with clients and team members to deliver tailored analytics, with a focus on scalable data architectures and secure data practices.

Qualifications

• Bachelor's degree required.
• At least 3 years of experience in data engineering or related field.
• Experience with cloud-based data platforms and data pipelines is expected.

Responsibilities

• Design and develop data infrastructure and systems for efficient data processing and analysis.
• Implement data pipelines, integration, and transformation solutions.
• Utilize Azure Data Factory and Databricks for engineering tasks.
• Develop data architecture and modeling strategies to optimize data flow and storage.
• Apply database management and security best practices.
• Build and maintain data lakes and warehouses including Snowflake.
• Conduct data validation and quality checks to ensure accurate insights.
• Collaborate with clients to understand data requirements and deliver tailored solutions.
• Apply analytical thinking and creativity to complex data challenges.
• Engage in performance tuning and query optimization.
• Support development of data strategy and governance aligned with business goals.

Skills

Data engineering

Analytical thinking

Communication

Education

Bachelor's degree

Tools

Azure Data Factory

Azure Databricks

Snowflake Data Warehouse

Job description

PwC in New York seeks a Tax Innovation - Data Engineer, Senior Associate, to design data infrastructure and build pipelines that transform raw data into actionable insights for tax engagements. You will develop data processing solutions and contribute to data governance while advancing your technical skills.

The role requires collaboration with clients and team members to deliver tailored analytics, with a focus on scalable data architectures and secure data practices.