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# Data Engineer

- **Company:** Westinghouse Electric Company LLC.
- **Location:** Cranberry, PA, United States
- **Experience:** Expert
- **Salary:** $85,200.0 - $106,500.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Microsoft Azure, Big Data, Information Systems, Databases, Data Architecture, Extract Transform Load (ETL), Data Visualization, Relational Databases, Database Schema, Digital Technology, Apache Hadoop, Information Technology Operations, Operational Databases, Software Engineering, SQL Stored Procedures, Data Storage Technologies, Data Ingestion, Data Lakes, Information Technology, Non-relational Database, Data Pipelines, Api Management
- **Published:** June 23, 2026
- **Apply:** https://www.dice.com/job-detail/02d350b3-0714-4932-899f-f99c77600c60

## About the Role

* 3+ years of experience developing data schemas, stored procedures, data pipelines, and data visualization
 * B.S. in Computer Science, Information Systems, or equivalent
 * Familiarity with several data storage and management services such as relational databases, non-relational database, Data Lake 2.0
 * Experience with cloud platforms (Azure preferred) and big data technologies like Hadoop
 * Understanding of software development lifecycles
 * Familiar with best practices and IT operations for database administration
 * Experience with Agile Software Development methodologies

## Description

As a Data Engineer, you will have responsibility for the maintenance, improvement, cleaning, transforming, and movement of data related to Westinghouse's digital solutions. Daily interactions with data scientists and partners expect you to understand and aid in the implementation of database requirements and ensure database and data pipeline health. The Senior Data Engineer will also support Data Engineer leaders to maintain standards and collaborate with IT for database administration.

You will report to the Director of Digital Technology and Capabilities and be located in Cranberry, PA. This is a hybrid role., * Implement data schemas, stored procedures, data pipelines, and data visualization artifacts

 * Maintain 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


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