Senior Data Engineer
$85.2k - $106.5kWestinghouse Electric Company, LLC
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.
About the role: As a data engineer you will manage the maintenance, improvement, cleaning, transforming, and movement of data related to Westinghouse's digital solutions. 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 Manager of Software Development and be located at our Cranberry Township, PA facility. The position is hybrid; you will be onsite 2 to 3 days per week. Key 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.
- Bachelor's degree in Computer Science or Data Engineering or related degree with a background in database technologies and data engineering/analysis/reporting.
- 5+ 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
- Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options
- Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members
- 401(k) with Company Match Contributions to support employees' retirement
- Paid Vacations and Company Holidays
- Opportunities for Flexible Work Arrangements to promote work-life balance
- Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers
- Global Recognition and Service Programs to celebrate employee accomplishments and service
- Employee Referral Program
- Safety and Quality
- Integrity and Trust
- Customer Focus and Innovation
- Speed and Passion to Win
- Teamwork and Accountability
Vacancy posted 8 hours ago
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