Data Engineer

At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, Partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions.

The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us!

Summary:
We are seeking a skilled Data Engineer to contribute to our data infrastructure and pipeline development. This role is ideal for a professional with solid SQL Server experience who is ready to take on more complex projects and begin developing leadership skills. The successful candidate will work independently on data engineering tasks while collaborating closely with senior team members and stakeholders.

Responsibilities:

• Design and develop robust data pipelines using SQL Server Integration Services (SSIS) and related tools
• Build and maintain complex database schemas, stored procedures, functions, and views in SQL Server
• Implement data quality frameworks and validation processes to ensure data integrity
• Optimize database performance through query tuning, indexing strategies, and system monitoring
• Collaborate with business analysts and stakeholders to gather and translate data requirements
• Develop and maintain ETL/ELT processes for both batch and incremental data loads
• Monitor data pipeline performance and proactively address issues
• Document technical processes, data flows, and system configurations
• Participate in code reviews and contribute to technical standards and best practices
• Support junior engineers through knowledge sharing and informal mentoring
• Investigate and resolve data discrepancies and pipeline failures

Qualifications:

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field
• 3-5 years of hands-on experience with SQL Server (T-SQL, SSMS, SSIS)
• Strong proficiency in writing complex SQL queries, stored procedures, and functions
• Solid understanding of design principles, normalization, and performance optimization
• Experience with ETL/ELT development and data integration patterns
• Knowledge of data warehousing concepts and dimensional modeling techniques
• Experience with version control (Git) and collaborative development practices
• Programming experience in Python for data processing tasks
• Experience with the Databricks platform a plus