Overview
Hybrid
Depends on Experience
Full Time
No Travel Required
Skills
Data Engineering
Data Engineer
Data Pipelines
Data Pipeline
Data
PySpark
Hadoop
Data Fabric
Business Intelligence
SQL
Extract
Transform
Load
Job Details
Job Title: Senior Data Engineer
Location: Hybrid from Pittsburgh, PA
Note: No agencies or candidates requiring sponsorship now or in the near future. W2 ONLY
We are seeking a Senior Data Engineer to drive key initiatives in data pipeline development, data quality (DQ) engineering, data observability, and business intelligence (BI) dashboard support. This role will be instrumental in building and optimizing scalable, high-performance data solutions that support our Data Fabric strategy.
Key Responsibilities:
- Design, develop, and optimize reliable data pipelines to support Data Fabric initiatives.
- Automate data ingestion, transformation, and processing workflows.
- Integrate data sources across multiple platforms for seamless access and sharing.
- Collaborate with data scientists, analysts, engineers, and business teams to translate requirements into scalable solutions.
- Conduct rigorous data testing to ensure pipeline functionality, accuracy, and reliability.
Required Skills & Experience:
- PySpark / Python
- Hadoop
- Oracle SQL
- Data Science background
Preferred Skills:
- Experience with Anti-Money Laundering (AML)
#SeniorDataEngineer
#DataEngineering
#BigData
#DataPipelines
#PySpark
#Hadoop
#OracleSQL
#ETLDevelopment
#DataScience
#BusinessIntelligence
#DataQuality
#DataAutomation
#AMLCompliance
#PhiladelphiaJobs
#HybridJobs
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.