Senior Database Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and manage database systems utilizing MySQL, PostgreSQL, and BigQuery, mainly on the Google Cloud Platform.

• Ensure optimal performance, uptime, and security within LOCALiQ's production database framework.

• Safeguard data and maintain its integrity, including backup procedures, recovery protocols, and disaster recovery testing.

• Conduct regular database tasks such as upgrades, patching, schema modifications, replication management, and capacity planning.

• Diagnose and improve slow queries, blocking issues, and replication challenges in collaboration with application teams.

• Evaluate database modifications to reduce deployment risks, and assist teams in designing scalable schemas and access methodologies.

• Streamline recurring operational tasks through scripting, infrastructure as code, and CI/CD pipelines.

• Engage in a scheduled 24x7 on-call rotation alongside other team members.

• Collaborate with software engineers, data engineers, analysts, and data scientists to ensure data platforms remain efficient, secure, and accessible.

⛳️ Requirements

• A minimum of 3 years' experience as a Database Engineer, Database Administrator, or in a similar position.

• Practical experience in managing production database infrastructure within a cloud environment (GCP, AWS, or Azure).

• Proficient understanding of relational databases—MySQL and/or PostgreSQL—including administration, replication, and backup/recovery processes.

• Strong SQL capabilities, with the ability to read, write, and enhance complex queries.

• Programming experience in at least one language—Python preferred, but knowledge of Go, Java, Ruby, or similar languages is also valuable.

• Familiarity with Git version control and collaborative coding practices.

• Sound judgment regarding change management, risk assessment, and data integrity in production environments.

• Bachelor's or Master's degree in Computer Science or a related discipline, or equivalent practical experience.

• A sense of curiosity, self-motivation, and a tendency towards automating repetitive tasks.

• Experience with Google Cloud Platform, especially Cloud SQL, BigQuery, GKE, and Pub/Sub; AWS experience with RDS, Redshift, EKS, and SQS is also welcome.

• Familiarity with BigQuery or other cloud data warehouses, focusing on cost and performance optimization.

• Experience with data modeling and data transformation tools such as Dataform or DBT.

• Knowledge of infrastructure as code (Terraform), containers, and CI/CD methodologies including test automation and automated deployments.

• Comfort working within an Agile/Scrum framework.

• Familiarity with digital marketing or online advertising data (SEO/SEM) is a plus.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and growth.

• Flexible working arrangements and a supportive work culture.

• Access to the latest tools and technologies.