Data Engineer - Senior Associate

PWC

Quick summary

Work type: On-site
Location: Atlanta, GARaleigh, NCCharlotte, NCChicago, ILCincinnati, OH
Salary: $77,000–$202,000 / yr
Posted: 8 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $172k

This role $140k

$61k most similar roles pay here $231k

This role pays less than 74% of similar roles. Most pay $139,500–$205,000 — the shaded band above. At the midpoint, this role pays about $140k versus about $172k 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 · Data Engineer - Senior Associate

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As a Data Engineer - Senior Associate in our Technology Consulting practice, you will design and build robust data infrastructure and systems to enable efficient data processing and analysis for clients. Your day-to-day responsibilities include developing and maintaining data pipelines using AWS and Azure Data Factory, managing data lakes and warehouses with Apache Hadoop and Databricks, and ensuring data quality through rigorous testing. You will collaborate closely with clients to understand their needs and deliver actionable insights that drive business growth. This role requires proficiency in data engineering platforms like Databricks, expertise in cloud technologies such as AWS and Azure, and strong skills in data architecture development and modeling. The position offers opportunities to work on large-scale projects, contributing to the strategic objectives of your clients while navigating complex data environments with advanced tools and methodologies.

Skills

AWS Azure Data Factory Apache Airflow Apache Hadoop Databricks Terraform CI/CD Python SQL PostgreSQL Kubernetes Git Jenkins Prometheus Grafana Snowflake Redshift DataBricks SQL Delta Lake Kafka

What you'll do

Design and implement data infrastructure for efficient processing and analysis.
Develop and maintain data pipelines using AWS and Azure Data Factory.
Build and manage large-scale data lakes and warehouses for storage and retrieval.
Ensure data quality through rigorous testing and performance tuning.
Collaborate with clients to deliver actionable insights from raw data.

What we're looking for

Experience in designing and implementing data infrastructure using AWS and Azure.
Proficiency in developing and maintaining data pipelines, integration, and transformation solutions.
Expertise in Apache Airflow and Hadoop for scalable data processing and workflow management.
Strong skills in building and managing large-scale data lakes and warehouses.
Ability to apply dimensional modeling and DAGs for efficient data organization and processing.
Demonstrated proficiency in Databricks Unified Data Analytics Platform for advanced analytics.
Knowledge of data security best practices and compliance standards.

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