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# Senior Software Developer

- **Company:** Westinghouse Electric Company LLC.
- **Location:** Cranberry Township, PA, United States
- **Experience:** Expert
- **Salary:** $85,200 - $106,500
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Databases, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Visualization, Database Schema, Python (Programming Language), Microsoft SQL Server, Operational Databases, Oracle (Applications), Power BI, Software Engineering, SQL Stored Procedures, Data Storage Technologies, Data Ingestion, Apache Spark, Information Technology, Data Pipelines, Api Management, Databricks
- **Published:** November 10, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/86960145/1

## About the Role

* Bachelor's degree in computer science or data engineering or related degree with a background in database technologies and data engineering/analysis.
 * 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 and AI tools

## Description

Are you interested in being part of an innovative team that supports Westinghouse's mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace., As a Senior Software Developer, you will manage the maintenance, improvement, cleaning, transforming, and movement of data related to Westinghouse's digital solutions. You will aid in the implementation of database requirements and ensure database and data pipeline health.

You will report to the Manager of Software Development. This is a mobile/hybrid role based in Cranberry, PA. No relocation is available. Local candidates only., * 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