Managed Services - Data Engineer - Experienced Associate

PRICE WATERHOUSE COOPERS; Charlotte (NC); On-site; USD 63,000 - 140,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401k

Holiday pay

Vacation

Personal and family sick leave

Job summary

PwC Managed Services in Charlotte, NC seeks an Experienced Associate Data Engineer to build data pipelines, develop BI solutions, and support client engagements in a fast-paced environment.

Responsibilities include data architecture, SQL optimization, and collaboration across teams to deliver robust analytics using tools like DataStage, Oracle BI, QlikView, and Snowflake.

Qualifications

• A bachelor’s degree is required.
• Minimum of 1 year of relevant experience.
• Experience with data integration and analytics platforms is preferred.

Responsibilities

• Develop and implement data driven solutions to optimize business performance and strengthen competitive advantage, including ETL processes.
• Apply advanced analytics techniques to deliver strategic insights that inform client decisions.

Skills

Data engineering

SQL

Python

Java

ETL

Data analysis

Education

Bachelor's degree

Tools

DataStage

Oracle BI

QlikView

DB2

SQL Server

Snowflake

UNIX

Job description

PwC Managed Services is offering an on-site opportunity in Charlotte, NC for an Experienced Associate Data Engineer. This role centers on building data-driven solutions, constructing robust data pipelines, and delivering strategic analytics for clients within the Data & Analytics practice. It emphasizes continuous learning, collaboration, and active contribution to client engagements while expanding technical expertise. The position carries a salary range of USD 63,000 to 140,000 per year and a comprehensive benefits package to support you and your family.

Responsibilities

• Develop and implement data driven solutions to optimize business performance and strengthen competitive advantage, covering data engineering and ETL processes.
• Apply advanced analytics techniques to deliver strategic insights that inform client decision making, including SQL optimization.
• Build and maintain data pipelines to support efficient data collection and analysis, leveraging DataStage.
• Utilize business intelligence tools to create reports and dashboards, including Oracle Business Intelligence and QlikView, while working with DB2 and SQL Server databases.
• Collaborate with teammates to gather and analyze data from multiple sources to identify patterns and trends using star schemas and dimensional modeling.
• Apply data architecture development skills to design and maintain robust database management systems, including snowflake models.
• Engage in continuous process improvement to enhance data quality and integrity.
• Support client engagements by listening to diverse perspectives and needs in regulated environments.
• Contribute to the development of business cases and market development strategies through data analysis and interpretation.
• Adapt to a fast paced environment and take ownership of tasks to consistently deliver quality work, including job scheduling and UNIX environments.

Requirements

• A bachelor’s degree is required.
• Minimum of 1 year of relevant experience.

Technologies

• DataStage
• Oracle Business Intelligence
• QlikView
• DB2
• SQL Server
• SQL
• Python
• Java
• Spotfire
• Oracle BI
• Snowflake
• UNIX

Benefits

• Medical
• Dental
• Vision
• 401k
• Holiday pay
• Vacation
• Personal and family sick leave

What Sets You Apart

• Preference for at least one of these fields of study: Computer and Information Science; Computer and Information Science & Accounting; Economics; Economics and Finance; Economics and Finance & Technology; Operations Management/Research; Statistics; Engineering.
• Proficiency in Python and Java programming languages.
• Experience using data visualization tools such as QlikView and Spotfire.
• Experience developing business intelligence solutions using Oracle BI.
• Engagement in data architecture development and management.
• Ability to apply macroeconomic and microeconomic analysis skills.
• Strong data analysis and interpretation capabilities.