Database Engineer
Emergent Staffing · United States · 3 days 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.