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# Sr. Database Engineer

- **Company:** Insight Global
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Automation of Tests, Big Data, Databases, Continuous Integration, Data Validation, Information Engineering, Extract Transform Load (ETL), Relational Databases, Database Connection, Distributed Data Store, Memory Management, Amazon DynamoDB, PostgreSQL, MongoDB, MySQL, NoSQL, Operational Databases, Performance Tuning, Prometheus, SQL Stored Procedures, SQL Databases, Data Analytics, Cloudwatch
- **Published:** May 19, 2026
- **Apply:** https://www.juju.com/job/00000000g0iyxj

## About the Role

3+ years in data engineering (or equivalent) with deep AWS expertise in building and maintaining production data platforms.

3+ years of proven DBA/admin expertise and experience across RDBMS (Aurora/RDS: MySQL/Postgres; Redshift) and NoSQL (DynamoDB, MongoDB): installation, upgrades, backup/restore, HA/DR, security, maintenance and performance tuning.

3+ years of expertise in production maintenance of distributed databases, across large-scale data lifecycles -including designing, maintaining partitioning, archiving, purging etc.

Working knowledge with Automation and Performance observability tools, to automate anomaly detection, proactive scaling alarms and build self-healing runtime operations tasks.

## Description

We're hiring a Senior Database Engineer to design, build, and operate AWS-native, production grade databases. You will own DBA/admin responsibilities, performance tuning, and end-to-end observability of highly available databases (SQL & NoSQL) to ensure reliable, secure, and discoverable data at-scale.

Own installation, configuration, upgrades, backup/restore, HA/DR, capacity planning maintenance, runtime of Aurora/RDS (MySQL/Postgres), Redshift, DynamoDB, and TimescaleDB.

Implement database connection and memory management, lock contentions, deadlock remediations etc. to ensure database scalability and reliability. Perform data validation, de-duplication, and cleanup tasks to maintain integrity.

Partner with Product, and other engineering teams to enable cross-functional software delivery of new/enhanced platform functions, real time and batch, scheduled/ad-hoc data analytics, reporting across use cases.

Perform SQL and NoSQL performance tuning (indexes, query plans, hot partition mitigation, connection/session tuning, auto-vacuum/maintenance) and root cause analysis for latency and throughput issues.

Implement data quality checks, data drift monitoring, and diffing across environments; alert on SLO/SLA breaches.

Build and own end to end monitoring and dashboards using CloudWatch/Prometheus (or equivalent) across storage, and serving layers, to track database health, identify slow queries, and escalate performance issues.

Treat data as code: version controlled pipelines, CI/CD for ETL/ELT, db scripts, stored procedures and automated testing/validation, environment promotion with rollback.


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