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Database Engineer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: K&K Global Talent Solutions INC.
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Database Administrator
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview

We are looking for a skilled Database Engineer with strong expertise in PostgreSQL to help design, optimize, and maintain our database infrastructure. You will play an important role in ensuring the high performance, availability, and scalability of our database environments while supporting development and operational teams. Drive best practices and consistency of database principles implemented across all the product areas.

Responsibilities
  • Contribute to the design and implementation of PostgreSQL database systems, ensuring they are scalable, maintainable, and aligned with business goals.
  • Optimize PostgreSQL performance through query tuning, indexing strategies, and configuration adjustments.
  • Manage database replication, backup, and recovery processes using PostgreSQL-native tools and third-party solutions.
  • Monitor database health and proactively address performance bottlenecks and system anomalies.
  • Collaborate with application developers to design efficient data models and support application performance.
  • Ensure database security, access control, and compliance with data governance policies.
  • Support PostgreSQL upgrades, patching, and migration efforts across environments.
  • Implement and maintain observability using Prometheus/Grafana dashboards, alerting policies, and centralized logging.
  • Partner with operational and infrastructure teams to ensure database reliability, capacity planning, and smooth day-to-day operations across environments.
  • Create and maintain runbooks, participate in on-call rotations, triage incidents, and contribute to blameless post-incident reviews.
  • Participate in process-improvement initiatives to enhance productivity, collaboration, and data quality within the engineering team.
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