Jobs · Engineering

Database Engineer

Emergent Staffing · United States · 2 mo ago
RemoteRemoteEngineeringFull-time

About the role

This position is a direct hire for one of our clients. This is a remote position. Eligible candidates must currently reside in the US and authorized to work in the US without visa sponsorship.

Primary Duties

  • Partner with software engineers and application teams to review SQL and stored procedure changes.
  • Assess the potential impact of database changes, including performance, reliability, and downstream application effects.
  • Support database-related incident triage, monitoring alerts, and production issue remediation.
  • Help improve data models, data access patterns, and database governance practices.
  • Collaborate with architecture and engineering teams to strengthen database engineering practices across multiple application teams.
  • Contribute to future database initiatives, which may include monitoring improvements, disaster recovery planning, SQL upgrades, database migrations, SQL release pipeline work.
  • Provide practical guidance to teams working with shared data and application-layer database needs.

Qualifications

  • Strong SQL skills, including the ability to evaluate SQL syntax, stored procedures, and application-driven database changes.
  • Experience with SQL Server performance considerations, data modeling, data access patterns, and database governance.
  • Familiarity with AWS infrastructure, especially EC2 and RDS.
  • Able to collaborate closely with software engineers and application teams.
  • Experience supporting production issue triage or troubleshooting database-related incidents.
  • Strong communication skills and the ability to explain database impacts, risks, and recommendations clearly.
  • Pragmatic problem-solving approach with strong ownership and team collaboration.

Nice to Have Skills

  • Experience in a SaaS environment.
  • Experience with monitoring tools such as Datadog or similar platforms.
  • DBA-related experience, including disaster recovery, database migrations, SQL upgrades, or SQL release pipelines.
  • Experience translating database knowledge from Microsoft environments into AWS-based environments.
  • Interest in AI, especially demonstrated through real projects, implementations, or practical experimentation.

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