Tax Innovation - Data Engineer - Senior Associate

PwC
Dallas, TX, United States
23 days ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$77,000.0 - $214,000.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Microsoft Azure Information Systems Databases Data Architecture Data Validation Information Engineering Data Infrastructure Data Integration Data Transformation Services Data Warehousing Database Security
+12 more
Performance Tuning Query Optimization Data Streaming Data Processing Azure Data Factory Snowflake Data Strategy Data Lakes Information Technology Data Analytics Data Pipelines Databricks

Job description

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., * 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

Requirements

  • 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

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Paid holidays, 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all