Database Engineer

Shape how we store, move, and protect data across products—performance, reliability, and recoverability for enterprise customers.

Key responsibilities

• Design and maintain PostgreSQL schemas, indexing strategies, partitioning, and migration plans in partnership with product engineering.
• Own backup, restore, replication, and failover practices; validate RPO/RTO targets with operations.
• Analyze slow queries and workload patterns; recommend schema and application-level improvements.
• Support analytics and reporting use cases with governed views, ETL patterns, or data warehouse handoffs as needed.
• Document standards for naming, retention, PII handling, and access—aligned to security and compliance expectations.
  
  

Qualifications

• 4 years hands-on with PostgreSQL (or comparable enterprise RDBMS) in production environments.
• Deep SQL expertise including performance tuning, locking, and transaction isolation tradeoffs.
• Experience with migration tooling, zero-downtime deploy patterns, and schema evolution at scale.
• Understanding of encryption, auditing, role-based access, and least-privilege database users.
• Strong collaboration skills with backend engineers and CloudOps/SRE peers.
  
  

Nice to have

• Experience with columnar/warehouse systems (e.g., Snowflake, BigQuery, Redshift) or dbt-style pipelines.
• Familiarity with Django ORM internals and multi-tenant data patterns.
• Scripting in Python for automation and data validation tasks.
  
  

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LCC-ENG-2026-003 Database Engineer

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