Senior Associate, Tax Data Engineering & Governance

PwC

Dallas (TX)

On-site

USD 77,000 - 214,000

Full time

6 days ago
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Job summary

PwC is actively hiring a Tax Innovation - Data Governance Senior Associate in Dallas, TX. The role focuses on designing data infrastructure and building pipelines to transform raw data into insights that inform client decisions.

You will work across data engineering platforms to deliver scalable, secure solutions. The position emphasizes collaboration, client relationship building, and leadership as you grow technical skills and manage teams in an increasingly complex data environment.

Qualifications

  • Bachelor's degree required.
  • Minimum 3 years of experience.
  • Experience in data governance or data engineering preferred.

Responsibilities

  • Designing and implementing data pipelines for processing and analysis.
  • Developing data integration and transformation solutions for client decision-making.
  • Utilizing Azure Data Factory and Databricks for scalable architecture development.
  • Building and maintaining data infrastructure to support robust data solutions.
  • Applying analytical thinking to transform raw data into actionable insights.
  • Managing database security and data anonymization to uphold data integrity.
  • Collaborating with teams to optimize data strategy and performance.

Skills

Data governance
Analytical thinking
Problem solving
Client relationships
Cross-team collaboration

Education

Bachelor's degree

Tools

Azure Data Factory
Azure Databricks
Snowflake
Data modeling
Data validation

Job description

PwC is actively hiring a Tax Innovation - Data Governance Senior Associate in Dallas, TX. The role focuses on designing data infrastructure and building pipelines to transform raw data into insights that inform client decisions.

You will work across data engineering platforms to deliver scalable, secure solutions. The position emphasizes collaboration, client relationship building, and leadership as you grow technical skills and manage teams in an increasingly complex data environment.

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