Senior Database Engineer

**This is a direct-hire position with our client at a fully remote company. Applicants must be authorized to work in the U.S. without sponsorship.**

We’re looking for a Senior Database Engineer to help guide how data is designed, managed, and used across a cloud-based SaaS platform. This role partners closely with engineering and infrastructure teams to build reliable, scalable systems that support product development and long-term growth. While some ETL work exists, the focus is on data strategy, platform health, and smart decision-making around data architecture.

Responsibilities

• Lead and influence how production data systems are designed, managed, and improved

• Partner with engineering and cloud infrastructure teams to support a modern SaaS platform

• Make thoughtful data architecture decisions with a bias toward action

• Improve reliability, performance, and scalability of data systems

• Support DevOps workflows related to data, including CI/CD and monitoring

• Coach and mentor engineers across platform and product teams

• Contribute to a collaborative, remote-first engineering culture

Qualifications

• Hands-on experience managing production data systems

• Strong understanding of cloud environments and site reliability concepts

• Experience working with T-SQL and SQL Server

• Experience with DevOps practices and tools such as CI/CD pipelines and source control

• Familiarity with at least one general-purpose programming language

• Strong written and verbal communication skills

• Self-directed and comfortable working independently in a remote setting

Preferred Skills

• Experience with AWS-based environments

• Familiarity with monitoring and performance tools

• Exposure to AI or agent-based approaches to working with data

• Broad understanding of modern platform architecture

• Passion for coaching, mentoring, and leveling up teammates

Our Vetting Process

At Emergent Staffing, we work hard to find the software engineers who are the right fit for our clients. Here are the steps of our vetting process for this position:

1. Application (5 minutes)

2. Online Assessment (40-60 minutes)

3. Initial Video Interview (30-45 minutes)

4. Client On-site Interview (60 minutes)

5. Job Offer!

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Highlights

In this role, you will shape how data is managed across a SaaS platform to support scalable, reliable products.