[Remote] Database Software Engineer - SQL
Note: The job is a remote job and is open to candidates in USA. Vaco by Highspring is seeking a mid-level Database Software Engineer to support enterprise web applications, data engineering initiatives, and data warehousing projects. The role focuses on developing scalable SQL Server solutions, data pipelines, SSIS-based integrations, and database modernization efforts while supporting a future migration to AWS technologies.
Responsibilities
- Design, develop, and support scalable SQL Server database solutions, ingestion frameworks, and transformation pipelines that support both application and analytics initiatives
- Build and maintain SSIS-based and other data integration processes used to ingest, transform, and deliver data across enterprise systems
- Collaborate with software engineers, architects, and technical stakeholders during architecture reviews, design discussions, code reviews, and troubleshooting efforts
- Support Agile software development initiatives while contributing to high-performance, standards-based systems and data management best practices
- Assist with database modernization efforts, cloud migration planning, and ongoing improvements related to data warehousing, reporting, analytics, and future AWS adoption
Skills
- 5+ years of hands-on Microsoft SQL Server experience in a Database Developer, SQL Developer, Database Engineer, or Data Engineering capacity
- Strong experience developing solutions using T-SQL, including stored procedures, data transformation, query optimization, and database development best practices
- Experience building and supporting SSIS (SQL Server Integration Services) or similar ETL/data integration solutions for enterprise environments
- Solid understanding of data warehousing concepts, data modeling, data management practices, and end-to-end data pipeline development
- Experience working with structured and unstructured data while supporting production systems, troubleshooting defects, and maintaining high-performance database environments
- Experience with AWS services, particularly Redshift, Glue, or cloud-based analytics and data integration platforms, as the organization prepares to migrate production environments to AWS
- Knowledge of DevOps practices, CI/CD processes, and modern software delivery methodologies
- Experience with Python, Scala, or other programming languages used for data engineering and automation initiatives
- Exposure to Business Intelligence and reporting platforms such as Power BI or Tableau
- Experience supporting data lake environments, reusable ingestion frameworks, and scalable enterprise data architectures
Benefits
- May be eligible for discretionary bonuses
- May be eligible for medical benefits
- May be eligible for dental benefits
- May be eligible for vision benefits
- May be eligible for the company's retirement plan (or similar retirement benefits)
Company Overview
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