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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