Data Engineer - Manager

PWC

Quick summary

Work type
On-site
Location
Atlanta, GARaleigh, NCCharlotte, NCChicago, ILCincinnati, OH
Salary
$99,000–$232,000 / yr
Posted
8 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $166k
$83k most similar roles pay here $248k

This role pays less than 59% of similar roles. Most pay $149,337–$214,600 — the shaded band above. At the midpoint, this role pays about $166k versus about $182k 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.

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View all roles at PWC

At a glance

TL;DR · Data Engineer - Manager

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As a Data Engineer - Manager within our Technology Consulting practice, you will lead the design and implementation of robust data infrastructure and systems, enabling efficient data processing and analysis for diverse clients. Your daily responsibilities include managing data pipelines using AWS and Azure Data Factory, overseeing scalable solutions with Databricks and Snowflake, and mentoring junior staff to enhance their skills in data architecture and optimization. You will also validate data quality and security while identifying opportunities for business growth through strategic planning and execution of data-driven projects. This role requires at least 4 years of experience and proficiency in AWS, Azure Data Factory, Snowflake, and Databricks, along with a background in fields such as Management Information Systems or Computer Science to excel in this fast-paced environment.

Skills

AWS Azure Data Factory Databricks Snowflake Python SQL CI/CD Kubernetes Terraform PostgreSQL Dimensional Modeling Data Anonymization Security Best Practices Scalable Data Solutions Data Quality Validation Database Optimization Mentoring Junior Staff Leadership Development

What you'll do

  • Design and implement data infrastructure for efficient processing and analysis.
  • Develop and manage data pipelines using AWS and Azure Data Factory.
  • Oversee deployment of scalable data solutions on Databricks and Snowflake.
  • Lead strategic planning and execution of data-driven projects with teams.
  • Validate data quality, security, and compliance within analytics frameworks.
  • Mentor junior staff to enhance their skills in data strategy and validation.

What we're looking for

  • At least 4 years of experience in data engineering or related field.
  • Expertise in AWS, Azure Data Factory, Snowflake, and Databricks.
  • Strong background in designing and optimizing data architectures.
  • Proven ability to lead teams and mentor junior staff effectively.
  • Experience in validating data quality, security, and compliance.
  • Capability to identify business opportunities through data utilization.

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