ETL Engineer

Daxko•Birmingham, AL

4d•Remote

About The Position

We’re looking for a curious, detail-oriented ETL Engineer who enjoys turning complex data into reliable, actionable insights. In this role, you’ll design, maintain, and improve data integration workflows that power our internal tools and client solutions. You’ll collaborate closely with fellow ETL engineers and cross-functional teams, playing a key role in ensuring data accuracy, reliability, and performance. If you enjoy problem-solving, automation, and continuously learning new technologies, this role offers an excellent opportunity to grow your ETL and engineering skill set. This position reports to the Team Lead, Data Services . Supervisory Responsibilities None.

Requirements

Functional knowledge of MySQL, SQL Server , and custom script development
Ability to analyze table structures and design custom solutions for data challenges
Strong analytical and problem-solving skills
Clear communicator who can explain complex technical concepts to audiences of varying experience
Self-motivated, organized, and comfortable working independently or collaboratively
Strong attention to detail with the ability to prioritize effectively
Professional, team-oriented mindset with a positive attitude
Associate’s degree or equivalent professional experience in ETL or software development
1–2 years of experience with: SQL and ETL scripting
Higher-level programming languages ( PHP or C# preferred )
Building stored procedures or routines for repeatable processes

Nice To Haves

Bachelor’s degree in a related field
1+ year of professional experience with: MySQL or SQL Server
PHP and/or C# (nice to have, not required)

Responsibilities

Maintain and enhance custom internal automation tools and ETL processes using PHP, C#, and SSIS
Build, test, and troubleshoot custom scripts to manipulate and load customer data with minimal supervision
Perform root cause analysis on data issues and implement long-term, scalable solutions
Monitor ETL workflows, troubleshoot failures, and ensure high data quality standards
Communicate data risks and issues clearly and effectively to internal teams and external customers
Consistently meet or exceed KPIs and performance expectations
Conduct quality assurance reviews and provide constructive peer feedback on code and scripts
Gain a strong understanding of the full implementation lifecycle to support automation and data issue resolution
Support billable development and consultation projects across teams as needed
Manage service records for small to mid-sized customers