Database Engineer

Overview

Are you ready to make a difference in the world of consumer finance? At Attain Finance, we bring over 50 years of expertise in providing credit solutions across the U.S. and Canada. Our deep roots in the financial industry have empowered us to develop convenient, easily accessible financial services that meet our customers' growing needs.

We are seeking a skilled Database Reliability Engineer (DBRE) to own the reliability, performance, monitoring, and security of our database ecosystem across AWS RDS, Aurora, Postgre

SQL, and SQL Server. This role plays a critical part in ensuring production stability, improving database operations, strengthening governance, and supporting our shift toward real‑time ingestion and a modern Data Cloud platform.

You will work closely with Data Engineering, Software Engineering, Info Sec, and Data Governance teams to streamline database operations, improve observability, and maintain a secure, compliant environment. The ideal candidate enjoys solving complex production issues, optimizing systems, and building long‑lasting, scalable database practices.

• Manage and optimize databases across AWS RDS, Aurora (MySQL/Postgres), Postgre
  
  SQL, and Microsoft SQL Server.
• Build and enhance monitoring and alerting for availability, performance, replication lag, storage, and system anomalies using Cloud Watch, Datadog, or similar tools.
• Ensure database performance tuning, capacity planning, HA/DR readiness, and operational excellence.
• Proactively track database health and address performance or stability issues before they impact production.
• Lead backup, recovery, retention, and failover strategies.
• Act as a key responder for critical production database incidents, ensuring fast diagnosis and resolution.
• Conduct root cause analysis and implement long‑term preventive improvements.
• Improve response playbooks, runbooks, dashboards, and observability practices.
• Lead efforts to standardize and clean up database access, aligning permissions with least‑privilege and governance standards.
• Work with Data Governance and Info Sec to ensure compliance, auditing, encryption, and secure access patterns.
• Maintain consistent operational and security practices across all environments.
• Partner with the Data Engineering team to support modern pipelines, schema design improvements, and real‑time ingestion architectures.
• Provide guidance on query optimization, SQL reviews, and data model considerations.
• Support the evolution of our data platform, including real‑time ingestion (CDC, Kafka, Kinesis, etc.).
• Identify opportunities to automate manual processes, improve monitoring tools, and streamline operations.
• Maintain documentation, runbooks, and best practices to improve reliability and cross‑team collaboration.
• Contribute to tooling improvements that elevate database visibility and performance.

• 3-5 years in a database‑focused engineering or reliability role.
• Strong hands‑on expertise with AWS RDS & Aurora (Postgre
  
  SQL/MySQL), Postgre
  
  SQL administration & tuning, SQL Server administration.
• Strong understanding of performance tuning and diagnostics.
• Experience with high availability, replication, DR, and failover mechanisms.
• Backup and restore operations experience.
• IAM, access control, encryption, and auditability knowledge.
• Monitoring and observability best practices.
• Experience supporting mission‑critical production databases.
• Strong troubleshooting skills and ability to communicate effectively under pressure.
• Comfortable partnering with data engineering teams.
• Preferred:
  Experience with Snowflake or interest in supporting its adoption.
• Exposure to real‑time ingestion (Kafka, Kinesis, CDC, DMS).
• Familiarity with infrastructure‑as‑code (Terraform, Cloud Formation).
• Experience with observability tools (Cloud Watch, Datadog, Grafana, New Relic).

A proactive, detail‑oriented engineer who thrives in fast‑paced environments, prioritizes reliability and monitoring excellence, and enjoys collaborating to build a secure, scalable, and modern data platform.

Base Salary: $90,000 - $110,000 USD

The base salary range represents the low and high end of the anticipated salary range for this position based on…