Senior Data Engineer — Hybrid Role: Build Scalable Data Pipelines

Westinghouse Electric Company; Cranberry Township (Butler County); Hybrid; USD 85,000 - 107,000; Full time

Benefits offered by this job

Medical benefits

Wellness Programs

401(k) with Company Match

Paid Vacations

Flexible Work Arrangements

Educational Reimbursement

Global Recognition

Employee Referral Program

Job summary

Westinghouse Electric Company is seeking a Senior Data Engineer to manage data pipelines, ETL processes, and data quality across our digital solutions in a hybrid Cranberry Township, PA role. You’ll collaborate with IT and data science teams to ensure scalable, reliable data movement and accurate reporting for leadership.

You will lead schema design, develop ingestion and transformation services, and support standards for ETL and data storage while mentoring junior engineers.

Qualifications

• Bachelor's degree in Computer Science or Data Engineering or related field with background in database technologies and data engineering/analysis/reporting.
• 3+ years data engineering/analysis/reporting experience.
• Experience with Databricks Lakehouse, Spark, Oracle, PowerBI, SQL Server, Python, ETL Solutions.
• Familiarity with other database technologies, analysis, reporting and AI tools.

Responsibilities

• Implement data schemas, stored procedures, data pipelines, and data visualization artifacts.
• Develop services for ingestion, transformation, and loading of data from several data sources and small to large datasets.
• Develop scalable data pipelines and API integrations to support increases in data volume and complexity.
• Implement processes to monitor data quality, ensuring production data is always accurate and available for partners and business processes that depend on it.
• Prepare and deliver reports to leadership on data quality and recommendations for continuous improvement.
• Implement changes to data architecture and transform data to prepare for use by the data scientists and development teams.
• Support Data Engineer leadership to create standards based on industry best practices for ETL solutions, data storage, data ingestion, and data pipelines.
• Provide reviews on code, methods, and reporting to others in the group as part of a quality assurance process.
• Provide recommendations on solutions specific to area of expertise (e.g., Power BI, NLP model development, ADF, etc.) and recognize when you should explore another solution.

Skills

Data engineering experience

Familiarity with databases and AI

Education

Bachelor's degree in Computer Science or Data Engineering or related field

Tools

Databricks Lakehouse

Spark

Oracle

PowerBI

SQL Server

Python

ETL Solutions

Job description

Westinghouse Electric Company is seeking a Senior Data Engineer to manage data pipelines, ETL processes, and data quality across our digital solutions in a hybrid Cranberry Township, PA role. You’ll collaborate with IT and data science teams to ensure scalable, reliable data movement and accurate reporting for leadership.

You will lead schema design, develop ingestion and transformation services, and support standards for ETL and data storage while mentoring junior engineers.