Tax Innovation & Delivery Experience - Data Engineering - Experienced Associate

PWC

Quick summary

Work type
On-site
Location
New York, NYStamford, CTMelville, NYLos Angeles, CAChicago, IL
Salary
$63,000–$153,000 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $179k
This role $108k
$44k most similar roles pay here $236k

This role pays less than 94% of similar roles. Most pay $139,500–$217,725 — the shaded band above. At the midpoint, this role pays about $108k versus about $179k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 53 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 53 roles with salary data.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · Tax Innovation & Delivery Experience - Data Engineering - Experienced Associate

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As a Tax Innovation & Delivery Experience Data Engineering Experienced Associate, you will design and build data infrastructure to enable efficient processing and analysis of raw data into actionable insights. You will develop data pipelines using Azure Data Factory and Databricks Unified Data Analytics Platform, optimize databases for performance, and collaborate with team members to gather information and analyze patterns. This role involves working in a fast-paced environment with diverse clients, adapting to unique challenges while ensuring consistent quality work. Key responsibilities include validating data quality and security, developing data architecture strategies, and engaging in active listening and feedback acceptance to foster personal growth. The position requires at least one year of experience and proficiency in Azure Data Factory, Databricks, Snowflake, and database optimization techniques.

Skills

Azure Data Factory Microsoft Azure Databricks Snowflake Python SQL Data Architecture CI/CD Kubernetes Git Azure AWS Docker Terraform Prometheus Grafana PostgreSQL MySQL Redis MongoDB Apache Spark Hadoop

What you'll do

  • Design data infrastructure and systems for efficient data processing and analysis.
  • Implement data pipelines using Azure Data Factory and Databricks.
  • Optimize database performance and reliability through advanced techniques.
  • Develop data architecture strategies to support business growth initiatives.
  • Validate data quality and security within engineering frameworks rigorously.

What we're looking for

  • At least 1 year of data engineering experience required.
  • Proficient in Azure Data Factory and Microsoft Azure Databricks.
  • Experience with Snowflake Data Warehouse and Databricks platform.
  • Strong skills in data architecture development and integration.
  • Expertise in database optimization, query optimization, and data modeling.
  • Ability to adapt to fast-paced environments and diverse client needs.

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