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Data Engineer – Experienced Associate
PwCManaged Services - Data Engineer applying data-driven solutions and analytics to enhance business performance for clients. Building robust data pipelines and participating in client engagement.
Posted 6/18/2026full-timePhoenix • Arizona, Missouri, North Carolina • 🇺🇸 United StatesJuniorMid-Level💰 $63,000 - $140,000 per yearWebsite
Tech Stack
Tools & technologiesETLJavaOraclePythonSQLUnix
About the role
Key responsibilities & impact- Developing and implementing data-driven solutions to optimize business performance and enhance competitive advantage (data engineering, ETL)
- Leveraging advanced analytics techniques to provide strategic insights and drive informed decision-making for clients (SQL optimization)
- Building and maintaining data pipelines to support efficient data collection and analysis (DataStage)
- Utilizing business intelligence tools such as Oracle Business Intelligence and QlikView to create comprehensive reports and dashboards (DB2, SQL Server)
- Collaborating with team members to gather and analyze data from various sources to discern patterns and trends (star schemas, dimensions)
- Applying data architecture development skills to design and maintain robust database management systems (snowflake models)
- Engaging in continuous process improvement to enhance data quality and integrity
- Supporting client engagement by actively listening and responding to diverse perspectives and needs (regulated environments)
- Participating in the development of business cases and market development strategies through data analysis and interpretation
- Adapting to a fast-paced environment and taking ownership of tasks to consistently deliver quality work (job scheduling, UNIX)
Requirements
What you’ll need- At least a Bachelor's degree
- At least 1 years of experience
- Preference for at least one of the following 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
- Demonstrating proficiency in Python and Java programming languages
- Utilizing data visualization tools like QlikView and Spotfire
- Developing business intelligence solutions using Oracle BI
- Engaging in data architecture development and management
- Applying macroeconomic and microeconomic analysis skills
- Excelling in data analysis and interpretation techniques
Benefits
Comp & perks- medical
- dental
- vision
- 401k
- holiday pay
- vacation
- personal and family sick leave
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringETLSQL optimizationdata pipelinesdata architecturedatabase management systemsdata analysisdata visualizationmacroeconomic analysismicroeconomic analysis
Soft Skills
collaborationactive listeningadaptabilityownershipprocess improvement