Database Developer

Who are we:

Magnaflow is a leading manufacturer and supplier based in Oceanside, CA of premium products to the automotive aftermarket industry such as catalytic converters, performance exhaust and replacement exhaust. Through the Camburg division in Huntington Beach, CA. Magnaflow also supplies race-inspired performance suspension products and vehicle uplifting services, Magnaflow is focused on future growth through both new business development and new product introduction. Our websites are www.magnaflow.com and www.camburg.com.

Salary Range:

$130,000-$150,0000 USD

*Final agreed upon compensation will be based on a variety of factors including but not limited to an individual’s related experience, education, certifications, skills, and work location.

What you will be doing:

The Database Developer is responsible for designing, developing, maintaining, and optimizing the organization's databases, data pipelines, and reporting infrastructure. This role ensures data integrity, availability, security, and performance while supporting business intelligence, analytics, and operational applications. The ideal candidate combines strong database development expertise with modern data engineering practices to transform raw data into reliable, scalable solutions that drive business decisions.

Responsibilities:

Design, develop, and maintain high-performance database solutions, including complex stored procedures functions, and query optimization across SQL Server and Azure SQL environments
Build and manage scalable, fault-tolerant ETL/ELT pipelines using both on-prem and cloud-based tools (e.g., SSIS, Azure Data Factory, Databricks)
Develop and support enterprise data warehouse and data mart architectures to enable reporting, analytics, and business intelligence initiatives
Collaborate with application developers, analysts, and business stakeholders to translate business requirements into efficient data models and solutions
Ensure data quality, integrity, and consistency through validation, monitoring, and implementation of data governance best practices
Optimize database and warehouse performance through indexing, partitioning, query tuning, and workload management
Implement robust backup, recovery, and disaster recovery strategies to ensure availability and resilience of critical data systems
Support integration between enterprise systems (ERP, WMS, etc.) through reliable and scalable data pipelines
Troubleshoot and resolve data-related issues, performance bottlenecks, and ETL failures in production environments
Support users with analytics tools such as PowerBI